Per-Topic Trust,
Not Blanket Trust
An agent trusted on lead enrichment isn't trusted on forecast-sensitive fields. Trust scores are earned per topic — high overall trust never unlocks a low-trust topic.
The trust layer between agents and your CRM
TrustFloor evaluates every agent action before it hits your CRM — allow, review, approve, or deny. Agents earn per-topic autonomy through verified outcomes, policy floors stay non-negotiable, and every decision is logged.
Works with any agent platform through API or MCP
crm.contact.bulk_update
Governs agents acting on your GTM stack
TrustFloor is how AI agents earn autonomy across any agent platform. Every action is evaluated against topic-level evidence and the policies your business will not negotiate.
An agent trusted on lead enrichment isn't trusted on forecast-sensitive fields. Trust scores are earned per topic — high overall trust never unlocks a low-trust topic.
Bulk updates over N records, ownership changes, money movement — hard floors route to a human no matter how trusted the agent is.
Reviewers approve, reject, and attach required checks. TrustFloor recalls the reviewer's exact instruction and keeps matching actions blocked until the required checks are satisfied.
Week 1, most actions need a human. As verified outcomes accumulate, topics cross into Copilot, then Autopilot.
Time-to-Autopilot is the number we obsess over — it's the ROI of your agent.
Your agent asks before it acts. TrustFloor combines per-topic trust, policy floors, and prior reviewer instructions into a deterministic decision.
Run the territory assignment scenario →Earned autonomy. Execute and log.
Human judgment needed before execution.
Required checks satisfied. Proceed.
A policy floor or failed check blocks the write.
territory_assignment · enterprise_usterritory_owner_verified: trueTrustFloor recalls the reviewer's exact instruction and keeps matching actions blocked until the required checks are satisfied.
Production matching is deterministic through topic, case key, and structured check IDs — predictable enough to audit and explain.
Seven MCP tools give any compatible agent a governed path to list topics, evaluate actions, request approvals, record outcomes, and inspect trust.
$ npm install -g @trustfloor/mcp-server