Governed agent workflows

Policy, approval, and audit for AI coding agents

Every agent action policy-checked, approved when it matters, and written to a hash-chained audit trail.

Approval queue

FinCard demo

Tool call, risk, and reviewer decision — every resolution lands in the audit trail.

The problem

The problem isn't AI agents. It's that nobody can answer for what they did.

Engineers keep their tools

Security keeps the gate, on the agents your team already runs.

Approve before it executes

Destructive commands and external writes pause for explicit confirmation.

One policy across every repo

Same rules, budgets, and audit format on laptop, CI, and cloud workers.

Decision loop

Intercept

Catch the tool call before a bad change lands.

Classify

Score risk using tool metadata, policy rules, and approval history.

Enforce

Allow, confirm, or block, then record the outcome for audit.

Allow

Low-risk reads and deterministic checks run straight through.

Confirm

Execution pauses until a named reviewer approves or denies.

Block

Policy violations stop before the action executes.

Deployment

Bedrock inference, IAM-scoped workers, audit in your account. Azure and Google Cloud adapters are roadmap.

Full architecture detail lives in the cloud deployment section.

Prove approvals, audit, and policy on one real workflow. Then roll it out.