Fractional CAIO Service
Shadow AI tools are already in use across the org; nobody has a full inventory.
Copilot and pilot programs are live in pockets, with no shared roadmap between them.
The only ROI story you can tell the board right now is anecdotal.
A Fractional CAIO Who Works Your Problems, Not Ours
Embedded on retainer. Three workstreams, one accountable owner: you.
Governance
The policies, risk register, and approval workflows that turn shadow AI into sanctioned, monitored AI.
Roadmap
A sequenced plan for where AI gets deployed next, tied to business outcomes instead of tool availability.
Champion Network
Internal people, across business units, who carry adoption forward once the engagement steps back.
A Maturity Model, Not a Checklist
Your fractional CAIO works from Improving's Intelligence Operating System so you can tell the board exactly what stage you're in, and what the next one requires.
WAVE 1
Tools
Stages 1-2
From zero AI usage to off-the-shelf AI assistance. Humans approve every action, building the foundational trust required to advance.
WAVE 2
Process
Stages 3-4
AI moves beyond individual tasks to full workflows and governance infrastructure becomes essential. This is where most organizations stall.
WAVE 3
Agentic Operations
Stages 5-8
Agents run autonomously, coordinate in parallel, and span multiple products. This is where organizations stop managing AI and start operating with it.
Signals It's Time for a Fractional CAIO
Copilot, Claude, or similar is deployed, with no governance function tracking usage or risk.
The board or audit committee has asked who owns AI risk and the honest answer is no one, formally.
Pilots are running in two or more business units with no shared roadmap or success metric between them.
You need board-level AI reporting and don't have the internal bandwidth to build it.