Case study
Multi-Cloud Governance with Luce
A multi-cloud governance solution for a financial services organization managing complex AWS/GCP hybrid infrastructure with automated compliance and cost optimization.
Production AI and data systems that survive contact with reality.
Everyone is piloting AI agents. Almost nobody can prove theirs are safe, accurate, and ready for real users. Luce closes the two gates AI initiatives die at — data your agents can't see, and agents nobody can trust — with evals, guardrails, and observability wired in before launch. Dubai-based, shipping globally.
Trusted across financial services, luxury, crypto, and engineering
I keep client engagements confidential. The work spans Fortune 500 financial institutions, luxury maisons, crypto platforms, family offices, and industrial operators.
- Financial services
- Luxury maisons
- Crypto platforms
- Family offices
- Industrial operators
Selected work
Anonymized case studies from production data and AI platforms — billion-event streaming, zero-downtime migrations, fraud detection at scale, multi-cloud governance, and self-service BI. Numbers I can defend, NDA details on request.
What we do - Production AI and data platforms, end to end.
I design the architecture, ship the system, and stay on through production hardening. Most work falls into four buckets:
- Production Readiness & Rescue. Independent assessment for AI that demos but won't ship. Evals that prove accuracy, guardrails that bound behavior, and observability that shows what the agent saw, decided, and did. Concrete remediation, not slideware — starting with a free 45-minute Readiness Read.
- Production Agentic Systems. Multi-agent workflows, conversation, detection, and recommendation systems that survive real users — monitoring, fallbacks, retraining, and cost controls wired in before launch, not after.
- AI-Ready Data Stacks. Real-time streaming, lake/warehouse architectures, and DBT pipelines built to feed downstream AI without rework. Designed for billion-event scale from day one.
- Cloud & Data Governance. Multi-cloud Terraform foundations, GDPR/compliance frameworks, and metadata catalogs that pass audit on day one and stay passing as the platform evolves.