Trace

Trace is an operational intelligence layer that maps how your company actually works and uses that understanding to coordinate AI agents and human decision-makers. Its primary purpose is to create a shared, continuously updated model of your processes, data flows, and responsibilities so that automation can be deployed safely, transparently, and across departments. By connecting to existing tools and systems, Trace provides a unified context that both humans and AI can rely on to execute work consistently and at scale.

Trace builds a graph of your organization’s operations, including workflows, approvals, ownership, and dependencies, and keeps it current as your business evolves. It allows teams to define policies, guardrails, and decision criteria that AI agents must follow, ensuring compliance and alignment with business rules. The platform supports cross-system workflows, routing tasks between AI and humans based on risk, complexity, or required judgment. Detailed observability features—such as execution traces, audit logs, and performance metrics—let you inspect how decisions were made, measure impact, and continuously refine automations.