The cases below are anonymized presentations of delivered projects. Per client NDAs, names are withheld, but all business contexts, technical solutions, and metrics come from real engagements. Detailed written case briefs are available to qualified prospects upon request.
800+ services scattered across 30+ agency sub-sites with inconsistent design. Over 40% of hotline complaints concerned navigation.
Rebuilt the unified portal with a consistent IA, then layered an AI assistant. Search upgraded from keywords to semantic understanding.
Passed Cybersecurity Classified Protection Level 3. AI deployed on-premises; sensitive data stays in the gov network. 6 security review rounds.
Each quote took 2 hours of manual lookup across 12 process tables. Slow quoting cost large client deals, who expected 24h turnaround.
Structured all process rules, materials, and costs into a knowledge base. LLM-powered interface produces complete quotes in 3 minutes.
The hardest part wasn't the tech — it was knowledge extraction. 4 weeks of interviews with 6 senior engineers to turn experience into rules.
Doctors spent 1+ hours daily on EMR. 8 branches operated in data silos — when patients switched, doctors re-took full history.
Voice-to-EMR + unified 8-branch data. AI plan-matching engine helps new doctors. Decisions remain human-led — AI is assistive, not autonomous.
AI runs on-premises; PII never leaves the clinic. Passed local health authority review. 6 months in production, zero incidents.
12 campuses, 6,000+ students. Parent groups stayed active till 11pm — 70% repetitive questions, but policies differed across campuses.
Per-campus knowledge bases. RAG retrieves from the right KB based on the parent's campus — same question, correct campus-specific answer.
Every answer cites its source. Parents can click to verify the original document. AI never generates new policy — only cites existing ones.