Himanshu Chauhan
16 years deploying AI across financial services. Helped scale conversational and agentic AI to 50+ banks and insurers across India, the US and the Gulf at Engagely and Uniphore.
Built by senior insurance and AI operators to take global carriers, brokers and health payers from pilot to production - in regulated environments, at enterprise scale.
Yukthi Labs was founded by three operators who spent decades on both sides of the table - inside the boardrooms where insurance strategy gets set, and inside the engineering teams that make AI work in regulated production.
We built Yukthi because every large insurer we worked with had run the same arc: ambitious pilots, eighteen-month timelines, and very little in production. The gap was never ambition - it was a platform engineered for insurance from day one.
16 years deploying AI across financial services. Helped scale conversational and agentic AI to 50+ banks and insurers across India, the US and the Gulf at Engagely and Uniphore.
13 years architecting production-grade ML, data and automation systems, including at Amazon. Builds for regulated environments where accuracy, auditability and uptime are non-negotiable.
30 years in insurance at the most senior levels. Former Chief Digital Officer at Marsh McLennan Asia and MD & Chief Innovation Officer at JLT Asia.
Generic AI platforms configured for insurance after the fact don't reach production. Reusable insurance components - coverage logic, regulatory rules, document intelligence - do.
We don't count pilots, models or workshops. We count agents live in production and decisions made by AI instead of by exhausted teams.
Confidence-based routing, immutable audit logs, and deployment on your infrastructure - so global carriers can scale AI without compromising on compliance.
Tell us the workflow that's costing you the most. We'll show you what it looks like in production.