At Definity’s fireside chat during the AI Agent & Copilot Summit, Mauricio Duran, President at Definity, shared a clear perspective on where AI adoption is heading next: away from flashy experiments and toward measurable business value. His message was simple. The companies that get the most from AI will not be the ones chasing novelty. They will be the ones to return to fundamentals, ROI, workflow improvement, trust, and real outcomes.

AI does not need to be flashy to be valuable

One of the strongest points from the session was that AI is most effective when it improves the everyday processes that happen constantly across the business.

Early on, it was easy for organizations to focus on what was new and visible. But over time, it became clear that real value often shows up in a different way: as a business process that now works faster, better, and more efficiently than before. In many successful use cases, AI is not even the main thing people notice. They notice that the workflow is better.

The best use cases start with the right business problem

Mauricio emphasized that leaders need to be careful about which business problems they choose to solve with AI. The strongest use cases are those that directly address measurable pain points and clear KPIs.

During the conversation, he pointed to examples where AI had a visible impact on performance. In one case, a process at a major pharmaceutical company that once required about 20 people working together over six weeks was reduced to just days. In another, invoice processing across multiple languages and systems, such as Dynamics or SAP, was reduced from hours to minutes through AI-driven automation. Those are the kinds of changes that stand out because the outcome is unmistakable.

Start with outcomes, not features

That point led to one of the most practical lessons from the fireside chat: businesses should start with outcomes, not features.

It is easy to get distracted by what is technically impressive. But most organizations already know where their friction lives. They know where processes are slow, where manual effort piles up, and where teams lose time. Those are the places worth addressing first.

As Mauricio put it, companies should return to the basics and invest in the pain points and processes that are not optimized. It does not have to be flashy. It has to work.

The next step is orchestration

Mauricio also spoke about where Definity sees AI going next.

Today, many organizations are seeing success with focused, narrow automations, which he described as workflows that do one thing and do it very well. That is an important step forward. But the bigger opportunity is still ahead.

The next phase is about teams of agents working together to orchestrate tasks across departments and handle broader business functions. That shift could move AI from isolated workflow improvements to something much more transformational across the enterprise.

Trust, governance, and security have to come first

Another key theme in the discussion was confidence.

AI adoption cannot be treated as a mere technology rollout. Mauricio stressed that organizations need to consider legal frameworks, governance, security, and best practices from the start. Businesses need to be organized. Security has to be the first priority. And trust has to be built into the process, especially in workflows where accuracy and compliance matter.

That is especially important in areas like contract analysis, where AI cannot simply provide a likely answer. It has to be grounded in reality. If the system identifies a clause or recommends an action, that output must be validated and tied to the actual source, not generated as a hallucination.

Why platform confidence matters

Mauricio also highlighted the importance of working within a trusted ecosystem.

He noted that when clients hear Microsoft is part of the equation, they feel more confident that the solution will be secure, scalable, and enterprise-ready. For Definity, that long-standing Microsoft partnership helps create the trust organizations need as they move from experimentation into broader AI adoption.

AI readiness does not always look the same

One of the more interesting insights from the session was that there is no single version of AI readiness.

Some companies are well-positioned because they have already centralized and cleaned their data. Others are dealing with information that is scattered, unstructured, or spread across different systems and languages. Mauricio pointed out that both scenarios offer significant opportunities for AI. Clean data can accelerate adoption, but messy data can also become a high-value use case when AI is used to structure, extract, and make sense of it.

That idea extends even further when data from different systems, from databases to SharePoint to third-party sources, is brought together in ways that let leaders ask better questions about the business. According to the conversation, AI is making it possible to analyze financial performance, identify patterns, and surface insights that would have been much harder to uncover not long ago.

A more grounded AI conversation

What came through most clearly in Definity’s fireside chat was that the AI conversation is becoming more grounded.

Leaders are moving away from the hype cycle and toward practical application. They want to know where AI can improve real work, reduce friction, accelerate processes, and create trust. They want outcomes they can measure, not just capabilities they can demo.

That is a healthy shift.

Because the real value of AI is not that it makes an organization look innovative. It is that it helps the organization operate better.

Final takeaway

Mauricio Duran’s message was ultimately a practical one: focus on the fundamentals. Start with the business problem. Tie the work to a KPI. Build with governance and security from the beginning. And look beyond isolated automations toward orchestrated value across the business.

The organizations that take that approach will not just adopt AI more confidently. They will be far more likely to turn it into something that creates real business results.