Case studies of integration and AI Agent implementations in real business scenarios
2 articles
Based on the Qeasy intelligent reconciliation platform running in production at a large-scale e-commerce company, this case study breaks down how the AI agent matrix — bill parsing, reconciliation scripting, expense allocation plus a general assistant — compresses monthly reconciliation from days to hours at the 100k-document scale.
A teardown of Qeasy's production agent setup for replenishment: the general assistant, fetch script engineer and compute script engineer working across a four-layer pipeline, with sandboxed scripts, BullMQ queues and human confirmation before writes.
