Representative engagements. Names and figures anonymized where clients asked us to.
Financial Services
Compliance reporting, from three weeks to three days
Challenge. A mid-size lender compiled its quarterly regulatory reports by hand — four analysts, three weeks, and a spreadsheet chain nobody fully trusted.
What we did. We built an AI-powered compliance pipeline that pulls from their core systems, flags anomalies for human review, and assembles the report with a full audit trail.
87%less time to produce each quarterly report
0reporting errors found in the first two audit cycles
4→1analysts needed per cycle; three redeployed to advisory work
Logistics
One ERP where five systems used to argue
Challenge. A national freight operator ran finance, dispatch, inventory, and HR on separate systems that disagreed daily. Month-end close took eleven days.
What we did. We rolled out our Complete ERP in phases over nine months — dispatch first, finance last — migrating data with zero-loss checkpoints and training every depot on their own workflows.
11→3days to close the books each month
99.4%inventory accuracy, up from 91%
9 mophased rollout with no operational downtime
Healthcare
A patient-line chatbot that knows when to stop talking
Challenge. A private health network’s call center spent most of its day on appointment changes and billing questions, while urgent calls waited in the same queue.
What we did. We deployed a RAG-based assistant grounded in their own policies, with hard escalation rules: anything clinical or distressed goes straight to a human, with context attached.
64%of routine enquiries resolved without an agent
2.1 minfaster average pickup for urgent calls
100%of clinical topics escalated to humans, by design