Exemplar provides a governance and control plane for AI agents, enabling enterprises to adopt generative AI while keeping agent actions safe, attributable, and interruptible. The platform enforces configurable autonomy policies across engineering and product workflows, ensuring risky actions don't run by default. It includes a harness that governs agent behavior across release, runtime, compliance, and incident workflows, with tamper-evident audit trails.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Teams are adopting AI agents for software engineering and product work, but lack a control layer to decide how much autonomy each agent path should have. Without this governance, agents can take unsafe actions—like promoting code, rotating secrets, or scaling infrastructure—without proper approvals, audit trails, or the ability to interrupt them, creating operational and compliance risks.
Solution
Exemplar builds a control plane that sits between intent and execution for AI agents, enforcing configurable autonomy as policy rather than culture. The platform provides a harness that governs agent actions across release, runtime, compliance, and incident workflows, with structured gate failures that let agents retry with corrected context. It includes shell and filesystem allowlists, MCP and prompt tool allowlists, and behavior guards driven by live signals, all backed by tamper-evident event history. The harness can block unsafe promotions, serialize destructive mitigations, gate write actions behind approvals, and cap blast radius for cost cleanup—ensuring agents operate within defined boundaries. Exemplar also offers an 8–12 week Applied program to help enterprises build production-ready agents with configurable autonomy.
Target Audience
Primary customers are enterprise engineering and platform teams deploying AI agents in production, as well as DevOps and governance leaders who need to control agent autonomy across software factories and day-2 operations.
Features
- Shell and path allowlists with filesystem boundaries to restrict agent execution scope
- MCP and prompt tool allowlists with context rules for safe tool usage
- Behavior guards driven by live signals that adapt autonomy based on blast radius
- Tamper-evident audit trail recording every agent action with named ownership
- Structured gate failures that return specific reasons (e.g., which gate failed) so agents can retry with corrected context
- Blast-radius caps, including max replica limits, hourly delete caps, and budget guardrails for cost cleanup
- Isolated execution environments for secret rotation and cross-region change enforcement with co-signer approvals
- Propose-only mode for work that should never touch production without human approval