Build for Change
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Human-centered AI transformation for organizations that are restructuring, merging, acquiring or automating.
We capture the judgment, expertise and know-how of your people and put it to work
Today
41 percent of employees say their company cut management layers last year (Korn Ferry).
Restructuring led all reasons for US job cuts in August 2026 (Challenger).
82 percent of executives have lived through a redesign at their current company, 70 percent in the last two years (McKinsey).
Every restructuring in 2026 is an AI restructuring.
The question is no longer whether the organization will change shape.
It’s what will it look like when its changed.
Knowledge gets written down. Knowing doesn't.
The procedures are in the manual. The reasons behind them live in the people who wrote it, and in the people who learned to bend them. When a role is consolidated, a key person retires or a department is handed to an agent, that knowing leaves with them, and the person left holding the job finds out what was missing one bad decision at a time.
The tools that plan a reorganization model the boxes: spans, layers, cost. None of them can tell you what is inside the boxes.
Organizations cut, merge and automate before they know where the judgment sits. Fewer than a quarter of redesigns fully meet their objectives, and this is a large part of why.
We accelerate teams.
You depend on a few people who can't fully explain what they do. When they leave, when someone new joins, or when everything has to go through them, the whole team slows down. The expertise exists. The problem is getting it out of their heads and into the hands of the people who need it.
Capture. Clara talks with your people, one at a time, in their own words. She draws out how they decide, not just what they do, using methods built to study expert judgment in high-stakes work.
Model. What they know becomes an organizational graph: attributed to the person who said it, approved before it is used, and queryable by anyone with a reason to ask.
Share. The people who need that judgment get it where they work, when they need it, with the name of the person it came from.
Human-centered AI transformation starts with one of four situations. Find yours.
1. Restructure
You are flattening, consolidating or rightsizing, and the people carrying the merged roles don't have what the departing roles knew. Start with a judgment density map: where the judgment sits, and where a cut would take something you can't replace.
Merge
Two organizations, overlapping roles, and one way of doing things about to be stood down. Start with a judgment map of both sides, so integration day doesn't become the day the knowing left.
Acquire
You are paying for a business whose value sits in a few people, and the earn-out is your retention plan. Start with a judgment diligence map of the key persons, then capture their judgment through the earn-out, while it is still theirs to give.
Automate
The board has approved the AI budget. Now someone has to decide which work goes to agents, which stays human, and how the humans stay effective afterward. Start with an automation map: judgment density scored at the task level. Know what to automate before you automate it.