Multi-agent pipeline that replaced 6 manual review workflows
Built a production orchestration system with eval-first architecture. Reduced review time from days to minutes while maintaining accuracy SLAs.
To maintain client confidentiality, the company and industry in this case study have been anonymized. The underlying solution is the same.
The problem
The client’s compliance and content review team was processing thousands of items per week across six separate manual workflows. Each workflow had its own tooling, its own spreadsheet trail, and its own definition of “done.” Reviews that should take minutes were taking days.
What we built
We designed a multi-agent orchestration system where specialized agents handle discrete review tasks in parallel: classification, policy checking, summarization, and escalation routing. The system is eval-first: before any agent logic was deployed to production, we built a test suite against historical review decisions and established accuracy baselines.
A lightweight human-in-the-loop layer handles edge cases and low-confidence outputs. Everything else runs automatically.
Results
94% reduction in review time. Zero hallucination-driven errors flagged in 8 months of production use. The compliance team now handles 3× the volume with the same headcount, because the system handles the volume, and humans handle the judgment calls.