The Control Plane for Enterprise AI Agents
Observe, govern, and scale every AI agent across your organization. Enforce policies, and optimize costs - all from one platform.
BUILT FOR TEAMS USING
The Problem
AI Agents Are Taking Real Actions.
Who's Watching?
Enterprises face six critical gaps as AI agents move from experiments to production.
The Trust Gap
Agents execute autonomously but there's no way to verify they're acting within approved boundaries.
The Visibility Gap
Teams can't see what agents are doing, which tools they're calling, or what decisions they're making in real time.
The Governance Gap
No standardized way to enforce policies, approve high-risk actions, or maintain compliance across agents.
The Collaboration Gap
Agents can't discover or delegate to each other. Multi-agent workflows have no governed handoffs, no shared context, and no audit trail across interactions.
The Cost Gap
Token spend, API calls, and compute costs grow unchecked with no attribution, budgets, or optimization levers.
The Adoption Gap
Security and compliance concerns block teams from deploying agents beyond proof-of-concept stage.
The Solution
One Platform. Complete Agent Governance.
Six core capabilities that give you full control over your AI agent fleet.
Real-Time Observability
Monitor every agent action, tool call, and decision in real time. Full traces with latency, token usage, and outcome tracking.
Policy Governance
Define guardrails with declarative policies. Auto-block unauthorized actions and require human approval for high-risk operations.
Agent Discovery & Collaboration
Agents discover each other via standard Agent Cards and collaborate with full governance. Every delegation, handoff, and agent-to-agent message is policy-enforced and audit-logged.
Protocol-Level Coverage
Governs all three agent protocols — LLM calls, MCP tool invocations, and A2A agent-to-agent communication — at the proxy layer. Framework-agnostic by design.
Immutable Audit Trail
Every agent action is logged with full context. Tamper-proof records for compliance, debugging, and incident response.
Cost Optimization
Track spend by agent, team, and project. Set budgets, get alerts, and optimize token usage with intelligent routing.
How It Works
From Zero Visibility to Scaled Deployment
A four-stage maturity model that grows with your AI agent adoption.
Observe
Connect your agents in minutes. See every action, tool call, and decision across your entire fleet.
- Auto-instrumentation via proxy (SDK coming soon)
- Real-time dashboard with agent activity
- Full execution traces with token-level detail
Assess
Understand risk, performance, and cost across all agents. Identify anomalies before they become incidents.
- Risk scoring for every agent and action
- Cost attribution by team, project, and agent
- Anomaly detection and trend analysis
Guard
Enforce policies and guardrails. Block unauthorized actions and require approvals for high-risk operations.
- Declarative policy engine (YAML/UI)
- Human-in-the-loop approval workflows
- Automatic PII and sensitive data redaction
Scale
Confidently deploy agents across the enterprise with governance baked in from day one.
- Centralized agent fleet management
- Budget controls and cost optimization
- Compliance reports and audit exports
Integrations
Works With Your Stack. No Rewrites.
Three integration patterns to match your needs — from zero-touch to deep instrumentation.
Proxy-Only
Zero-code integration. Point your agent's endpoints through TruePlane's proxy. Covers LLM calls, MCP tool invocations, and A2A agent-to-agent traffic.
SDK
Lightweight SDK for deep instrumentation. Add a few lines of code for full trace context and custom events.
Plugin
Native plugins for popular frameworks — LangChain, CrewAI, AutoGen. Drop-in integration with framework-specific insights.
COMPATIBLE WITH
Early Access
Get Early Access
Join the waitlist to be among the first to try TruePlane. Early users get priority onboarding and a say in the roadmap.