FlowGen Labs
FlowGen provides an AI platform that connects directly to existing ERP systems to build a contextual process graph of all enterprise workflows, then converts those processes into natural-language operating procedures that autonomous agents execute inside the ERP. The system continuously learns from exceptions and user feedback, enabling self-healing procedures that improve with every transaction. Built for precision-heavy tabular data environments, it targets industries like oil and gas, life sciences, and manufacturing with use cases spanning order-to-cash, procure-to-pay, and record-to-report.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Industrial Automation
- Manufacturing / Industry 4.0
- Software Only
Funding
Founders
Product
Problem
Enterprises running legacy ERP systems struggle to automate complex operational workflows because their processes are buried in configuration, custom code, and undocumented exception routes. Traditional automation initiatives require lengthy discovery phases, expensive consultants, and extensive workshops to codify institutional knowledge, delaying value delivery and leaving critical processes manual and error-prone.
Solution
FlowGen connects directly to an enterprise's existing ERP in place, eliminating the need for workshops or consultants, and reconstructs the full operational context into a living process graph. This graph maps every workflow, decision tree, and exception route based on transaction history and data lineage. FlowGen then converts those processes into Agent Operating Procedures—natural-language workflows that are readable, editable, and auditable, which autonomous agents execute directly inside the ERP at machine speed. The platform features agent-to-agent coordination across the entire process landscape and a self-healing mechanism that continuously adapts procedures based on user feedback, rule changes, and exceptions, enabling operations that compound in intelligence with every transaction.
Target Audience
Primary customers are large enterprises running legacy ERP systems in oil and gas, life sciences, hi-tech, and manufacturing that seek to automate complex operational processes without replacing their existing infrastructure.
Features
- In-place ERP integration that captures enterprise ontology directly from configuration and custom code without multi-quarter discovery phases or consulting engagements
- Contextual Process Graph reconstructs all workflows, exception routes, and decision trees from transaction history and data lineage, surfacing process bottlenecks in a living map
- Agent Operating Procedures convert processes into natural-language workflows that are readable, editable, and auditable, executed inside the ERP with intelligence purpose-built for tabular data precision
- Self-healing procedures that automatically feed exceptions and process changes back into the system, adapting to user feedback, rules, formats, and edge cases in real time
- Use-case-specific automation across order-to-cash, procure-to-pay, plan-to-produce, and record-to-report, with vertical capabilities for oil & gas upstream, midstream, and downstream operations
- Industry adapters for life sciences (gross-to-net, quality, serialization), hi-tech (supply, deal desk, revenue operations), and manufacturing (production, supply chain, finance)