The Lane · AI Governance
Govern the AI your organization is already building
Every employee with a coding-tool subscription is now a builder. That creates two problems no dashboard solves: shadow AI sprawling beyond anyone’s line of sight, and tokenmaxxing — usage paraded as a result. These tools help you see it, govern it, and prove its value. Judgment in, board-ready out. No repos, no agents, no integration.
Shadow AI is the new Shadow IT — at far greater volume
When anyone can ship a working app in an afternoon, unsanctioned tools no longer scale with your engineering team. They scale with headcount. The risk is not the experimentation; it is the invisibility — data flows and dependencies no one reviewed and no one owns.
Tokenmaxxing measures motion, not outcomes
Tokens burned, lines generated, suggestions accepted: easy to count, and quietly meaningless. Usage is an input and a cost. The work that turns it into value — review, shipping, maintenance — is invisible on a usage dashboard, which is exactly when usage looks most impressive.
The apps
See it, govern it, prove it
Shadow AI Exposure Register
Inventory the AI-built apps and automations sprawling across your org, score each on data, blast radius, and ownership, and assign a disposition before they become incidents.
Open the appAI Coding Governance Policy Builder
Generate a tiered, board-ready acceptable-use policy for AI coding tools — calibrated to your industry, risk appetite, and the data your teams touch.
Open the appAI ROI Reality Check
Cut through tokenmaxxing — translate AI-tool spend and claimed productivity into net realized value after review, rework, and the maintenance tax on generated code.
Open the appThe playbooks
How to run the plays
The Shadow AI Exposure Audit: A CIO's Field Guide to Vibe-Coding Sprawl
You cannot scan your way out of shadow AI. A practical, four-move audit that sizes the sprawl from seats you already pay for, surfaces what you can't see, and assigns every AI-built tool a disposition.
9 min readStop Measuring Tokens, Start Measuring Outcomes
Tokenmaxxing has made AI usage the scoreboard. Here is how to net a claimed productivity gain down to realized value — and which four metrics belong on the board slide instead.
8 min readA One-Page AI Coding Policy for Regulated Industries
A tiered green/yellow/red model that lets the safe majority build freely while keeping PHI, cardholder data, and customer PII out of harm's way — short enough that people will actually read it.
8 min readStart with the audit
Size your shadow-AI exposure in an afternoon, set the policy that keeps the next wave in the green zone, and put a defensible ROI number on the table. All three are in the CIO Intelligence Suite, on a 7-day trial.