Multi-agent workflows — cognitive agents, deterministic steps, MCP tools, human gates — composed on the Workflow Canvas, executed durably, protected by inline Data Protection Guards on every step, and ready to graduate into an AutoLet™.
A Governed Workflow reads from and acts on your systems through tenant-scoped connectors; every step passes policy and data-protection guards inline; and the finished workflow is itself a versioned source an AutoLet™ can be compiled from.
Every agent declares how it executes. Deterministic: a pre-authored DAG that replays faithfully. Cognitive: the LLM picks tools at runtime inside a first-class Cognitive Loop node — every tool decision policy-gated and chain-sealed, bounded by iteration and cost caps. Hybrid: a deterministic head and tail around a cognitive body — “always authenticate first, always seal evidence after.” Human approval pauses the loop mid-reasoning and resumes on decision.
The canvas runs on a durable execution engine: every step is a replayable activity with bounded retries and timeouts, approvals and signals survive restarts, and any run can be reconstructed exactly. Import existing workflows from legacy orchestrators with an honest, per-field conversion report.
A governed workflow is a multi-agent workflow where governance executes inline with the work: every step passes a deterministic policy check and Data Protection Guards before and after it runs, consequential steps pause for human approval, and every event seals to a hash-chained audit record.
Yes. The Cognitive Loop is a first-class node: the LLM selects tools at runtime, but every tool decision passes a deterministic policy gate before and after execution, the loop is bounded by iteration and cost caps, and each decision emits a sealed audit event — so even the model’s choices are on the record.
A proven workflow registers as a versioned source. The AutoLet compiler creates an agent whose skill set and topology are fixed by that source, keeps the source as the agent’s ground-truth baseline and judge, and the agent earns autonomy against it stage by stage — demoting automatically on drift.
Yes. Prove7 converts workflows from legacy orchestration platforms into governed workflows, with a conversion report that states exactly what mapped cleanly and what needs review — no silent loss.
If you’re the one who answers when the machine acts — a CISO, a CFO, a COO — watch Prove7 Control Vector™ take an agent from discovered to governed to proven, live.
Schedule a Demo →