AI Doesn't Just Automate Tasks. It Reorganizes Your Entire Organization.
78% of companies use AI. Only 5.5% see real financial impact. The gap is organizational, not technical. We help you close it — role by role, team by team.
15 scenario-based questions. About 5 minutes.
Built for technology companies with 20-200 employees ready to make AI a core competency.
The Gap Between Using AI and Getting Value from It.
of AI-adopting companies see meaningful EBIT impact.
Most investments go to tools. Most value sits in how work is structured. McKinsey, 2025.
of AI value comes from workforce and process redesign — not from algorithms.
If you are only investing in tools, you are competing for 30% of the value. BCG AI Radar, 2026.
of companies have actually redesigned workflows around AI.
That 21% captures the majority of EBIT impact. Workflow redesign — not tool adoption — is the #1 predictor of financial outcomes. McKinsey, 2025.
If AI disappeared from your company tomorrow, what would change?
"Nothing structural."
Level 1 — you are in the majority
"Some workflows would break."
Level 2
"The company could not function."
Level 3 — AI-Native
Or start with the individual AI Maturity Assessment
What Changes When Your Organization Is AI-Native.
A Cost Base Competitors Can't Match.
AI-native companies average $3.48M revenue per employee — 17× the traditional baseline. Workflow redesign delivers 2.5× revenue growth.
BCG 2026 · Accenture 2024
Teams Bigger Than Their Size.
AI handles routine execution. Your people handle judgment, strategy, and the work that was sitting in the too-hard pile. One person doing what used to require a team.
Work People Actually Want to Do.
What remains is judgment, taste, strategy, human relationships. Premium skills (directing AI, writing specs, evaluating output) become the career path your people can actually build on.
How It Works
Level 1 → Level 2 → Level 3, role by role, team by team.
Assess
Every employee takes a maturity assessment to establish their baseline — individuals are placed on a tier scale, engineering roles on an additional rung ladder.
Coach
An AI coach walks each employee through a structured 6-step session to reimagine their role, identify gaps, design systems, and build a 30/60/90 day transition plan.
Review
Managers review submitted plans against specification primitives — with AI-assisted pre-scoring to speed things up.
Assessment, Coaching, Transition Plans, and Analytics
Assess every employee on the individual tier scale (T0 → T3). Plot engineers on the rung scale (0 → 5). Generate role-specific 30/60/90 transition plans. Review, score, and track across the whole org.
See the Transformation PlatformNot Another AI Workshop
Workshops on AI literacy
Roles rebuilt around AI, one employee at a time
Consultant decks
Transition plans the employee writes and the manager scores
"AI augments everyone"
Honest about role evolution — convergence, absorption, and displacement named
Investing in tools (30% of the value)
Investing in workflow redesign (the 70%)
"AI reduces the cost of answers. Money moves to those who define the questions."
From the AI Native Transformation framework. Read the Framework
Grounded in Research.
- ~70% of AI value is organizational, not algorithmic. BCG, 2026.
- Only 21% of companies have redesigned workflows around AI. McKinsey, 2025.
- 56% of CEOs report zero AI cost or revenue benefit. PwC, 2026.
- Workflow redesign → 2.5× revenue growth. Accenture, 2024.
The full framework is free and open-source (CC BY 4.0). Read it
Ready to Transform Your Team?
Currently in pilot with 5 technology companies undergoing AI transformation. If you're leading a 20-200 person team and want to make AI a core competency, let's talk.
Apply for Early Access