The Agentic Workforce Maturity Model
From random acts of AI to a company-wide agentic workforce. Five stages, a self-assessment at every step, and the one move that gets you to the next.
Drawing on research from Gartner, McKinsey, Deloitte, Ramp, Airtable, and MIT’s Project NANDA
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Most AI has no business owner
Most companies cannot say who owns each piece of AI, what it costs, or whether it is working. The research shows where that leads.
Ownership, not tool count, is the measure
Every stage asks one question: does this piece of AI have a name, a manager, a cost, and a job, the way every employee does?
- Stage 01
Random Acts of AI
Individual seats, invisible usage.
Who owns the AINo one
- Stage 02
Workflow Automation
Hundreds of point automations. Brittle.
Who owns the AIWhoever built it
- Stage 03
Named Agents
Roles and managers, one department at a time.
Who owns the AIA manager per agent, in one department
- Stage 04
Agentic Pods
Owner, builder, and business expert share one scoreboard.
Who owns the AIA pod: owner, builder, and expert
Find your stage, then take one step
Each stage ends with four statements. If most are true, that is your stage, and the guide names the move that gets you to the next.
- What each stage looks like, and where research puts most companies today
- A worksheet to map each team, since most companies sit at different stages in different teams
- One specific, doable move to reach the next stage
- Ticked: You could not tell someone, today, how many AI tools your company is actually paying for
- Ticked: Nobody in finance can point to a line item for AI spend that isn't buried inside ten other software subscriptions
- Ticked: Usage is something you assume is happening, not something you can see
- The board has asked about AI ROI, and the honest answer is that no one owns that number
A name, a manager, a cost, a job
Give the next piece of AI in your business what every employee already has. The guide shows how, one stage at a time.