Blueprints and engineering strategies for scaling enterprise AI from pilot to production.
The lessons from standing up our own US-grade product org in Chennai and how they shape the way we build yours. What DocuFindr taught us about retention, clinical context, IP ownership, and what it actually takes to ship healthcare AI from India.
Three India entry models, one decision that determines IP ownership, HIPAA posture, and whether your India program compounds value or just cuts the burn rate. A practical framework for US healthcare firms in 2026.
Beyond the badge: the controls, the BAA timing, and the operating habits that separate real healthcare compliance from a checklist.
The 10-40 seat healthcare wedge the large integrators can't economically attend to, and how to win in it.
Why attrition quietly destroys offshore value, and what a retention culture that survives a transfer actually looks like.
A GCC analogue: how interoperability deadlines change the build-vs-buy math for health-tech engineering capacity.
Drive cross-border healthcare data interoperability with universal standards, strong security, and global partnerships for better outcomes.
Cross-border payments are now faster, cheaper, and more transparent. This is thanks to blockchain and real-time payment technology.
Learn why well-funded software projects still fail—poor planning, weak execution, and misaligned teams revealed.
No 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.
Thomas leads 10decoders' AI engineering practice and sits in on the scoping call himself — so the person mapping your engagement is the one who has shipped it before. His teams build and deploy agents for mid-market healthcare and fintech companies, with enterprise grade build experience for clients like IBM, Dedalus and Harris Healthcare. He'll be straight with you about what's worth doing and what isn't.
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