The control plane for teams shipping AI work into production.
PilotWeave helps operators design, supervise, and run agentic workflows with the kind of visibility, guardrails, and handoff discipline that real businesses need.
Composable workflow canvas with agent, tool, trigger, and policy layers.
Approvals, guardrails, credentials, and scorecards built into the flow.
Runs, overrides, compensation, and replay tools for production recovery.
Every run keeps the reasoning surface, decisions, tool calls, and rollback options visible to operators.
Human-in-the-loop by default
Approvals, escalation paths, and role-aware controls keep the operator in the conversation instead of bolting them on later.
Operational depth, not demo gloss
Replay, compensation, overrides, scorecards, and runtime policy are already treated as first-class product surfaces.
One place to supervise the system
Connectors, credentials, triggers, runs, and workflow design sit inside the same mental model.
More like an operating layer than a single workflow screen.
That’s the direction that feels most aligned with your product already. The strongest front end here isn’t just prettier screens — it’s a tighter story about trust, supervision, and execution.
Design step graphs and copilot-assisted flows.
Inspect timelines, replay incidents, and recover safely.
Set provider policy, approvals, and budgets.
Manage MCP, accounts, credentials, and triggers.
Clean, confident, and operator-first.
This gives PilotWeave a stronger first impression right away: darker foundation, sharper contrast, tighter hierarchy, and a clearer product story with the same underlying app underneath it.