Tag: AI Agent

Why Embedded AI Is the Real Differentiator in Enterprise Automation

~ K8 Mead ~ Leave a comment

AI is everywhere at the moment, there’s really no getting away from it, but not all AI is created equal. Plenty of platforms promise co‑pilots, assistants and automation, yet very few can actually take action inside core business systems. That’s why Oracle’s approach with AI Agent Studio for Fusion Applications really stands out.

Most enterprise AI tools today act as co‑pilots: brilliant for drafting content or answering questions, but far less capable when it comes to genuine process automation. Oracle has taken a different approach. Its AI agents are embedded directly within Fusion Applications, giving them the power to:

  • Understand business data in real time
  • Make decisions with full context
  • Write back into transactional systems securely
  • Automate tasks end‑to‑end without relying on extra tools

This isn’t AI “bolted on”, it’s AI woven right into the core of the application. And yes, I realise I’m starting to sound like an Oracle salesperson, but the difference between Oracle and other providers is hard to ignore. The image below highlights just how significant that gap is, comparing what Oracle delivers with five other major service providers.

Across the market, vendors are running into the same familiar obstacles:

  1. Added AI costs. Whether it’s Copilot capacity, ServiceNow’s AI tiers or Salesforce Flex Credits, AI is frequently positioned as an optional extra rather than something included as standard.
  2. Co‑pilots, not agents. Microsoft, Salesforce, Workday and others are excellent at generating content and offering recommendations, but they seldom deliver true autonomous action within transactional systems.
  3. Fragmented platforms. Many providers depend on several data models, clouds and integration layers. Their AI often relies on separate analytics environments or copied data, which strips away workflow context and makes automation far more difficult.

You may have already come across Oracle’s One Platform, and this is where Oracle really pulls ahead of the pack. Oracle keeps things refreshingly straightforward: Fusion Applications, data and AI all sit within a single, unified ecosystem. That brings three key advantages:

  • Embedded intelligence — agents work directly inside the applications employees use every day.
  • A unified security and data model — consistent governance and safer, more reliable automation.
  • True write‑back — agents can update transactions natively, without middleware or separate AI clouds getting in the way.

So you might be wondering, “That all sounds impressive, but what does it actually mean for me?” At its core, agentic AI is about cutting down manual effort, improving accuracy and boosting operational efficiency. Oracle’s embedded approach ensures that automation is reliable, properly governed and able to scale as your business does. Crucially, it isn’t stitched together from multiple products. With Oracle, AI is built in, a fundamental part of the system that runs your business, not an optional extra layered on top. It marks a shift from AI that simply talks, to AI that genuinely delivers.

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

METRO – The Jewel in the Crown in Oracle AI Agent Studio

~ K8 Mead ~ Leave a comment

Have you heard about METRO? METRO is the embedded measurement and observability framework within Oracle AI Agent Studio. It stands for:

Oracle have introduced METRO as part of release 25D. It is a brand-new set of monitoring and evaluation tools built right into Oracle AI Agent Studio. Think of METRO as your control centre for AI agents in production. It gives you everything you need to keep an eye on accuracy, compliance, performance, costs, latency and even token usage. In short, it helps you make sure your agents are doing exactly what you expect, without any surprises.

The world of AI agents isn’t straightforward, responses can vary, workflows aren’t always predictable, and traditional checks don’t always work. That’s where METRO steps in. It’s designed for this new reality, offering smart ways to check semantic correctness, track detailed performance metrics and keep guardrails in place against risks like prompt injection. Whether you’re running complex multi-agent setups or more structured workflows, METRO makes it easier to stay on top of quality and reliability.

One of the best parts? The dashboard. It gives you a clear view of key stats like latency, error rates, token counts and correctness scores. And if you want to dig deeper, you can trace every single step an agent took, from LLM calls to tools used and outputs generated. This level of detail means you can troubleshoot quickly and optimise performance without the guesswork.

METRO also helps with testing, using the industry-standard LLM-as-a-Judge approach to score responses and provide feedback you can act on. Combine that with new features in 25D, like deterministic workflow agents and support for models such as GPT‑5 mini, and you’ve got flexibility to build agents for any scenario.

METRO isn’t just another feature, it’s a game-changer for anyone looking to manage AI agents with confidence. By combining deep insights, flexible evaluation tools and full traceability, it gives you everything you need to keep your AI ecosystem running smoothly. And with the added power of new models and workflow options in 25D, you’ve got all the tools to innovate faster and smarter. The future of AI governance starts here and METRO makes it simple!

Oracle AI World – Day 2 Part 2

~ K8 Mead ~ Leave a comment

Welcome to second blog on Day 2 from Oracle AI World. My earlier post on the HCM and EPM sessions from Day 2 can be found here. This post focuses on Steve Miranda’s Key Note, which I was fortunate enough to sit in the front row for.

As a Functional Consultant, Steve Miranda’s keynote was a must see. For those of you who don’t know, Steve is the Executive VP of Applications Development.

This slide was a good summary of the overall content of the Keynote. Fusion Apps are designed to cover all functionality that a customer needs, but continues to bring continuous innovation in areas that customers want and most importantly,  Oracle are completely focused on solutions that will enable customers to succeed in their aims. There was one statement that really resonated, “we are hyperfocused on growth”. This shows the commitment that Oracle are making to developing Fusion Apps but also to their customers.

Oracle don’t only provide HCM, ERP, SCM and EPM solutions, which is what a lot of customers think of, but there are numerous industry specific solutions that are available as well. As mentioned in previous sessions, Oracle Apps have the benefits on having AI available throughout the technology stack. It has embedded AI in the actual applications, but also Oracle incorporates AI into their databases and infrastructure,  all of which Fusion uses. The addition of the flexibility that is now available in selecting the AI Large Language Models (LLMs) that customers can use, gives Oracle customers a significant advantage over users of non-Oracle ERP solutions. For other solutions, AI has generally been an afterthought, and there certainly isn’t the option to pick the LLM that best meets the need of the organisation,  usually it is decided for you.

Whilst this slide was also shown in the Partner Summit, it reiterates that Oracle have AI solutions across all aspects of Fusion, but not just within the functional space, there’s additional AI functionality embedded into the development tools that Oracle offers too. The fact that customers can use the same functionality that the Oracle Dev team uses, for example VBS and AI Agent Studio, shows that Oracle are supporting their customers to extend their applications with the best tools possible.

Its remarkable to consider how much progress Oracle have made in their AI journey. I did know it had progressed rapidly, but this time line really brought it all home. To think we’ve moved from the introduction of the first AI Assistant in 2023, to the AI Agent Studio and Marketplace in 2 years is phenomenal. Whilst I know Oracle won’t be resting on their laurels, its hard to think where they can go to next. Having said that, Oracle have reassured us that there will always be a ‘Human in the Loop’.

This is an eye watering number and I think it should be appreciated. At Oracle CloudWorld in London in March, Steve announced there would be 100 AI Agents developed in 2025, 7 months later and there are over 600! It should be caveated that 400 are within Fusion and the remaining 200 are across the Industry specific solutions. On top of this, there are a significant number of AI Agents available on the AI Agent Marketplace that was announced this week. As more Partners have their AI Agents vetted by Oracle, this number will continue to grow. This means the development of AI Agents will increase two fold, by Oracle’s in house Development Team but also by third parties who can share their own solutions on the Marketplace. This gives customers the greatest flexibility in obtaining the latest technology in AI Agents without the need to have internal development resource.

This screenshot shows the flexibility of LLMs that Oracle now allow users to utilise in their AI Agents. As the image shows, when creating or modifying an AI Agent, on the Credentials tab,  you can select the appropriate LLM and enter the relevant key. It should be noted that some options can only be used with the premium options and therefore aren’t free.

Steve also reiterated that Oracle will never share customer’s data via AI tools as it always remains within customer’s systems, but equally as importantly Oracle will never use a customer’s data to train their LLMs. This is a frequent question that customers often ask, so it was really good to have this reiterated.

That wraps up my summary of Day 2 at Oracle AI World in Las Vegas 2025. Day 3 was a short one, but was one of my favourites. Please keep a look out for my blog on this which will be coming imminently.

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

Oracle HCM Cloud Recruit 25D

~ K8 Mead ~ Leave a comment

Great news – 25D has landed! Unlike most modules, Recruit has a two-step journey to Redwood, and 26B is the big one to focus on to make sure users stay compliant and fully switched over for core Recruit tasks. If you’ve already got 25C, you should be handling requisitions, job applications and candidates in Redwood by now. The next wave is all about offers, interviews, campaigns, events and agency hiring. While 25C gave us a few Redwood features for offers, 25D really ramps things up to help you stay on track for the 26B deadline, but even more excitingly, it’s full of AI features to make your lives easier! So let’s dive in and explore what’s new….

This first feature isn’t actually a Redwood specific one, but it’s a great one that I’m very excited about! Given Oracle’s push to embed AI into Fusion, wherever it is relevant, this feature is a great use case for it! The new AI Agent for Candidate Experience introduces an AI Chatbot called Career Coach directly onto the Career Site. It will be much easier for candidates to search for a new role with the Job Recommendations Agent and Job Fit Agent, as they get tailored suggestions based on their experience and skills. The candidate just need to upload their CV, answer a couple of questions and then the Job Recommendations Agent will highlight roles that match their profile, while the Job Fit Agent helps them figure out if a particular job is the right fit and answers any questions. Both agents can even use uploaded documents to give more personalised advice, making the whole process smoother and more relevant.

There’s another AI feature I’m excited about. This was shown at CloudWorld London and customers have been asking me about it ever since! The Job Applicant Screening Agent Template lets you create a handy agent team in AI Agent Studio, which Recruiters can get to straight from the Job Application page. It’s a super helpful “ask me anything” assistant that can dig up all sorts of info, including feedback scores, background checks, recent updates, and what’s happened over the past few weeks. You can ask things like “What’s going on with this application?” or “Give me the full lowdown,” and it’ll even suggest things like interview feedback, timelines, assessments, and offer details. It’s a real time-saver, especially for people who don’t use the system much and just want quick answers without the faff.

If you’re anything like me and find creating job offers a bit laborious, you’ll definitely want to check out the new Job Offer Creation Agent in AI Agent Studio. It’s like having a helpful friend on hand, it’s ready to answer all your questions, whether they’re general or specific to certain fields. You can customise it with your own documents and prompts, so it fits your organisation’s policies perfectly. Wondering if you can tweak the start date after sending an offer? Not sure about the typical job grade for a Chief of Staff? Curious about salary differences between cities, or what to do if a candidate already has another offer? This agent’s got your back. It helps you breeze through the offer process smoothly, fills in the right info, and cuts down on errors, so you can focus on getting the right people on board, faster.

The final Recruit AI Agent I want to highlight is one I particularly love, the new Job Requisition Creation Agent to help speed up the process of creating Job Reqs. Think of it as your go-to FAQ buddy, it answers all sorts of questions, whether you’re wondering about salary grades, attachments, or who’s recruiting in a specific location. It works entirely off the documents you upload and the prompts you set, so it’s easy to tailor to your company’s policies and ways of working. Whether you’re asking if you can change job grades later or need to know the salary range for consultants in Dallas, this assistant helps you get it right first time, no interruptions, fewer downstream issues, and a smoother, more efficient experience all round.

In 25C, the Candidate Sourcing tile was added. In 25D, the Campaigns and Events tabs are no longer under Hiring, but moved to Candidate Sourcing. When you head into the Candidate Sourcing tab, you’ll find everything you need to start building your talent pipeline – from Candidate Search and Pools to Messages, Campaigns, and Events. Over in the Hiring tile, you’ve got quick access to the Activity Centre, Messages, Requisitions, Offers, and you’ll spot Candidate Search and Pools again here too, so you’re never far from the tools that help you keep hiring on track.

Oracle often sneak in new features throughout the month, so it’s worth keeping an eye out. If anything truly game-changing drops, I’ll write up another blog post to keep you posted and make sure you’re not missing out. In the meantime, feel free to check out my latest write-up on the new Core HR features in Release 25D, you can find it here.

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