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 AuditTalk to the Navedas team