The New Expert Isn’t the One With the Answers

For years, expertise was measured by how much you knew.

The best ERP consultants could recite configuration settings from memory. They knew which parameters to enable, where to find the obscure options, and how one setting quietly broke another three modules over. Experience meant accumulating answers.

AI changes that.

Today, the answer is often seconds away. Ask an AI how to configure inventory dimensions, build a procurement workflow, design a chart of accounts, or set up a security role, and you’ll get a reasonable starting point. Often it will just generate the configuration itself.

So does that make years of ERP experience less valuable?

Quite the opposite.

The Skill Has Shifted

The value was never really in typing values into a form. It’s in knowing what the business actually needs, translating that into the right request, catching it when AI makes the wrong assumption, and steering it back to the correct solution.

Think of AI as the world’s fastest configuration specialist. Tell it exactly what you want, and it will produce an impressive amount of work in very little time. Give it a vague or incomplete request, or one built on a misread of the business, and it will build the wrong thing just as fast. Faster, in fact, than any consultant ever could.

The consultant’s role hasn’t disappeared. It has moved up a level.

Instead of asking “How do I configure this?” we’re asking “What should this business process look like?”

Instead of worrying which checkbox to select, we’re deciding why that checkbox should exist in the first place.

That’s a much harder problem.

A Procurement Example

Take Dynamics 365 Finance & Supply Chain. Suppose a company wants to automate purchasing.

A few years ago, a consultant would spend hours clicking through forms: building workflows, defining approval hierarchies, configuring procurement policies, testing every scenario by hand. Today, AI can generate much of that scaffolding.

But someone still has to answer:

  • Should approvals run by department, cost center, project, or spending threshold?
  • Which purchases should bypass approval entirely?
  • How are emergency purchases handled?
  • What happens when an approver is out on vacation?
  • Which controls satisfy audit requirements without slowing the business down?

Those aren’t configuration questions. They’re business questions. And business questions have always been where experienced consultants create the most value.

The Pattern Is Everywhere

Developers spend less time writing boilerplate and more time describing the architecture they want. Data analysts spend less time writing SQL and more time deciding which questions are worth asking. Architects spend less time drawing every line and more time defining the building.

Doctors increasingly have AI helping interpret medical images, but the physician still decides which tests to order, how to read the results in context, and what treatment actually fits the patient.

The profession doesn’t disappear. The center of gravity moves.

Prompting Is Requirements Gathering, Rebranded

This is why prompt writing gets misunderstood. People treat it as clever wording. It isn’t.

Good prompts are evidence of good thinking. A well-written prompt reflects a clear grasp of the business objective, the constraints, the desired outcome, and the tradeoffs involved. The better you understand the problem, the better your prompt becomes.

In many ways, prompting is just the modern version of requirements gathering. The consultant who asks twenty thoughtful questions before asking AI a single one will consistently outperform the consultant who jumps straight to generating configurations.

Where This Leaves the Next ERP Expert

The future ERP expert will spend less time configuring systems and more time shaping solutions. That means curiosity beats memorization. Business knowledge beats navigation skills. Judgment beats mechanics.

AI is making execution cheaper. It’s making thinking more valuable.

The companies that win won’t just have access to better AI. They’ll have people who know what to ask, why they’re asking it, how to challenge the results, and when to change direction.

The next generation of ERP consultants won’t be measured by how fast they can configure a system. They’ll be measured by how well they can define the problem AI is being asked to solve.

Because in the age of AI, the competitive advantage isn’t having all the answers. It’s asking the questions that lead to the right ones.

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