How a regulated enterprise got AI on sensitive data approved
A privacy engineering layer gave security and compliance teams measurable evidence, so AI projects could move from pilot to production without data leaving the enterprise.
Case studies
Real projects, the problems behind them and what changed.
Making enterprise AI reproducible, traceable and auditable
A control layer between policy and execution gave governance teams the evidence they needed to expand AI beyond narrow pilots.
A secure AI knowledge assistant that reduced repetitive HR and IT requests
An enterprise assistant trained on company policies gave employees trusted answers and, in pilots, cut repetitive queries and Tier-1 tickets.
Modernizing a SaaS CRM with workflow automation and AWS
A dedicated team added automation, device sync and a resilient AWS deployment so a growing CRM could scale and compete.