From live conversation to structured process model — in the meeting, not a week later. The same artifact humans read and agents execute.
Three steps from conversation to execution — with guardrails at every level.
Live audio from any browser tab — or paste a transcript. The agent listens, distills, and proposes structured changes. No screen recording, no manual reconstruction.
Every process node carries agent briefs, validation rules, escalation conditions, and output definitions. Agents don't guess — they execute against enterprise-grade guardrails.
Any AI assistant — Copilot, Claude, Codex — connects via MCP or REST API to read processes, propose changes, and brief agents. One protocol, every platform.
Not just capture. Every failure feeds back into the process model — so the next agent does better.
Audio or transcript flows through the LLM bridge. DPL actions appear as ghost-diffs on the canvas — always human-approved before commit.
Every task node carries its own agent brief, input/output schema, escalation conditions, and output quality definitions. The agent knows what done looks like.
Every agent execution logs a feedback event. Cross-task analysis traces downstream failures to upstream gaps. Suggested improvements flow back into the process model. Your organisation learns.
Human seats are flat. Agent interactions are metered — that's where the value lives.
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