Start with the work
We begin with the decision, workflow, and outcome—not a model looking for a use case.
About BodhiContextAI
Focused AI work for the distance between demo and dependable.
We help enterprises build the human capability and operational context that production AI requires.
AI becomes useful when it understands both contexts.
BodhiContextAI began with a simple observation: an enterprise can have excellent models and still struggle to produce dependable outcomes. The gap usually sits in two places.
The people building AI need production engineering context: architecture, evaluation, operations, security, and the judgment to make tradeoffs. The AI systems themselves need enterprise context: entities, relationships, policies, permissions, real-time state, and evidence.
We work on both sides of that gap. Our bootcamp builds engineers who can ship. Our context layer gives enterprise agents a governed understanding of the work.
AK
Founder
Amit Kayal
Amit builds AI-first, cloud-native enterprise platforms and turns complex systems into products people can understand and trust. His work spans agentic AI, enterprise architecture, and AWS-native systems, including production agent fleets, model-routing cost optimization, and AI-led workflow automation.
At BodhiContextAI, he leads the product and learning direction—keeping every engagement close to a real enterprise workflow and a measurable outcome.
Connect with Amit on LinkedIn ↗How we work
Practical standards for serious systems.
Make evidence visible
Quality, provenance, evaluation, and operational signals belong inside the product.
Leave capability behind
Your team should understand, own, and extend what gets built.