Two field engineers embed in your operation, build the governance layer across your back-office workflows, and leave you owning the AI. Every decision your agents take — before it reaches the customer or the ledger.
Speed without governance. Your agents process decisions faster than your policies travel. The gaps show up in disputes, chargebacks, and audit findings — weeks after the damage.
Your agent reverses a transaction, waives a fee, or adjusts a claim limit — outside the policy that was supposed to govern it. No one catches it until the P&L review.
The SOP lives in a wiki. The AI reads a prompt. The human read a memo two years ago. Three different interpretations ship to three different customers.
You have logs. You don't have reasoning. When a regulator asks why a decision shipped, "the model thought it was right" is not an answer.
Every back-office action — AI agent, human operator, or automated workflow — hits the Decision Gate before it commits. No citation, no output.
Your SOPs and tribal knowledge become a live, enforceable policy graph. AI reasons against the graph, not guesses.
Every AI inference intercepted and checked against the Graph at decision-time. Not after. If the decision violates policy, the action is blocked.
Every decision logged in an immutable ledger — who decided, when, why, under which policy. Audit-ready, proof of policy compliance in every row.
An AI agent fabricates a refund confirmation. The Interceptor catches it before the customer ever sees it.
Intercepted at inference-time. Customer never saw the false promise. Reasoning Ledger filed automatically.
Send us 1,000 recent back-office decisions. We return the exposure: which actions shipped outside policy, how much it cost, and what a governed operation recovers.
Run a $500 Audit