Make AI Standards Real Without Policing Pull Requests
Centralized AI configuration, repo-scoped guardrails, and onboarding that takes minutes - enforced by the platform instead of by code review.
Standards That Live in a Wiki
- Configuration drift. Every repo has a slightly different CLAUDE.md, and nobody knows which one is correct.
- Slow onboarding. New hires spend their first days assembling an AI setup by copying from a teammate.
- Uniform guardrails. The payments repo and the marketing site get the same rules because per-repo policy is manual.
- Unreviewed MCP servers. Agents connect to external tool servers that never went through any review.
Configuration as Infrastructure
AI Profiles
Author CLAUDE.md, .cursorrules, Copilot instructions, memory packs, and MCP allowlists once, assign them to teams or repos, and push fleet-wide.
- 5 merge strategies
- Discover & assign
- Promotion workflow
Repo-scoped risk levels
Policies scope to org, team, device, or user with priority-based evaluation, so a high-risk repository can carry stricter guardrails than a low-risk one.
- 4 scope levels
- Priority resolution
- Audited exceptions
Drift detection
When someone edits a managed config on their machine, you get an alert and an auto-reconciliation path instead of silent divergence.
- Managed config tracking
- Auto-reconcile
- Per-device visibility
Zero developer friction
The agent runs silently - no popups, no configuration screens, no prompts. Enforcement happens locally in sub-millisecond time, so nothing feels slower.
- < 50 MB memory
- < 1% CPU
- No workflow changes
The Questions You Can Now Answer
- Which repos are running a modified version of our AI configuration?
- How long does it take a new hire to reach a compliant AI setup?
- Which MCP servers are our agents actually connecting to?
- What did the agent run in this repo last Thursday, and what did it change?
- Which dependencies did AI agents introduce, and do any carry known CVEs?
Standardize AI Across Every Repo
Start free on up to 5 endpoints and push your first AI Profile the same afternoon.
[email protected]kraitos.io