Ken MacMahon

by Ken MacMahon

Global Lead for Enterprise Applications, Version1

The concept of “agentic applications” has moved beyond buzzword status, yet we find ourselves on a unique middle ground: the concept is on the horizon, but for most organisations, it hasn’t fully arrived.  

In the Oracle ecosystem, the landscape is currently defined by a vast array of AI agents that are either “in the platform” or “in the pipeline”. However, a critical revelation from our experience enabling these for our customers is this: utility is not a numbers game. The success of your Oracle AI journey depends not on the volume of agents you deploy, but on the precision of the value they provide to your specific business requirements.  

So, how can organisations ensure their Oracle AI agents deliver meaningful impact and set themselves up for sustained success as the technology matures? 

Here are some of the useful tips and guidance we offer to our customers to help them set the course on their Oracle AI Agent journey.  

Redefining the human-agent interface

For an AI agent to move from a “feature” to a “teammate,” it must meet the human worker where, and when, they are required.

  • Integration as strategy

    As an example, we see that, with a dedicated Microsoft Teams Channel for an AI Agent we can bridge the gap between back-office logic and front-line execution. In this scenario, Oracle is delivering on this “meet them where they are” philosophy through their

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  • Seamlessness

    The goal is to embed intelligence within the flow of work rather than forcing users to seek it out. A great example of this in action is using Guided Journeys to trigger agents exactly when a user hits a complex business process.

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The pillars of a mature agentic strategy 

True “agentic” status requires moving past the experimental phase and into a framework of transparency and structural integrity.  

Important requirements which commonly arise are; 

  • Pricing clarity: Application vendors must be transparent regarding what is “Out-of-the-Box” (OOTB) and what constitutes a custom AI Agent build. With Oracle, for those looking to understand the investment, the Fusion AI Custom Agents Pricing FAQ provides this necessary breakdown and clarity of the costs (if any) involved 
  • Operational trust: Agent implementation must rely on a framework that automatically applies the security configurations and access controls we have become accustomed to with Oracle Fusion Cloud Applications. This Security Setup Guide ensures that compliance with enterprise standards is inherent, not an afterthought 
  • System connectivity: Agents, like all Enterprise Applications we implement or support, do not exist in a vacuum; Enterprise-level agents need secure connectivity with other systems via API, MCP, or A2A protocols, alongside an ability to select various LLMs and collaborate with third-party agents for end-to-end business process orchestration 

The necessity of evaluation 

Deployment is only the beginning. To realise the promise of agentic applications, you must actively monitor and evaluate your AI agents.  

  • Verification: Utilise built-in tools to verify AI-driven flows before they reach production. Take a look at Monitor and Evaluate AI Agents to see how, with Oracle in-built AI management capabilities, and scheduled jobs, we make our agent deployments reliable, repeatable, and explainable 
  • Value measurement: Critically, keeping eyes on the prize of “value over volume” the constant assessment of the “measured value of agents” is required to ensure the technology is evolving alongside your business. Check out the View the Measured Value of Agents for more on how to track this impact. These include: 
  • Tracking key performance indicators (KPIs) such as process efficiency improvements, error reduction rates, and user satisfaction scores 
  • Regular reviews should be conducted to ensure that agents are not just processing a high number of tasks, but are delivering meaningful, measurable outcomes that align with business goals 

The path forward  

The transition to truly agentic applications is not marked by a single go-live date, but by the moment you can answer for your agents’ security, value, and integration with total confidence.  

Our experience with this tells us that once these questions are answered, then your course is well set for the horizon and agentic applications.  

Expert guidance for agentic applications 

Our depth of experience means we’re able to partner with organisations at every stage of their AI agent journey — whether it’s scenario testing, measuring tangible value, or ongoing optimisation, we’re committed to ensuring your technology evolves alongside your business goals.  

Our Oracle and AI specialists appreciate the intricacies of securely and effectively integrating agentic applications within your organisation, delivering meaningful outcomes and measurable improvements — not just increased activity.  

If you’re seeking tailored guidance, sector-specific examples, or further insight into unlocking the measured value of AI agents, we welcome you to reach out. We’re ready to partner with your organisation as you set your own course.