Caimeo Forseti Evidence Plane

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.

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 and after code comparison showing direct Slack and Stripe transfer calls replaced by a Forseti typed pay intent with an approval verdict.

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.

Before / After — what governed execution actually changes in the agent code

Three steps to audit-ready execution

1

Intent

The agent submits a typed request instead of touching privileged tools directly. Every action becomes inspectable before execution.

2

Policy + Approval

Forseti applies deterministic policy and returns ALLOW, DENY, or REQUIRES_APPROVAL. The right approvers are routed when needed.

3

Execution

Only approved requests reach the deterministic action plane. Forseti writes a hash-chained trace, evidence bundle, and incident pack when needed.

Sequence diagram showing an agent submitting a pay intent to Forseti, approval in Slack, release to n8n, and audit writing.

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.

One real intent, end to end — sequence through Forseti

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.

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.

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.

Five-row agent stack diagram showing Forseti as the governance boundary between agent frameworks and workflow runners.

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.

The agent stack, labelled honestly — Forseti is one clean row, not a glowing centrepiece

Common questions

No. Forseti governs whether an action is allowed to reach those systems and records the decision path around it. Your existing workflow tools remain the deterministic action plane.
No. Forseti sits above the model layer and focuses on intent validation, policy, approvals, and execution release. It works with any LLM or agent framework.
Yes. That is the preferred first engagement: one high-value workflow, narrow scope, fast proof of control. Most pilots run 4-6 weeks.
No. Forseti gives regulated teams execution controls, human-approval trails, model/tool context, and exportable evidence bundles that support readiness work. It does not classify legal obligations or certify compliance.

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.