AI Execution Control Layer
MIG sits between AI agents and the actions they take. Every action validated. Every unknown blocked. Every decision logged.
The problem
They send emails, access files, execute payments, and query databases — all decided by the same model that hallucinates facts.
The agent decides its own permissions. Policy compliance is a prompt instruction, not a structural enforcement.
Actions happen. Nobody knows why they were allowed. There's no record of what was checked or what was missed.
When the system is uncertain, it proceeds anyway. Unknown becomes implicit permission. Guessing becomes policy.
How it works
Before any agent action executes, MIG validates it against verified knowledge. The agent never decides its own permissions.
Raw action intent
Verifiable data points
Verified knowledge check
Math, not estimation
Allow · Deny · Approve
Three outcomes
Entity verified. Confidence above threshold. Action proceeds immediately. Decision logged with full evidence trail.
Medium confidence or sensitive action. Execution paused. Escalated to a human operator via Slack. Blocked until approved.
Unknown entity or low confidence. Action hard-blocked. "I don't know" is always safer than guessing. Logged and reported.
Key properties
Actions are validated before they happen. Not monitored after the damage is done.
MIG is a separate system. The agent cannot self-authorise around it.
Checks whether it knows an entity, not whether the request "seems" safe. Data, not vibes.
Unknown entities are blocked. Unreachable system means deny. The default is never "allow."
Add new knowledge and policies instantly. No retraining. No redeployment. Just teach.
Every decision stored with timestamp, entities checked, confidence score, and reasoning.
Works with any agent — LangChain, CrewAI, Relevance AI, or custom. One API call.
Core architecture protected under USPTO Provisional Patent #63/821,489.
Live proof
These are actual MIG responses. Not simulated. Not mocked. Running on our infrastructure right now.
Get started
We're working with pilot customers in legal, compliance, and enterprise verticals. If your AI agents take real-world actions, we should talk.
neel@houseofgalatine.com