Your Role is Changing and You Need to Act Fast

For the last two years, we have watched a wave of AI investment crash over the Microsoft Dynamics industry. It feels like every week there is a new announcement or a new feature powered by Copilot.

But here is the thing.

We have reached a tipping point. It is no longer enough to simply "know" the software. The aggressive product roadmap from Microsoft isn't just adding features; it is fundamentally reshaping what we do every day.

If you are a consultant, developer, or solution architect, you need to wake up to this reality. The way we deliver value is changing, and if you don't adapt, you risk being left behind.

The Shift in Technical Execution

I know how it goes. Most of us are buried in the day-to-day grind. We are focused on the current implementation, managing client expectations, and trying to keep up with the relentless cycle of Microsoft updates.

But if you have your head down too low, you might be missing the forest for the trees.

Have you been tracking the shift toward the Dynamics 365 F&O MCP server? Have you looked into the movement toward vibe configuration? This is the ability to configure Finance and Supply Chain Management via agents directly from the code editor.

This is not just cool tech. It represents a structural shift. The way we are working today in the software during our implementation belongs in the past.

Let me be blunt. The FO Gold Environment you are used to maintaining is no longer a valid concept. Configurations are now stored in a GIT controlled manner. If you do not know what GIT is, you need to learn it.

The industry is moving toward an AI-centric delivery methodology. We are looking at a future where we can significantly reduce implementation costs while actually increasing the quality of our output. This isn't just a buzzword. It is the new standard for how technical execution happens.

The Rise of the Enterprise Mega-Project

While the tech is getting smarter, the projects are getting bigger. Much bigger.

Dynamics 365 F&O is now consistently going head-to-head with giants like SAP and Oracle at the highest enterprise levels. Leveraging AI technology will substantially reduce the time we have to spend during an implementation, but now our projects are a lot larger because of the scope increase.

We are talking about multiple Dynamics applications integrated in the same ecosystem, multiple countries rollout, more teams, and more team members.

This shift brings new challenges. Because we are able to execute work faster with Agents, we humans need to be responsible for managing the work and become better leaders and work organizers.

This is where DevOps becomes the backbone of our success. Because these projects have grown so massive, we need stronger leadership and organizational skills within our DevOps processes. It is no longer just about deploying code. It is about managing a complex, multi-layered ecosystem where human expertise and automated agents intersect.

You are going to be working longer in DevOps than in FO. Mark my words.

From Functionality Expert to Context Architect

This is the part that hits closest to home for me.

For years, our value as consultants was defined by how much we knew. Could you memorize every parameter in the Accounts Payable module? Did you know the quirky workaround for that specific inventory issue?

If you were the "Functionality Expert," you were the king.

But that is changing. The most significant change for us is the transition to becoming the "best pal" of AI agents. To succeed now, you must move away from just knowing how a feature works. You need to focus on how to provide the AI with the best possible context.

I call this becoming a Context Architect. Your seniority is no longer defined by your memory bank of features. It is defined by your ability to guide the machine.

But let me make this practical. A Context Architect is not just someone who writes better prompts. A Context Architect controls the flow of information.

You need to know what to give the AI, when to give it, and in what sequence. If you dump everything at once, you get noise. If you provide context in layers; e.g. business goal first, constraints second, technical details third—you get precision.

This is why prompting alone is not enough. The real skill is interaction design with the machine. How do you ask follow-up questions? How do you challenge an answer? How do you force the AI to justify its assumptions before you trust the output?

And yes, you also need to develop a "hallucination radar." Experienced consultants can smell when an answer sounds confident but is wrong. The AI might generate fluent nonsense. Your job is to catch it early, pressure-test it, and redirect it with better context.

That is the new seniority model. Not who remembers the most parameters in Finance and Operations, but who can orchestrate human intent and machine output into reliable enterprise results.

Asking the Right Questions and Leading the Process

This is where we still will keep our jobs... probably.

For two years I have been trying to solve many, many business scenarios that are based on creativity and design excellence, and AI has never produced a good result.

Why? Well, AI is not intelligent. AI just predicts the next word. Do not forget about that.

This is where we as consultants and architects can still shine. When we ask the right questions at the right time, and focus on what is important during specific project phases, we will be indispensable for the implementation project. The AI will then help us deliver faster. But AI won't help us deliver the "what".

You need the experience to probe clients for the specific nuances that allow an AI agent to generate an accurate result. The AI can write the code or configure the workflow, but it cannot read the client's mind. That is your job. You provide the intent. You provide the constraints. You provide the context.

This requires us to restructure our process. Our meeting structures and discovery phases must change. We aren't just gathering requirements for a manual build anymore; we are gathering context for an augmented build. You don't need to spend three weeks documenting requirements in a Word doc. You need a more agile approach that feeds the AI the right prompts to get a prototype up and running in days.

It doesn't matter if you use Waterfall, Agile, or some hybrid methodology. The new delivery method is AI-agnostic. It requires a professional who can lead a team through a process where the "heavy lifting" is automated, but the "direction" is strictly human-led.

The Bottom Line

We are part of a giant, fast-moving wheel. My advice is simple.

Start working with the future today.

Don't wait for your company to force you into a training session. Don't wait for a client to ask you about it. Leverage your industry experience and your consulting soft skills to bridge the gap between business needs and AI processes.

The goal is no longer just to complete a task. It is to deliver the best possible enterprise result in the shortest amount of time. And you do that through superior leadership and the art of asking the right question.