Audit-ready AI action governance
Put every high-stakes agent action behind typed intent, deterministic policy, human approval when required, and exportable evidence for regulated workflows.
The Problem
Agents are useful enough to act.
Can you prove how they acted?
Most teams already have agents that can draft, plan, and suggest real work. But deploying them against production, payments, or outbound communications without an evidence-producing control layer leaves security, compliance, and platform teams guessing after the fact.
Before Forseti, the agent posts to the payments Slack channel and calls stripe.transfer for invoice 4821 without review. With Forseti, the agent submits schema version 0.1, intent Pay invoice 4821, action type pay, risk high, recipient Microsoft, amount_usd 7500, and currency USD. Forseti returns REQUIRES_APPROVAL with 2 c_level or 10 member approvals.
How It Works
Three steps to audit-ready execution
Intent
The agent submits a typed request instead of touching privileged tools directly. Every action becomes inspectable before execution.
Policy + Approval
Forseti applies deterministic policy and returns ALLOW, DENY, or REQUIRES_APPROVAL. The right approvers are routed when needed.
Execution
Only approved requests reach the deterministic action plane. Forseti writes a hash-chained trace, evidence bundle, and incident pack when needed.
Sequence: Agent submits pay intent amount_usd 7500 to Forseti. Forseti evaluates policy and returns REQUIRES_APPROVAL because pay requires approval and the amount is above the 1000 dollar policy limit. Forseti sends an approval request requiring either 2 c_level approvals or 10 member approvals. The CFO and COO approve. Forseti releases the intent to the n8n action plane, records execution_complete, and writes audit trace t_8f21 with hash 0x4b7e...a1.
Capabilities
What Forseti gives your team
Typed intent envelopes
Agent actions become inspectable, validatable data structures. Intents stay held until policy reaches a terminal verdict — no race conditions at the gate.
Deterministic policy engine
Allowlists, domain checks, amount thresholds, action limits, secret detection, and high-risk handling with explicit reasons attached to every verdict.
Flexible approval trees
Single approver, multi-approver with quorum, any_of and all_of logic, and hierarchy-aware routing for organisations that already have one.
Slack-native approval flows
Interactive approval cards, slash-command ingress, and async processing so the ACK path stays fast even under quorum voting.
Action plane integrations
Once released, intents fan out into your existing orchestration: n8n, Temporal, webhooks, GitHub Actions, custom runners. Forseti stays above them all.
Evidence bundle export
Hash-chained traces, vote records, callback delivery, signed JSON bundles, CSV timelines, and incident reconstruction packs for auditor review.
Model, tool, and vendor registry
Attach model versions, prompt hashes, data classifications, owners, APIs, vendors, and workflow context to each governed action.
Use Cases
Start with the actions that have real-world blast radius
Production deploy approvals
A release agent proposes a Friday 17:00 deploy. Forseti routes it to the on-call SRE channel with quorum 2-of-3, holds the intent until two approvers ACK in Slack, then releases into the n8n deploy workflow. An automatic rollback intent is pre-armed if the post-deploy audit flag fires. Every step lands in the trace, including who approved and how long it took.
Payments & vendor operations
Require the right quorum before money moves or a vendor communication goes out.
Outbound agent communications
Let teams review customer or supplier messages when the action crosses a risk threshold.
Privileged tool access
Keep shells, workflow invocations, tickets, and external APIs behind policy instead of implicit trust.
Regulated workflow evidence
Support NIS2/ZKS, DORA, and AI Act readiness with concrete records of what the agent intended, what policy decided, who approved, and what executed.
Positioning
Not a generic compliance platform
Caimeo sits at the risk boundary. Forseti governs whether an action is allowed to reach your execution systems and records the evidence around that decision. It supports regulated workflow readiness without pretending to replace legal counsel, your SIEM, or your GRC stack.
Stack rows from top to bottom: Model layer, any LLM, Anthropic, OpenAI, Mistral, Llama, local. Agent framework, any framework, LangChain, CrewAI, Claude Agent SDK, custom. Forseti, governance boundary, typed intents, deterministic policy, approvals, audit. Workflow runner, any orchestration, n8n, Temporal, Make, GitHub Actions, custom. Real world, side effects, production systems, money movement, external APIs, customer communications.
FAQ
Common questions
Get Started
Bring one regulated workflow. We’ll turn it into an evidence pilot.
The design-partner pilot is 4–6 weeks: one governed workflow, a Slack approval path, one readiness-oriented control pack, an evidence dashboard, and an exportable audit bundle.