Vamshi Jandhyala
An AI agent is only as good as the data and tools it can reach.
I make enterprise data and APIs agent-ready, the reliable and governable foundation that agents act on.
After two decades leading the data platforms and APIs that large financial institutions run on.
Writing and prototypes
- Series Agent harness design The product concerns that decide whether an enterprise agent is reliable: the data it knows, the tools it acts through, and the limits on what it may do.
- Essay Agent-ready financial data The architecture that gives an enterprise agent context it can be trusted to act on.
- Case study Tax Policy Navigator Making a generative answer trustworthy enough to act on: grounding, evaluation, and refusal in a regulated domain.
- Prototype AgentScope Making a multi-agent run legible at a glance, including the one run in a thousand that fails.