Automating 500+ business workflows with AI — saving $500K+ annually.
A mid-market logistics company was running critical operations — invoice processing, shipment exceptions, compliance checks, and customer communications — through a combination of manual spreadsheets, email threads, and disconnected SaaS tools. Each workflow required human intervention, creating bottlenecks, data entry errors, and significant operational costs. Leadership needed a way to automate these processes intelligently without replacing their existing software stack.
Conducted structured process mining sessions across six operational departments to identify and document 500+ repeatable workflows suitable for AI automation, ranked by ROI potential.
Built a LangChain-based orchestration layer that uses LLMs to understand unstructured inputs (emails, PDFs, forms) and route them through appropriate automated workflows — handling edge cases intelligently.
Integrated with 12 existing business systems (ERP, CRM, TMS, accounting software) via REST APIs and webhooks, enabling automated data flows without replacing any existing tools.
Designed exception handling that routes low-confidence decisions to human reviewers with context, ensuring automation handles the 95% while humans handle nuanced edge cases efficiently.
FlowAI now processes over 500 distinct business workflows autonomously — from invoice matching and exception handling to compliance reporting and customer notifications. The system handles 95% of cases without human intervention, with 99.7% accuracy. The remaining 5% are routed to humans with full context, making even exception handling faster than before.
We had no idea how many of our daily operations could be fully automated until Qodeon Labs mapped them out. The platform now handles tasks that used to require three full-time employees, and the accuracy is better than manual processing. It's been the highest-ROI technology investment we've made.