One AI coding standard across the portfolio.
Give every portfolio company one way to govern AI-generated code: each builds its own Architecture Graph, runs the same policy guardrails, and produces board-ready evidence the same way. You set the standard. Each company keeps its own deployment, its own data, and its own decision.
How a private equity sponsor standardizes AI coding, without mandating.
You set the standard
Recommend one AI coding governance baseline across the portfolio: the Architecture Graph, an executable Policy Pack, and three checks from prompt to pull request.
Each company adopts it
Every company builds its own Architecture Graph, runs the guardrails in its own environment, and keeps its own deployment, its own data, and its own decision. You suggest the standard; the team owns the work.
Engineering value compounds
Drift is caught while it is still cheap to fix, onboarding gets faster, and every company can produce board-ready evidence the same way. The asset you are holding gets stronger, not riskier, as AI adoption grows.
Every CTO and VP of Engineering is fielding the same board question: what's our AI strategy?
The same models ship governed code at the frontier and ungoverned, drifting code everywhere else. What separates them is whether every agent works with your architecture and your policies.
Free. Yours either way.See it on a real codebase. Thirty minutes.
Live walkthrough of StackRails, the three checks, and the two-tier authorization model on a real codebase. Founder-led for first customers. Response inside one business day.