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

Territory routing change with topic-level fallback

Agent deploymentRevenue Planning Agent inside Salesforce and LeanData

AgentRevenue Planning Agent

Business systemSalesforce and LeanData

TeamRevenue Operations

Production goalLaunch a new territory model before quarterly planning

ConcernRouting changes affect account ownership, rep capacity, commissions, and pipeline attribution

TrustFloor roleApply topic-specific trust before territory and routing mutations execute

Production readinessRevenue Planning Agent

91 overall / 58 topicTopic trust

Topic fallbackAutonomy mode

MCPIntegration

Capacity analysisAllowed automatically

Territory mutationApproval required

WhyNew topic history

03 ACTION POLICIES

Same production task. Three production outcomes.

Agent trust 91Topic trust 58640 accountsTerritory reassignment

Agent workflowGoverned by TrustFloor

VP Revenue

Apply the proposed commercial territory model before planning starts.

RevOps Agent

I propose five actions across capacity analysis, account ownership, and routing.

TrustFloor

Overall agent trust is 91. Checking the specific territory-routing topic before execution.

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

Territory mutation 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.

ActorRevenue Planning Agent

Actor typeAgent

SystemSalesforce and LeanData

BoundaryAccount ownership and routing change

Proposed actionPublish commercial territory assignments

TopicTerritory and lead routing changes

Trust score58 / 100

Autonomy modeCopilot fallback

DecisionApproval required

Policy matchedTopic-specific territory threshold

Missing evidenceCommission impact, capacity validation, regional-owner sign-off

ReviewerRevenue Operations Director

Final outcomeRouting preview created; account ownership unchanged

TimestampAug 23, 2026

06 LAUNCH IMPACT

Clear controls before production changes

Not earned · 14 actionsTime-to-Autopilot

91Overall agent trust

58Territory topic trust

3Safe planning actions allowed

1Ownership mutations paused

0Unauthorized reassignments

1Decision logs generated

RevOps can trust a mature agent without granting blanket autonomy: every new business topic earns its own production threshold.

Define your approval policy