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What We Took Away from DynamicsCon 2026
Last week, I made the trip to Las Vegas for DynamicsCon 2026—one of the largest annual gatherings in the Microsoft Dynamics 365, Business Central, and Power Platform community. Held at the Fontainebleau Las Vegas May 12–15, the event brought together thousands of business and IT professionals, Microsoft MVPs, and industry experts for hundreds of sessions covering everything from ERP and AI to automation, analytics, and more.
Sessions ran deep on what Dynamics 365 and its surrounding tools can actually do today, and where they’re heading. Here are the key themes that stuck with me.
1. The AI Capabilities Inside Dynamics 365 Are Expanding Fast
Not long ago, the conversation in most organizations was “should we explore AI?” That question has largely been answered. What we heard at DynamicsCon reflects what we’re seeing with our own clients—the conversation has now shifted to “which tools, how fast, and is our environment ready?”
AI agents were a major focus across sessions. These tools built into Dynamics 365 can monitor accounts receivable, flag exceptions, automate workflows, and surface insights that previously required someone to manually pull data from multiple places. And more is coming. The ability to build custom agents directly within Dynamics is on the horizon, giving organizations even more flexibility to automate the specific, repetitive work that slows their teams down.
Microsoft has mapped out agent capabilities spanning sales, customer service, finance, supply chain, operations, and project management. A finance team can have an agent continuously scanning invoices and flagging aging risk. A supply chain team can have one detecting purchase order delays and drafting responses. Many of these are already available inside the Dynamics ecosystem today, with more rolling out as Microsoft continues to expand the platform.
One thing worth noting for business leaders: building and configuring agents isn’t purely a developer exercise anymore. Microsoft has designed these tools so that people without a technical background can set up and manage agents for their specific workflows, which meaningfully lowers the barrier to getting started.
The consistent message underneath all of it was that the technology is only as useful as the foundation it sits on. Agents need clean data, well-defined permissions, and a governance structure to operate reliably. Microsoft has introduced centralized controls for managing agents across an organization via Microsoft Agent 365, covering access, security, and visibility into what agents are doing and why.
Right now, this is where we’re spending a lot of time with clients to make sure the right conditions are in place for those tools to deliver.
2. Data Quality Is a Culture Problem, Not Just a Technology Problem
A consistent theme this year was the challenge of data. Not a lack of it (most organizations have plenty), but data that isn’t reliable, consistently captured, or clearly owned by anyone in particular.
What came through is that this is as much a people and process challenge as it is a technical one. Agreeing on definitions across departments, maintaining accuracy over time, and making sure the right information gets captured in the first place… none of it happens automatically, and better tools don’t fix it on their own. It requires deliberate ownership at every org level.
This matters more than ever as AI becomes part of how we operate. AI works with the data it’s given. If that data is incomplete, inconsistent, or siloed, the outputs won’t be trustworthy regardless of how sophisticated the technology is.
In our experience working with clients on data strategy and governance, the gap between where organizations think their data is and where it actually is tends to surface at the worst possible moment. Getting ahead of it is almost always easier than cleaning it up mid-project!
3. Technology Projects Live or Die By People, Not Just Implementation
Something that ran through several conversations was how much attention goes to the technical side of an ERP or AI project (i.e. configuration, migration, go-live) and how rarely that’s what determines whether the investment actually pays off. What determines long-term value is whether people use the system, trust it, and keep using it the way it was intended.
Getting people to genuinely embrace new tools, especially AI-powered ones, requires more than training at go-live. It requires clear communication about what’s changing and why, and leadership that models new ways of working. The technology piece is often the most straightforward part. The people piece is where projects actually succeed or fall short.
At Convverge, we build that thinking into every engagement we run, structuring delivery around how teams actually work and not just how systems are configured. Learn more about our approach.
Navigating What’s Next
Events like DynamicsCon are a useful reminder that behind every technology conversation, there are real organizations working through real challenges. They’re figuring out how to get more from the systems they’ve invested in, how to bring their teams along through change, and how to build a foundation that holds up as things continue to evolve.
The common thread across all of it? Technology is rarely the limiting factor.
If any of these themes connect to where your organization is headed—whether that’s an AI readiness conversation, a data foundation question, or getting more from your existing Microsoft environment—let’s connect!
