EXECUTIVE INSIGHT

AI Frees Up Time. Who Turns It Into Value?

Work, value, business model: three decisions to make together.

Frédéric Vallerich

Founder, Aligned in Motion

· 3 minutes

Imagine a consulting firm that cuts the time needed to prepare an initial client analysis from ten hours to four using AI. Six hours are freed up. Where do they go?

The firm can take on more engagements, lower its price, improve its margin, or use that time to meet the client, test assumptions, and deliver a stronger recommendation.

The efficiency gain is real. What happens to it is a leadership choice.

Three decisions are connected.

1. Redesign the work

When AI drafts the first pass, what does the team do with the time saved? It can test conclusions against the evidence, seek counterarguments, understand the client's constraints, and prepare a better decision.

This also raises a question about development: if junior professionals no longer produce these initial analyses, how will they learn to judge their quality? Shifting the work without redesigning how people learn risks eroding the very skills the firm will need tomorrow.

2. Redesign the value

Faster delivery can matter to clients. Other gains may matter even more: spotting a weak assumption before a decision, comparing real strategic options, understanding a risk more fully, or providing more attentive support through implementation.

Clients do not buy the hours you freed up. They buy what those hours allow you to achieve for them. You have to show them the difference.

3. Redesign the economics

Who captures the productivity gain? The answer depends on the contract and on leadership choices.

In an hourly billing model, fewer billable hours can reduce revenue on that engagement. With a fixed fee, the same gain can improve the margin. A richer service may support a new offer if clients see the benefit and accept its price.

None of these paths happens by itself. Each changes the incentives to invest, develop people, and improve outcomes.

The leadership decision

Before deploying AI everywhere, I would ask three questions:

  • What higher-value work do we want people to do?
  • What concrete improvement will the client experience?
  • How will it affect our revenue or cost structure?

Time saved is a resource, not a strategy. Strategy is deciding what that capacity enables us to do better, for whom, and how to turn it into lasting value.