Tag: Oracle HCM

Oracle’s AI-Powered Future for Recruiting: Connecting the Entire Hiring Journey

~ K8 Mead ~ 2 Comments

Recruitment teams are under pressure from every angle. Candidates expect faster responses, personalised interactions and greater transparency throughout the hiring process. At the same time, organisations are increasingly shifting towards skills-based hiring and talent management, often while juggling disconnected systems, inconsistent processes and growing workloads. This is where Oracle’s latest AI-powered recruiting capabilities are aiming to make a real difference. Rather than introducing another standalone AI tool, Oracle is embedding intelligent agents throughout the recruitment lifecycle to help organisations attract, engage, hire and onboard talent more effectively.

Oracle’s AI Agent Framework for Recruiting brings together a collection of specialised AI agents that support different stages of the hiring process. Instead of acting as isolated tools, these agents work together across the recruitment journey, sharing context and information to create a more seamless experience for both candidates and hiring teams. The objective is straightforward: improve candidate experiences, reduce manual effort and help organisations make better hiring decisions more quickly.

One of the most visible innovations is Career Coach, Oracle’s candidate-facing AI assistant. Integrated directly into career sites, Career Coach helps candidates discover relevant opportunities based on their skills, experience and career interests. Rather than searching through dozens of vacancies, candidates receive personalised recommendations and guidance throughout the application process. They can upload CVs, ask questions and complete applications through a conversational experience that feels far more natural than traditional online forms.

Perhaps most interesting is Career Coach’s ability to provide personalised application feedback. Candidates can receive recommendations on how well their application aligns with the role requirements, highlighting skills, qualifications or experiences that may strengthen their submission. For organisations, this has the potential to improve application quality while creating a more supportive and engaging candidate experience.

Maintaining regular communication throughout recruitment remains a challenge for many organisations, particularly when managing high application volumes. Oracle addresses this through AI-powered messaging capabilities that can answer routine candidate questions and provide updates through channels such as email, SMS and WhatsApp. Candidates can receive information about interview stages, scheduling, timelines and next steps without waiting for a recruiter to respond. The result is a more responsive recruitment process while allowing recruiters to focus their attention on higher-value interactions.

Recruiters are not the only beneficiaries of Oracle’s AI investment. Hiring managers are often required to review large volumes of candidate information, interview feedback and assessment results before making decisions. Oracle’s Hiring Assistant helps simplify this process by generating concise candidate summaries and surfacing key information from across the recruitment lifecycle.

Instead of reviewing multiple documents and feedback forms, hiring managers can quickly understand a candidate’s suitability, relevant experience and alignment with role requirements, helping them make more informed decisions while reducing administrative effort.

Interviews remain one of the most important stages of the recruitment process, yet they can be time-consuming to organise and document. Oracle is introducing new capabilities that help streamline interview management. Interview Companion, arriving across upcoming releases, will assist interviewers before, during and after interviews.

Before the interview, it can generate interview guides tailored to the specific role and candidate. During the interview, it can help interviewers track discussion topics and ensure key areas are covered. Afterwards, it can automatically generate transcripts, summaries, interview notes and suggested follow-up actions.

These capabilities have the potential to improve consistency across interviews while reducing the administrative burden placed on hiring managers and interviewers. Oracle is also expanding its partner ecosystem through integrations with organisations such as Eightfold.ai and Phenom, bringing additional capabilities including AI-driven interviewing and skills assessment.

For organisations operating in sectors such as retail, hospitality and frontline services, recruitment often centres around hiring large numbers of employees quickly. Oracle’s Hiring Workspace for Store Managers has been designed specifically for these environments. The workspace provides managers with a simple, action-focused view of recruitment activity, highlighting vacancies requiring attention, identifying potential pipeline issues and recommending next steps.

Managers can quickly identify strong candidates, progress applications and manage recruitment activity without needing extensive experience with a traditional applicant tracking system. For organisations managing high-volume recruitment, this could significantly improve hiring speed and reduce delays in filling critical roles. It should be noted that this is an Agentic App and as such requires the Agentic Application Platform licence.

Finding talent remains one of the most challenging aspects of recruitment. Oracle is investing heavily in AI-powered sourcing capabilities to make this process more efficient. Recruiters can use natural language search to identify candidates based on skills, experience and other criteria, without relying on complex search strings. AI-powered recommendations help identify suitable candidates from existing talent pools, reducing the risk of overlooking qualified individuals who may already exist within the organisation’s database. Combined with automated outreach and personalised engagement, these capabilities aim to help recruiters build stronger pipelines while reducing manual sourcing effort.

The recruitment experience does not end when an offer is accepted. Oracle is continuing to strengthen the transition between recruitment and onboarding by helping organisations maintain communication with new hires from offer acceptance through to their first day. Automated communications, onboarding updates and personalised engagement help reduce the risk of candidate drop-off while creating a more consistent experience. This continuity can be particularly valuable in competitive talent markets, where maintaining engagement after offer acceptance is just as important as attracting candidates in the first place.

Oracle’s vision for recruiting is becoming increasingly clear. Rather than viewing AI as a collection of disconnected features, Oracle is building an ecosystem of specialised agents that work together across the entire hiring lifecycle. Many of these capabilities are already available today, while others will be introduced through upcoming releases such as 26C and 26D. Together, they represent a significant shift towards more intelligent, proactive and personalised recruitment experiences.

For organisations looking to improve candidate engagement, increase recruiter productivity and support skills-based hiring strategies, these innovations offer a glimpse into how recruitment technology is evolving from process automation to genuinely intelligent talent acquisition.

Please note that some capabilities discussed may require additional Oracle licensing, including Oracle Recruiting Booster. Organisations should confirm availability and licensing requirements with Oracle before implementation.

All screenshots are the property of Oracle and are used in accordance with Oracle’s Copyright Guidelines.

Oracle Fusion HR Help Desk: What AI Actually Looks Like in Practice

~ K8 Mead ~ Leave a comment

When Oracle talks about AI in Fusion Applications, it’s easy to assume we’re talking about a chatbot sitting on top of an existing process. In reality, Oracle has been quietly embedding AI throughout the entire HR Help Desk lifecycle, from the moment an employee has a question through to the point a case is resolved and closed.

What’s particularly interesting is that these capabilities aren’t isolated features. They work together to create a service experience that is increasingly proactive, intelligent and efficient for both employees and service teams.

Let’s walk through what that journey looks like in practice. The best help desk case is often the one that never needs to be raised. Oracle’s AI-powered employee assistance capabilities, available through the My Help experience, allow employees to ask questions in natural language and receive immediate guidance based on knowledge articles and HR process information. Instead of navigating FAQs or searching through documentation, employees can simply ask questions in their own words and receive conversational responses. Whether an employee wants to understand a policy, find information about benefits, or work out how to complete a process such as requesting leave, the AI assistant acts as the first point of contact and attempts to resolve the issue through self-service.

This is also the direction Oracle is taking strategically. Organisations still using Oracle Digital Assistant (ODA) skills for HR Help Desk should be aware that Oracle is moving towards the newer Redwood-based AI Agent framework, with legacy ODA capabilities being phased out in favour of the new experience.

Of course, self-service won’t solve every issue. When additional support is required, Oracle’s Help Desk Request Creator AI Agent can automatically create a help desk request using the details already captured during the conversation. Information such as the request description, category and other key details can be populated automatically, avoiding the frustrating experience of employees having to repeat everything they’ve already explained. For employees, that means a smoother support experience. For service teams, it means better-quality requests arriving in the queue with the right information from the outset.

One of the most time-consuming parts of any service desk operation is getting requests to the right team. In many organisations, someone still needs to review incoming requests, determine the nature of the issue and assign it appropriately. Oracle uses machine learning to automate much of this process. When a help desk request is created, whether through self-service, email or another channel, Oracle can analyse the content and predict the most appropriate category before routing it to the correct queue.

Imagine an employee emails HR because their tax code is incorrect on their payslip. Rather than waiting for manual triage, the system can identify the request as payroll-related and route it directly to the relevant team. What makes this particularly valuable is that the model improves over time. Oracle trains the categorisation engine using historical case data, allowing it to learn from previously resolved requests and continually improve its accuracy. Administrators can monitor performance through dedicated insights dashboards, helping them understand how effectively the model is classifying requests and what impact it is having on resolution times.

Once a case reaches a service agent, Oracle introduces another layer of AI support. A common challenge within HR Help Desk is the amount of time agents spend reviewing case history before taking action. Long-running cases often contain multiple updates, conversations and handovers, making it difficult to quickly understand what’s happened so far.

Oracle addresses this through a series of AI-powered summarisation capabilities. Agents can generate instant summaries of requests, review concise overviews of recent activity and use AI-generated handover notes when transferring cases between teams. When the case is resolved, AI can also generate draft resolution notes to help document the outcome.

These may seem like small improvements individually, but collectively they remove a significant amount of administrative effort from the case management process. In 26B, Oracle enhanced these capabilities by rebuilding them as configurable AI Agents managed through AI Agent Studio. While the experience remains familiar to end users, organisations gain much greater flexibility over how these capabilities operate.

Beyond summarisation, Oracle also provides a Resolution AI Agent that can analyse an open case and suggest a potential response. Rather than manually searching for relevant knowledge articles or previous resolutions, agents receive a recommended draft response based on the details of the current case. Importantly, the AI does not make decisions on behalf of the service agent. It provides recommendations, while the agent remains responsible for reviewing and approving the final response.

Of all the AI capabilities currently available within HR Help Desk, Case Analyzer is arguably the most transformative. Complex cases often involve multiple stakeholders, tasks, updates and handovers. Understanding the history of a case can sometimes take longer than resolving the issue itself. Case Analyzer is designed to address that challenge.

When launched, the AI Agent reviews the entire case record, including notes, messages, tasks, action plans and other relevant information. It then presents that information through a conversational interface that allows agents to explore the case in far greater detail. Agents can view a timeline of events, identify important developments, ask specific questions about the case and receive suggested next-best actions. The tool can also highlight potential escalation risks and help agents understand whether additional attention may be required.

What I particularly like about this capability is that it moves beyond simple summarisation. Rather than giving you a static overview, it allows you to have an interactive conversation with the case itself. For newer service agents, this can significantly reduce the time needed to understand a complex issue. For experienced agents, it provides confidence that important details haven’t been overlooked. Oracle has continued to invest in this capability, with 26B introducing configurable starter prompts that help guide users towards the types of questions they can ask.

A controlled availability feature that is also worth watching is the evolution of My Help into a broader employee workspace. Rather than focusing solely on conversational support, the workspace brings together employee tasks, open requests and relevant knowledge content into a single AI-driven experience. While still in the early stages of adoption, it provides a useful glimpse into how Oracle sees the future of employee support. It should be noted that this utilises the Agentic Application Platform which requires a separate licence.

The real value is not any single AI feature. It’s the way they work together. Employees receive assistance before a case is raised. Requests are categorised and routed automatically. Agents receive summaries, recommendations and drafted responses. Complex cases can be analysed through a dedicated AI assistant. Resolution notes can be generated automatically at closure. Taken together, these capabilities represent a shift away from traditional ticket management and towards a more intelligent service model that actively supports both employees and HR service teams throughout the lifecycle of a request.

There is another important point worth mentioning. All of these capabilities are embedded within Oracle Fusion Applications and operate within the existing security and access framework. For organisations handling sensitive HR data, that matters just as much as the AI functionality itself.

If you’re already using Oracle HR Help Desk, it’s worth taking a fresh look at what’s available in your environment. Many of these capabilities have arrived gradually over recent releases, making them easy to overlook. Taken together, however, they represent one of the most comprehensive examples of how Oracle is embedding AI directly into everyday business processes.

Please note that all screenshots are the property of Oracle and are used in accordance with Oracle’s Copyright Guidelines.

Oracle’s HCM Professional Concierge: What It Is, How It Works, and Why It Matters for HR Teams

~ K8 Mead ~ Leave a comment

Oracle has been steadily building out its AI story in HCM Cloud, but the HCM Professional Concierge is one of the first examples that really feels tangible for HR teams. This is not AI added for the sake of it. It is a set of purpose-built, role-aware conversational agents, built directly into the HCM Redwood experience. For me, it stands out as one of the more considered uses of AI Agents in enterprise HR.

If you work in HR operations or as an HR Business Partner, the scenario will feel familiar. A manager wants to understand where their team sits on compensation ahead of a salary review. They open Employment Info, scroll through individual records, try to piece together performance data from one place, compensation history from another, and absence data from somewhere else. It is not a difficult task, but it is a fragmented one. Before long, ten minutes have passed just getting a basic view.

The HCM Professional Concierge simplifies this by bringing everything into a single conversational experience, embedded wherever the HR user is already working. Instead of navigating between screens, they ask a question. The agent brings together the relevant data, guides the next step, and in some cases can even trigger the action directly from the conversation.

It is worth understanding that this is not a single AI agent working behind the scenes. Oracle has taken a supervisor and sub-agent approach, where a top-level Concierge Supervisor receives the user’s query, interprets the intent, and then routes it to the most appropriate specialist agent.

Within the HR Professional Concierge, those specialist agents each focus on a particular area of HR. For example, the Compensation Advisor brings together key information such as compensation data, compa‑ratios, time since the last salary change, and pay grade details for a manager’s direct reports. The Talent Advisor focuses on performance, helping to summarise ratings and support more informed performance conversations.

Other agents support core HR data and processes. The Employment Details Assistant provides access to employment history, assignment information and worker details, while the Leave and Absence Analyst helps identify and manage absence across a team. There is also support for understanding organisational design through the Workforce Structures agent.

In addition, the Concierge can surface policy and guidance through the Policy sub-agent, review personal worker data where needed, and launch reporting through the Reports sub-agent. For broader, team-level insight, the Team Data Hub helps bring data together to support analysis.

What this means in practice is that the user experiences a single, coherent conversation, even though multiple specialist agents may be working in the background to fulfil the request.

So when a manager asks, “show me the most recent performance rating and time since the last salary change for my direct reports”, the Manager Concierge Supervisor recognises that the query spans both compensation and talent data. It then coordinates across the Compensation Advisor and the Talent Advisor behind the scenes. What comes back is a single, joined-up view, rather than two separate outputs that the manager has to reconcile themselves.

That orchestration across multiple agents is where the real value starts to show. Conversational assistants in enterprise applications are not new in themselves. What is more interesting here is the ability to coordinate specialist agents within a single interaction, carry context across the conversation, and route requests intelligently based on both the topic and the data required.

Oracle has introduced three distinct Concierge experiences, each designed around a specific user group and how they typically work. The HCM Professional Concierge is aimed at HR specialists and HR Business Partners. It sits within the HCM Professional Activity Centre, which has become the central workspace for HR service delivery, and supports the sort of queries an HR analyst would usually run. That includes pulling together workforce data for individuals or manager populations, reviewing compensation and employment history, running reports, looking up policies, and guiding HR actions within the flow of work.

The Manager Concierge is focused on line managers who need quick, straightforward access to information about their teams. It brings together compensation, absence, talent and employment data without the need to navigate into individual worker records. The experience adapts based on both the question being asked and the context of the manager’s team, giving them a practical way to not only view information but also complete common HR tasks directly.

The Worker Concierge, meanwhile, is designed for employees themselves. It brings together support for areas such as leave, payroll, benefits and compensation into a single, consistent experience. Behind the scenes, it routes queries to the relevant specialist agent, whether that relates to absence, benefits, pay, or compensation, so the employee does not need to think about where to go to get the answer.

A simple scenario helps bring this to life. A line manager has been told that budget has been allocated for pay rises and promotions across the organisation. Before making any decisions, she wants a clear view of where her team currently stands. Using the Manager Concierge, she can ask a straightforward question in natural language, such as “how long has it been since my direct reports received a pay rise?” The Compensation Advisor returns the answer in a structured, easy-to-read format. She then follows up with a more specific question, “what is Elaine’s compa-ratio?”, and gets a direct response.

Within the same conversation, she can ask for performance ratings through the Talent Advisor and pull through grade information using the Employment Details Assistant. It all happens in one place, without needing to navigate between screens. Multiple specialist agents are working in the background, but from the manager’s perspective it feels like a single, joined-up interaction.

The HR specialist perspective is just as telling. If someone is working on an Employment Info page for a specific worker, they can open the Concierge panel and ask something like, “what is the salary history for Ravi?” or “where is Ravi located?” The response comes back as structured data pulled directly from HCM, without the need to navigate away or open multiple pages.

One question that comes up consistently when Oracle’s AI features are discussed is around data access and security. It is an important one, and the answer here is reassuring. The HCM Professional Concierge works within the same data and functional security model already applied across the HCM Redwood experience. If an HR specialist does not have permission to view a particular employee’s salary in the core application, they will not be able to access it through the Concierge either. There is no separate access layer being introduced. It simply operates within the role-based controls that are already in place.

For organisations working across multiple geographies, the same principle applies. The agent respects the existing configuration of Redwood pages, including any geography-specific policies and legislative requirements. There is also flexibility to tailor how the agent behaves by refining prompts to reflect your organisation’s terminology or local nuances.

The Concierge also sits within a broader shift in how Oracle is shaping the HR user experience. It is alongside the HCM Professional Activity Centre, which acts as a unified Redwood workspace for HR administration. The Activity Centre brings together a more flexible approach to worker search, with filtering, saved views and personalised results. From there, HR specialists can move straight into transactions from a worker’s profile without switching to a separate area. Common actions are surfaced directly in the interface, including access to areas such as the Recruiting Activity Centre, Mass Assignment Change, Mass Legal Employer Change, Payroll Activity Centre and Attendance Violations, which makes it easier to act on information as soon as it is identified.

The Concierge is always present within the Activity Center, giving HR specialists access to conversational support in the context of the work they are already doing.

It also sits within a much broader direction Oracle is taking with role-based, agent-led HR applications. The HR Specialist Workspace is a good example of where this is heading. It builds on the same foundations, but moves towards a Redwood workspace where multiple specialist agents work together to surface relevant insights more proactively.

In that model, the workspace brings together a view of workforce priorities, potential restructuring impacts, compliance alerts, attrition risk and open HR cases. These are drawn from coordinated agent outputs across areas such as Workforce Management, Talent and Learning. The shift here is subtle but important. The agents are not just responding to questions, they are actively identifying what might need attention and presenting it to the user.

There is also a clear emphasis on governance. Audit trails, controls and human oversight are built into how actions are handed off. Oracle is quite deliberate in positioning this around measurable outcomes, with coordinated agent activity and clear decision points. That creates an important distinction from more autonomous AI models. Here, the agents surface and recommend, but people remain firmly in control of decisions and actions.

From an implementation perspective, the HCM Professional Concierge and its supporting agents are delivered as part of Oracle HCM Cloud Release 26C. There is no need to build these capabilities from the ground up. They are available out of the box, with the ability to adapt behaviour through prompt configuration so that it reflects your organisation’s terminology and ways of working.

As ever, I will keep a close eye on how this develops across the HCM suite and share updates as new capabilities emerge. If you are starting to think about how this fits into your wider HCM AI strategy, or you are planning for a 26C upgrade, now is a sensible point to begin that conversation.

Please note all screenshots are the property of Oracle and are used according to their Copyright Guidelines

Oracle HCM Cloud Compensation 26C

~ K8 Mead ~ Leave a comment

I realised recently that I have never actually written a post analysing a Compensation quarterly release. With 26D being the deadline for moving Compensation worksheets to Redwood, release 26C felt like the right time to change that. There is likely to be more to come over the next few weeks, but for now it is worth looking at what has been announced so far.

The feature many people have been waiting for to support that final move to Redwood is now here. The Redwood Workforce Compensation worksheet brings a much cleaner and more intuitive experience for managers, with everything presented in a single, streamlined view. From the landing page, managers can easily access their worksheets and use built-in capabilities such as audit trails, modelling and target application to review and adjust awards with greater confidence. Filtering, search and layout personalisation make it easier to focus on the right employees and the most relevant data. At the same time, guided information panels and simplified alerts help managers understand what needs attention without being overwhelmed. In practice, this reduces the time spent navigating the system and allows managers to focus on making informed compensation decisions.

The design also improves transparency and control. Managers can switch currencies, review how calculations have been derived, and access supporting information such as compensation history, notes and assignment details without leaving the worksheet. Key summary information remains visible while scrolling, so important totals and budgets are always in view. These changes make the process feel more straightforward and help reduce errors and rework, giving organisations greater confidence in the accuracy and consistency of outcomes.

Another interesting addition is the Workforce Compensation Manager Analyst agent, which introduces a more conversational way for managers to interact with their compensation plans. Rather than moving between multiple worksheets and pages, managers can ask questions in natural language and get immediate answers on areas such as budget position, approval status, due dates and manager-level overages. Because the agent works within the context of a specific compensation plan, the responses are relevant and focused, without the need to interpret multiple screens or reports.

From a manager’s perspective, this removes a lot of the friction from the compensation cycle. It cuts down the number of clicks and removes the need to search for information across the system. Managers can quickly sense-check budgets, track progress and identify issues as they arise, all from a single interaction. This supports faster and more confident decision making and helps keep compensation cycles on track.

The enhancements to Redwood Individual Compensation extensibility give organisations far greater control over how compensation changes are entered and managed. Values can now be defaulted not only when creating proposals, but also when correcting or updating them, using dedicated attributes for each scenario. When combined with the ability to apply validation rules to the same fields, this creates a more structured approach to managing individual compensation. These capabilities sit across key processes such as hiring and promotion, as well as within dedicated compensation pages, ensuring consistent behaviour wherever compensation decisions are made.

For users, this reduces manual effort and helps prevent errors before they happen. Defaulting removes the need to repeatedly enter common values, while validation ensures entries meet organisational policies from the outset. At the same time, visibility of who created or updated a record, along with timestamps, strengthens auditability. This makes it easier to track changes and supports a more controlled and reliable process overall.

Alerts within Workforce Compensation have also been simplified. Instead of a wide range of alert types and icons, everything is now grouped into three clear categories: Error, Warning and Information. Existing alert variations have been consolidated, with only genuinely blocking issues presented as errors. This removes much of the visual noise that previously made alerts harder to interpret, and presents information in a more structured way.

For managers, the benefit is immediate. It becomes much easier to distinguish between issues that require action and those that are simply informational. This helps with prioritisation during the compensation process, reduces the risk of missing something important, and supports smoother progression through the cycle.

The final feature is one that has been requested for some time and originates from a customer idea raised on the Ideas Lab. The new Total Compensation Statements Setup OTBI subject area allows organisations to report on how their total compensation statements have been configured. It provides visibility of key elements such as statement definitions, periods, categories and items, along with the relationships between them. With enriched folders and sub-folders, users can explore the structure in more detail and understand how statements are built, without relying on manual documentation or configuration reviews.

This brings greater transparency and control over statement setup. It becomes easier to answer common questions, such as how many items or categories exist, how they are structured, and how they are distributed. This supports better governance and quicker troubleshooting, particularly when reviewing or refining statement designs. By making configuration data more accessible, organisations can maintain consistency in how total rewards are presented and reduce the effort required to manage these statements over time.

As mentioned earlier, Oracle is expected to release additional updates later this month. If anything particularly impactful is introduced, I will share a further update with a more detailed view.

Please note all screenshots are the property of Oracle and are used according to their Copyright Guidelines

Oracle HCM Cloud Recruit 26C

~ K8 Mead ~ Leave a comment

With the final deadline for Redwood Recruiting having passed in 26B, the 26C release introduces further innovation, with a strong focus on AI alongside additional Redwood pages to improve the overall user experience. With that in mind, let’s take a look at what’s coming for Recruiting in 26C. As always, Oracle may introduce additional features as the quarter progresses, and if anything particularly notable appears, I’ll share a follow-up update.

The first feature I want to highlight introduces an AI-driven approach to initiating sourcing activity directly from the Recruiting Activity Centre. Oracle has provided a preconfigured agent template designed to sit within recruiting workflows and respond to key requisition activities. Once set up, the agent can automatically trigger when certain activity states are reached, such as when a requisition is awaiting submission, formatting, posting or approval. At that point, the agent can create candidate pools and, if activity slows, generate recruitment campaigns, for example where there have been no recent applications. This all runs in the background once the activity is assigned and the relevant scheduled process is running, removing the need for recruiters to step in manually.

The benefit here is removing friction at the start of the sourcing process and maintaining momentum without relying on manual intervention. Routine but essential tasks such as building candidate pools or launching campaigns are handled automatically and at the right time. This allows recruiters to focus on higher value activities such as engaging with candidates and hiring managers. It also introduces a more consistent approach to sourcing, with the same logic applied across requisitions. Over time, this should lead to faster pipeline creation, fewer delays in attracting candidates and a more proactive hiring approach, even when activity slows.

The next feature, Activity Centres: Automatically Launch AI Agents from Activities, builds on this by making AI agents a standard part of how Activity Centres operate across Recruiting, Sourcing and Interview processes. Organisations can configure published HCM workflow agents to respond automatically when activities are generated, carrying out actions or sending notifications without manual input. By assigning an agent to an activity through a simple configuration and running the scheduled process, the system can identify activities that require action and trigger the relevant agent. As the agent progresses, it updates its status so the system can track whether tasks are in progress, complete or need to be retried.

The value here is in keeping workflows moving without constant user involvement. Activities no longer sit waiting for someone to pick them up or remember the next step. Instead, the system helps move tasks forward and keeps stakeholders informed. This leads to quicker task completion and more consistent execution across recruitment stages, helping to reduce delays in the hiring process. It also improves coordination between recruiters, sourcing teams and interviewers by reducing the reliance on manual follow-ups and emails.

Another key update introduces a more structured and scalable way to support AI-driven content across the external candidate experience. Oracle has moved away from the earlier Prompt Lab approach and standardised on workflow agents that sit behind AI Assist capabilities on career site pages. These preconfigured agents, managed through AI Agent Studio, support a range of scenarios including generating job summaries for search, creating career site content, surfacing relevant assets on job descriptions and providing job fit insights to candidates. As these agents are designed to be reusable and channel agnostic, they can be applied consistently across the candidate journey while still allowing organisations to tailor them.

From a business perspective, this creates a more flexible and modern foundation for candidate engagement. Content generation becomes easier to manage and more consistent, reducing duplication and manual effort. Candidates benefit from richer and more relevant information, helping them better understand roles and suitability before applying. Importantly, this aligns with Oracle’s longer-term direction, giving customers a clearer path forward with a solution that is easier to extend, maintain and evolve as AI capabilities continue to mature.

Smart Search is another enhancement that improves the job search experience in a practical way. Rather than being limited to fixed locations, candidates can now search based on proximity to any location that matters to them, including their current position. The introduction of a search radius provides a more realistic view of available opportunities, helping candidates focus on roles within a reasonable commute. Features such as browser-based location detection also remove friction, making it quicker to find relevant roles.

This is likely to improve both candidate satisfaction and application quality. Candidates are more likely to find roles that genuinely fit their circumstances, while organisations benefit from more relevant applicants. As Smart Search is expected to become the default in a future release, it is worth reviewing your current configuration, particularly the use of fixed versus proximity-based search, to ensure it reflects how your workforce operates.

For organisations using ‘Apply with Indeed’, it is important to plan ahead as this functionality will be discontinued in 27A due to changes in Indeed’s integration model. Transitioning to Direct Apply will help avoid disruption and provides a more seamless and modern candidate experience while ensuring continuity as the legacy functionality is retired.

Turning to Redwood enhancements, the Generate Job Requisition Posting Description Using AI Agent feature brings AI-assisted job description creation directly into the Redwood experience. Using a workflow agent, content can be generated across key sections such as the summary, responsibilities and qualifications. For recruiters and hiring managers, this makes it quicker and easier to create clear and consistent job adverts without starting from scratch.

The shift to an agent-based approach also provides a more robust and future-ready foundation, replacing earlier prompt-based methods while maintaining a familiar experience. For organisations, this means reduced manual effort, greater consistency in how roles are presented and ultimately a stronger candidate experience through clearer, more engaging job descriptions.

Another update, driven by customer feedback through the Ideas Lab, is Bulk Candidate Creation by Uploading Resumes. This allows recruiters to upload multiple CVs at once, with AI extracting key information and automatically populating candidate profiles. Rather than manually entering details for each individual, recruiters can review and refine the extracted information within the candidate record, balancing efficiency with data quality.

The benefit here is a significant reduction in administrative effort and a faster turnaround from receiving CVs to having candidates ready in the system. It also helps teams manage higher volumes more effectively, particularly during peak recruitment periods, while ensuring consistency in how candidate records are created.

Finally, Bulk Actions on the Job Requisitions List makes it easier to manage large volumes of requisitions. Recruiters can now update multiple records in a single action rather than working through each one individually. This includes moving roles through the lifecycle, opening them for sourcing or updating hiring teams. The ability to update the hiring team across multiple requisitions is particularly useful when responsibilities change, removing repetitive manual updates.

For users, this delivers a clear improvement in efficiency and scalability. Bulk actions reduce time spent on administrative tasks and help teams keep pace during busy periods, while asynchronous processing allows larger updates to run smoothly in the background. The result is a more streamlined and consistent way of managing requisitions at scale.

Oracle often introduces additional features as the quarter progresses, so it is worth keeping an eye out for further updates. If anything particularly impactful emerges, I will share a follow-up. In the meantime, if you are planning your 26C adoption or want to explore the updates in more detail, take a look at my latest write-up covering the Core HR enhancements.

Please note all screenshots are the property of Oracle and are used according to their Copyright Guidelines

Oracle HCM Cloud Learn 26C

~ K8 Mead ~ Leave a comment

This is an exciting time for Oracle Learn. Release 26C is the last release before all Learn functionality becomes mandatory in Redwood, with the final switch happening in 26D. That deadline brings in the remaining Learning Admin tasks too. If you have not already made the move to Redwood for Learn, now really is the time to do it. In the meantime, here is a look at what is new in 26C.

The first feature I want to highlight is not directly related to the Redwood deadline, but it is too interesting to leave until later. Oracle has introduced Agentic Courses, a new approach to self-paced learning that uses AI agents to guide learners through curated content in a far more interactive and responsive way. Instead of working through static material, learners are supported by an experience that adapts to their pace, checks their understanding as they go, and offers targeted support where it is needed.

The structure is still defined by learning designers, but each learner can move through the content in a way that suits them. That includes recap, reinforcement and extra support where required. What stands out here is the ability to deliver genuinely personalised learning at scale, without increasing the effort needed to design or administer it. Learning specialists can reuse templates and deploy them quickly, while the AI handles the day-to-day interaction with learners.

The end result is more effective training, faster progression to competency, and better use of employees’ time, all while keeping outcomes consistent. It is also worth noting that this is not an agentic application, so there is no requirement to purchase the Agentic App platform to use it.

The next feature is the redesigned Redwood experience for specialisation management. This brings a much clearer and more visual approach to creating and managing learning paths. The new Activities tab pulls everything into a single interactive view, making it easier to understand the overall structure, see dependencies, and define completion and access rules. Alongside this, the Assignments tab gives a clear, near real-time view of learner progress, so administrators can track enrolments, monitor completion, and step in where needed.

The benefit here is both clarity and control. Learning specialists can build more structured and engaging learning journeys with less effort, while built-in checks help prevent common issues such as conflicting dependencies. For learners, it is much clearer what is expected and what comes next, which supports better engagement. For organisations, this means more effective delivery of training and stronger oversight of compliance and development programmes.

Another new page in Redwood is the updated experience for category and topic management. This gives learning teams a more straightforward way to organise and maintain their catalogue. The interface is built around tasks, with list, category and topic views supported by search, filtering and saved searches. Administrators can quickly create and update categories and topics, manage visibility and featured dates, and move easily between high-level structures and more detailed content.

The value here is in making catalogue management simpler and more consistent. Learning teams can organise content more effectively, which makes it easier for learners to find what they need. It also aligns with the wider Redwood experience, reducing the learning curve for administrators and helping improve productivity. In practice, this leads to a more organised and accessible catalogue that is easier to maintain over time.

Oracle has also introduced a set of enhancements to assignment status management. These give learning teams much tighter control over how assignments are handled, with expanded support for actions such as waitlisting, undoing completion, approving, withdrawing and allocating seats. There are also clearer rules around when each action can be applied.

In day-to-day terms, this means administrators can manage a wider range of scenarios directly within Redwood, without relying on workarounds. The improvement here is in both governance and day-to-day efficiency. By aligning actions to defined rules and adding more control, organisations can manage assignments more consistently and reduce the risk of error. It also becomes easier to handle exceptions and manage capacity, which supports a more reliable learner experience overall.

Another useful enhancement is within the Instructor Activity Center. The updated calendar now brings together teaching commitments and the instructor’s own learning calendar, making it easier to spot clashes and plan ahead. There is also a new seat availability filter, which highlights sessions that are low on enrolment, fully booked, or have waitlists.

This gives instructors a single, practical view of their schedule. They can manage their time more effectively, avoid conflicts, and take action where needed, for example by promoting under-enrolled sessions or adjusting plans. For organisations, this helps optimise class capacity and make better use of instructor time.

The final feature I want to call out is one that came directly from a customer idea. The Learning Catalog has been enhanced to give clearer visibility into how events, courses and learning paths are connected. The updated “Where Used” capability makes it much easier to explore these relationships, with clickable links that take you straight to related items. Supporting information is displayed in a structured way that mirrors the layout of the detail pages, making it easier to understand how everything fits together.

This improves transparency across the catalogue. Learning teams can see dependencies more clearly, which reduces the risk of unintended impact when making changes. It also supports more consistent management of learning structures, helping maintain a clean and well-organised catalogue over time.

As always, Oracle may introduce additional updates as the release cycle progresses, so it is worth keeping an eye out. If anything particularly interesting appears, I will share a follow-up to make sure you are fully up to date.

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Oracle HCM Cloud Payroll 26C

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It’s that point in the quarter again, and Release 26C brings a solid set of Payroll updates across global capabilities, UK legislation, US compliance, and a particularly strong set of enhancements for Ireland. As always, Oracle may introduce further updates as the release progresses, but here’s what stands out so far.

One of the most useful additions in this release is enhanced audit visibility for costing. Payroll and finance teams now have a clear, end-to-end view of changes made across costing setups. This means you can quickly understand what has changed, when it changed, and who made the change, without relying on manual tracking or investigation.

In practice, this improves both control and confidence. It supports audit readiness, reduces time spent investigating discrepancies, and makes it easier to explain costing outcomes to stakeholders. The fact that it is available straight away, with no setup required, makes it an easy win.

Another helpful improvement is the introduction of a consolidated view of costing configuration within the Redwood experience. Instead of switching between different areas to understand how costing is set up, everything is now visible in one place.

The benefit here is simplicity. It becomes much easier to validate configuration, spot inconsistencies, and understand how costing is applied across different levels. For teams supporting multiple payrolls or complex structures, this will save time and reduce the risk of mistakes.

The continued rollout of Redwood is also worth noting. Additional payroll setup pages have now moved across, bringing a more consistent and searchable user experience. For teams already using Redwood, this reduces the need to move between interfaces. For others, it is another step towards a more modern and intuitive payroll administration experience.

There are four key UK updates in 26C, starting with one that requires action. The update to RTI encryption introduces a stronger approach to protecting submission credentials. While this is not applied automatically, it is important to prioritise, as it ensures compliance with the latest security standards. The benefit is straightforward: improved protection of sensitive payroll data and reduced risk in RTI submissions.

The next update is the automatic enablement of Redwood for key employee self service pages, including Pension Enrolment and New Starter Declaration. For organisations already using these, it removes the need to manage profile options. For employees, it means a more consistent and user-friendly experience when completing important payroll-related tasks.

There is also an update to international payment formats to align with ISO 20022 standards. For payroll teams managing cross-border payments, this provides better alignment with modern banking requirements and supports smoother processing with financial institutions.

One of the more visible enhancements is the introduction of a digital P45 through Document of Record. Traditionally, P45s have been a manual and paper-heavy process. This change allows organisations to publish them directly to the employee record.

The benefit is flexibility and accessibility. Employees can access their P45 online, payroll teams reduce administrative effort, and organisations can move closer to fully digital processes. It does require some setup, but the long-term efficiency gains are clear.

For US customers, 26C focuses on simplifying compliance and improving visibility.

The automatic synchronisation of local tax jurisdictions based on employee address changes addresses a long-standing challenge. Instead of relying on manual updates, the system now helps keep tax data aligned automatically. This reduces the risk of incorrect tax withholding and lowers the administrative burden on payroll teams. It is particularly valuable for organisations with a mobile workforce or frequent address changes.

There is also an enhancement to the management of involuntary deductions within Redwood. This brings all relevant information into a single, structured view. The key benefit here is clarity. Payroll administrators can see everything they need in one place, making it easier to manage complex deductions, respond to queries, and ensure accuracy. It also supports better decision making without increasing complexity.

The final US update supports states where employer matching contributions must be included in SUI taxable wages. While this requires some planning to adopt, it ensures compliance with state-specific rules and avoids potential processing or reporting issues.

Ireland sees the most significant legislative investment in this release, with four new features. The introduction of Carer’s Leave brings support for extended unpaid leave in line with legislation. For employers, this provides a structured way to manage entitlements and ensures compliance. For employees, it offers clarity and consistency around a sensitive type of leave.

Domestic Violence Leave and Payment is another important addition, enabling organisations to support employees from day one of absence. Beyond compliance, this reflects a broader focus on employee wellbeing and responsible employment practices.

There is also a refinement to PRSI exemption handling, improving how exemptions are classified and reported. This leads to more accurate reporting and helps ensure that employees’ contribution records correctly reflect their entitlements.

Finally, NAERSA pension reporting is now supported through an end-to-end submission process. This simplifies what has historically been a fragmented activity, bringing submission, monitoring, and error handling into one place. For payroll teams, this means better control and less manual effort when managing pension reporting.

Release 26C feels like a well-rounded update for Payroll. There is a clear focus on improving visibility, reducing manual effort, and supporting compliance across multiple regions.

While some features require configuration or planning to adopt, many are available immediately and deliver quick benefits. As always, it is worth reviewing these in the context of your current processes to identify where you can simplify, streamline, or reduce risk.

If you are looking at 26C more broadly, you may also find my latest write-up on the Core HR updates useful.

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Oracle HCM Cloud Core HR 26C

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It’s that time in the quarter again. Oracle has just shared what’s coming in Release 26C, and as you’d expect there is a clear emphasis on AI-driven enhancements, with plenty to take note of. More updates are likely to follow over the coming weeks, but for now it is worth taking a look at what has been announced so far.

The first feature worth calling out is one many HR teams have been waiting for. Ever since the original Person Management page was effectively retired back in 2020, there has not really been a single, equivalent experience to replace it. What Oracle has delivered here is not a direct like-for-like replacement, and it is clear that is not the intention. Instead, this move aligns with the Redwood design approach and rethinks how users interact with person data. The result is a more modern, task-focused experience that brings together key information and actions in a way that feels far more consistent with the rest of the HCM suite.

In practical terms, it changes how users work day to day. Rather than navigating across multiple pages or relying on memory to find the right option, a HR user can open a worker’s record and see relevant insights alongside the actions they are most likely to take, whether that is updating employment details, reviewing assignments, or initiating changes. This reduces the need for constant clicking and context switching, making everyday tasks quicker and more intuitive. For those who have used the system for a long time, there may still be a sense that the original “one stop shop” is missing. However, this is a clear step forward. It signals a shift away from a single static page towards a more guided and contextual experience that better reflects how people actually work today. It may not replicate everything that Person Management once offered, but it goes a long way towards closing a gap that organisations have felt for some time.

The next feature worth highlighting is AI-led, the Positions Management Assistant. This builds on the Positions Assistant introduced in 25D but takes things a step further by broadening what can be done through a single experience. Rather than focusing only on creating or viewing positions, it now brings editing into the same flow, giving HR teams and line managers a more complete way to manage positions. It uses natural language to understand what the user is trying to do and responds with relevant actions and guidance, which fits with the wider move towards more conversational, AI-driven ways of working.

In practice, this simplifies what can often be a fragmented process. A manager can ask to see vacant positions within their team and the assistant will surface them, suggest next steps and provide a direct route to raise a requisition. If a new position is needed, it can guide the user through creating one, reusing existing information where possible to save time and reduce errors. This makes the experience far more intuitive, particularly for occasional users, while also helping to improve consistency and accuracy. The overall result is a smoother, more guided approach that reduces manual effort, speeds up position management activities and helps organisations move more quickly when filling roles.

The next feature builds on something we saw introduced in 25D. The Onboarding Agent has now evolved into a workflow agent, marking another step in Oracle’s move towards more intelligent, guided employee experiences. The new Onboard Assistant takes the earlier self-service capability and turns it into a more interactive, conversational experience for new hires. Rather than working through static checklists or searching for information, users can ask questions in plain language and receive clear, relevant answers tailored to their role, location and organisational policies.

In practice, this makes the onboarding journey feel far more straightforward. A new starter can ask what tasks still need to be completed, check for anything overdue and follow a direct link to take action. The assistant can also surface useful resources, provide reminders and guide users through more complex steps when needed. For anyone unfamiliar with the system, this removes much of the uncertainty that can come with getting started. Overall, it creates a more supported and personalised experience that helps new hires get up to speed more quickly, reduces confusion and ensures that key onboarding activities are completed on time.

There are a couple of notable updates in Document Records, particularly around the use of AI. The first is the Document Records Administration Assistant, which is a clear example of how Oracle is embedding AI into everyday HR administration. In this case, the focus is on simplifying how users retrieve document records. Rather than working through multiple screens and manually applying filters, users can describe what they need in plain language. The assistant interprets the request and submits the appropriate mass download action, removing much of the effort from what has traditionally been quite a manual process.

In practice, this makes a real difference. A HR user could ask to download all passports created in the past month or retrieve payslips generated in the last week, and the assistant will identify the document type, apply the relevant criteria and trigger the correct request. For infrequent users in particular, this removes the need to understand the underlying navigation. The process becomes far quicker and far more straightforward. Overall, it provides a more intuitive way to retrieve document records, reducing admin time, improving accuracy and helping users get to the right outcome first time.

The second update focuses on using AI to extract data from attachments and prefill document record attributes. It is a relatively simple enhancement, but one that addresses a very common pain point in HR administration. When creating document records, users often have to rekey information that already exists in the uploaded file. This feature reduces that effort by using AI to identify and extract key details from the attachment and populate the relevant fields automatically. It aligns closely with the Redwood approach of reducing manual input and making everyday tasks quicker and easier to complete.

In practice, when a user uploads something like a passport or certification, the system can pick up details such as the document number, issuing country and validity dates, and populate these directly into the record. The user can then review and amend the information before saving, rather than starting from scratch. This not only saves time but also reduces the likelihood of manual errors. Over time, capabilities like this can have a noticeable impact on data quality, while also making the process far more efficient for both HR teams and employees managing their own records.

There are a number of upcoming changes around Redwood pages, and the timelines are now starting to feel very close. From 26C, the Redwood person pages will be enabled by default, covering key areas such as Personal Details, Contact Information, Identification Details, Family and Emergency Contacts, Additional Person Information and Person Identifiers for External Applications. For many organisations, this is the point where the move to Redwood becomes unavoidable for core HR data.

This continues in 26D, with areas such as Jobs, Locations, Departments, Enterprise HCM Information, Grade Ladders and all Employment pages, including actions like Add Assignment and Employment Information, also switching to Redwood by default. The same pattern carries into 27A, where processes such as Resign from Employment, Mass Assignment Change and Terminate Employment will be automatically enabled.

If you have not already moved to these Redwood pages, now is the time to start planning. Leaving it until they are switched on by default means losing control over when the change happens and removes the option to step back if needed. Moving earlier gives you the opportunity to test properly, prepare your users and resolve any issues before the transition becomes mandatory.

As mentioned earlier, Oracle is expected to release additional Core HR updates later this month. If anything stands out as particularly impactful, I will share a further update with a more detailed view. In the meantime, keep an eye out for the upcoming posts in this series where we will explore other areas of Fusion as part of Release 26C. If you are reviewing your own roadmap or considering how these changes might affect your organisation, now is a good time to start the conversation.

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Agentic Applications for HCM Cloud

~ K8 Mead ~ 1 Comment

At the AI World London HCM Partner Summit, Oracle unveiled 22 new Agentic Applications across the Fusion suite, including eight designed specifically for HCM Cloud. One of the standout additions is the Workforce Operations Command Centre, which brings scheduling, time, and absence management into one coordinated hub. It highlights real‑time risks, helps managers make confident coverage decisions, and streamlines day‑to‑day operations. During the demo, we saw a live priority queue flagging shift conflicts and timecard issues by severity, with simple one‑click options to approve, reassign, or review — making it far easier to stay ahead of workforce challenges.

Oracle has also introduced a series of new workspaces designed to streamline everyday manager and employee tasks. The Hiring Workspace for Store Managers brings candidate details, interview scheduling, and urgent hiring requests together to support faster decisions, while the Manager Concierge Workspace unifies compensation, performance, talent, and absence insights with simple, policy‑backed actions. The Team Learning Workspace helps managers stay ahead of compliance risks and focus on development priorities, and the Career Advancement Command Centre connects employees to suitable roles, required skills, and training. Alongside this, the My Help Workspace offers a clear view of open requests and relevant knowledge articles, and Contracts Intelligent Counsel, also known as Agentic Compliance, provides continuous, autonomous monitoring of contract terms and policy changes to reduce compliance overhead.

Oracle also unveiled Oracle Manager Edge, a new personal AI coach designed to give managers practical, data‑driven guidance directly within Touchpoints, with suggested actions seamlessly linked to Oracle Team Touchpoints. Although it isn’t an Agentic Application, it will be available through the AI Agent Studio once released, offering organisations an accessible way to bring personalised, context‑aware coaching into everyday management without additional complexity.

Oracle also confirmed six dedicated Payroll Agents designed to cut manual effort and improve payroll accuracy. The Payslip Analyst, already live in 25D, helps employees resolve payslip queries and has been shown to reduce inquiry costs by up to 70 per cent with a rapid ROI. The Compliance Update Agent (26C) converts legislative changes into proactive configuration updates, removing up to 90 per cent of the manual workload. The Court Order Processing Assistant (26A) fully automates garnishment intake, while the Tax Calculation Statement Agent (26C), currently specific to the US and California, explains the detailed tax logic behind each payroll run. The W‑4 Compliance Agent (26B) automates US tax‑form completion, and the Pay Run Agent (26C) provides real‑time summaries and flags exceptions, reducing manual review efforts by as much as 70 per cent. For UK and global payroll teams, the Payslip Analyst and Compliance Update Agent are the most relevant today, with the remaining agents focused on US‑specific requirements.

As Oracle continues to expand its portfolio of Agentic and AI‑driven capabilities, the direction is clear: more guidance, more automation, and less friction across everyday HR and payroll operations. For organisations already using Fusion, these new applications offer a practical way to improve decision‑making, strengthen compliance, and deliver a smoother experience for managers and employees alike. And with more innovation on the horizon, now is an ideal time to explore how these tools can support your roadmap and help your teams work smarter, not harder.

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Oracle HCM Cloud Learn 26B

~ K8 Mead ~ Leave a comment

Release 26B is now here and we’re edging closer to the final Redwood deadline for Learn in 26D. This final deadline incorporates the remainder of the Learning Admin tasks, but the key one is Assignment Management. This is going to be a key focus for Oracle in the next couple of releases.

The first feature is one that came from the Customer Idea Lab, which means a customer logged it and other customers voted for it. The enhanced Instructor Activity Center brings all instructor‑led event management into a single, intuitive calendar‑based workspace. Instructors can view and manage sessions in multiple calendar views, access event details and materials directly from the calendar, create or join sessions quickly, and easily manage learners, attendance and enrolments. By centralising scheduling, session management and learner engagement, the experience reduces administration and allows instructors to focus more on delivering high‑quality learning.

The enhanced Learning Creation Assistant now allows learning content to be created directly from email, making it faster and easier for instructors and learning teams to contribute new content. By simply sending instructions in the email body or as an attachment, users can generate a range of learning formats and receive a confirmation with a direct link to the draft item. This streamlined approach reduces administrative effort, removes reliance on complex workflows, and helps organisations accelerate knowledge sharing across the business.

The updated Redwood Record and Request Learning experience makes it easier to record, request and track learning activity across the organisation, whether it sits inside or outside the learning catalogue. Teams can record completions, request external learning, and manage assignments more flexibly, including setting initial statuses and creating profiles with past start dates. Together, these enhancements provide a more complete and accurate view of workforce learning, supporting compliance, personalised development and better‑informed decision‑making.

The enhanced support for online learning events makes it easier to deliver engaging, well‑managed virtual classrooms, including richer integration with Microsoft Teams. Instructors can use automated meeting creation, breakout rooms, attendance tracking and completion rules, while learners benefit from seamless access via notifications and calendar invites. Together, these improvements reduce manual effort for learning teams and create a smoother, more connected experience for both instructors and participants.

The final enhancements I want to highlight focus on third‑party learning content, specifically integrations with OpenSesame and Udemy. The OpenSesame integration makes it simple to bring high‑quality, third‑party content into Oracle Learning as self‑paced courses, with automated refreshes keeping the catalogue up to date and learner progress tracked seamlessly in a single transcript. Alongside this, the Udemy Business integration allows curated learning paths to be automatically imported and managed within Oracle Learning, giving learning teams clear visibility through xAPI tracking while providing learners with uninterrupted access to Udemy content. Together, these integrations reduce administration, improve catalogue visibility and broaden access to valuable learning resources real‑time tracking of learning outcomes.

Oracle often introduces a few additional features as the month progresses, so it’s always worth keeping an eye out. If anything particularly exciting appears, I’ll share a follow‑up blog to make sure you’re fully up to date. In the meantime, you can read my latest write‑up on the new Core HR features in Release 26B here.

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