Agentic AI is quietly redefining what modern consulting looks like. Not by automating slide decks or accelerating delivery timelines, but by reshaping how decisions are made, how expertise is deployed, and how value compounds over time.

That shift is at the center of a recent Unite.ai feature exploring how agentic AI systems are transforming the consulting model, and why advisory firms can no longer rely on static frameworks in a world that increasingly demands adaptive intelligence.

Among the voices contributing to that perspective is Martin Lewit, SVP of Growth & Corporate Development at Nisum. His participation reflects a point of view forged at the intersection of strategy, technology, and real-world execution: consulting is moving from episodic advice to continuous, intelligent collaboration.

In the article, agentic AI is framed not as a tool that replaces consultants, but as an operating layer that augments judgment, coordinates complex decisions, and learns alongside organizations. This mirrors what Lewit has seen firsthand while working with global enterprises navigating AI adoption at scale, where the challenge is no longer access to intelligence, but orchestration, trust, and accountability.

For consulting leaders, the implication is clear. As AI systems become more autonomous and context-aware, the role of consultants evolves from problem-solvers to system designers—responsible for shaping how intelligence flows through an organization, and how human expertise remains firmly in the loop.

Lewit’s contribution underscores a broader reality: the firms that will define the next era of consulting are not those that move fastest, but those that build the right foundations for adaptive decision-making. Agentic AI is accelerating that transition, but strategy, architecture, and governance remain the differentiators.

The Unite.ai article offers a timely lens into this transformation; one that goes beyond hype to examine how consulting itself is being re-engineered for an AI-native world.