Consulting

I show you, with your own data, where AI adoption is squeezing how your people grow, and help you respond in steps sized to your readiness.

Five steps, plus one before them

You can start at any step. Most organizations start by looking. If you are just starting with AI, you can begin one step earlier.

Step 0 · Start well

AI adoption workshop and program. For organizations just starting with AI. A one-day workshop, then a program of about 16 weeks, that sets up AI use so people keep growing on the work: a clear line on what stays human, and growth checks built into your first AI pilots before habits set. It hands over to the Diagnostic when you are ready to scale.

Step 1 · Look

AI Workforce Impact Diagnostic. See the pressure with your own data: where entry points are narrowing, where judgment is needed sooner, and how your levels are changing. You get a picture by level, not an opinion.

Step 2 · Act close to the work

The training tracks. Put team-level tools in place where the pressure is greatest: the Oversight Ladder, Micro-Rungs, peer circles and the Structured Ask. See Training.

Step 3 · Draw the line

AI Decision Governance Setup. Decide in writing what AI may help with and what must stay with a named person, and how much checking each kind of AI-assisted work needs.

Step 4 · Fix the systems

Structural Change Pilot Design. Pilot changes to levels, hiring, pay or ways of working with one real team, then widen what works.

Step 5 · Rebuild the rung

Foundation Rebuild. Design a deliberate path to independent judgment for early-career roles, so the practice that used to happen by accident happens on purpose.

How every engagement works

• One set of outcome measures across every offer, baselined at the start, so you can see what changed.

• Sized to your readiness: a focused first step, not a transformation program.

• Works in hierarchies and in networks of teams alike.