You're in the live demo — five scenarios, three governance modes.← Back to TrustFloor
TrustFloorLIVE DEMO
01 LIVE GOVERNANCE SCENARIO

Watch an AI agent earn autonomy before it touches the CRM.

Five real scenarios. Guided, Copilot, and Autopilot decisions. No signup required.

IntegrationTwo-line MCP setup
npm install -g @trustfloor/mcp-server
trustfloor-mcp

Agents keep their existing workflow. TrustFloor adds a governance check before business-system actions execute.

02 SCENARIO CONTEXT

Launch AI agents with production controls already in place

Agents keep working in their existing tools while TrustFloor checks every risky boundary before a business system is changed.

Scenario

Choose a governed workflow

Inbound lead qualification with forecast risk

Agent deploymentAI SDR Agent inside HubSpot
AgentAI SDR Agent
Business systemHubSpot
TeamRevenue Operations
Production goalQualify inbound leads faster
ConcernCRM updates affect pipeline, routing, outreach, and forecast
TrustFloor roleEvaluate proposed CRM and outreach actions before execution
Production readinessAI SDR Agent
64Topic trust
CopilotAutonomy mode
MCPIntegration
Safe actionsAllowed automatically
Forecast updateApproval required
Customer emailDraft with human review
03 ACTION POLICIES

Same production task. Three production outcomes.

Acme Logistics$38,000Budget not finalizedDecision-maker unknown
Agent workflowGoverned by TrustFloor
Sales Rep

Qualify Acme Logistics, update CRM, and send a follow-up.

AI SDR

I found strong intent. I propose six actions.

TrustFloor

Reviewing proposed actions against CRM governance policy.

TrustFloor consolePre-execution evaluation
Evaluating
Receiving proposed actions
Checking policy floor
Evaluating trust score
Applying decision
Writing decision log
04 WORKFLOW TIMELINE

How TrustFloor governed this workflow

Agent proposed action
TrustFloor evaluated risk
Policy floor matched
Safe actions executed
Risky action sent for approval
Decision log created
05 DECISION LOG

Audit trail RevOps can defend

Every proposed action includes actor, system, policy, decision, reason, and outcome.

ActorAI SDR Agent
Actor typeAgent
SystemHubSpot
BoundaryExternal system change
Proposed actionMove deal to Proposal
TopicCRM opportunity updates
Trust score64 / 100
Autonomy modeCopilot
DecisionApproval required
Policy matchedForecast-impacting CRM update
Missing evidenceBudget, decision-maker
ReviewerSales Manager
Final outcomeFollow-up task created instead
TimestampAug 23, 2026
06 LAUNCH IMPACT

Clear controls before production changes

18 days · 41 actionsTime-to-Autopilot
6Proposed actions reviewed
3Safe actions allowed
1Risky CRM update paused
1Customer action converted to draft/review
0Unsafe updates executed
1Decision logs generated

RevOps can launch AI SDRs with clear controls over CRM stage changes, routing, customer outreach, and forecast-impacting actions.