Paste a Slack thread, drop a meeting transcript, or feed in a screen recording. AutoSOPGen extracts workflows, builds process models, and synthesizes production-ready AI agents — automatically.
AutoSOPGen's 4-layer pipeline transforms unstructured conversations into verified, deployable multi-agent systems.
AutoSOPGen automatically extracts people, tasks, artifacts, and processes from your conversations and builds a rich knowledge graph.
Record your screen, capture a meeting, or drop a session summary — AutoSOPGen ingests it all. Transcripts, action items, and notes flow through the same pipeline as text conversations.
Each process transition becomes an autonomous agent. The system generates an orchestrator with a parallel execution plan and communication protocols.
Every agent comes with complete, runnable Python code including tool integrations, error handling, and MCP server connections.
Don't just generate agents — prove they work. AutoSOPGen auto-generates evaluation benchmarks from your context graph and scores agents on completeness, reliability, and policy compliance.
AutoSOPGen is built on a principled pipeline that separates extraction, synthesis, execution, and self-improvement.
NLP-powered entity extraction, intent recognition, and workflow discovery from raw conversations.
Petri Net process mining, auto-agent generation, tool resolution, and formal verification.
Orchestrated agent execution with parallel scheduling, observability, and production scoring.
Evaluation benchmarks, completeness scoring, and continuous improvement from feedback loops.
From context graph to orchestration — one continuous flow.
Paste any conversation and watch autonomous agents emerge. No setup required.
Launch AutoSOPGen