Ankur A. Patel(@aapatel09):Most agentic AI demos are easy. Production agents in credit union and community bank lending workflows are hard. They need evals that test the whole workflow, not just the final answer. Regulation. Auditability. Document understanding. Exception handling. And a clear sense of when to stop and hand off to a human. That last part is the whole game. A 95% extraction score still fails if the agent can't tell which 5% to flag for a loan officer. So we build the boring parts: logs, evals, permissions, rollbacks, human review queues. The boring parts are the product. Building this at @MultimodalAI. Following along here.

2026.06.22 13:57

Most agentic AI demos are easy. Production agents in credit union and community bank lending workflows are hard. They need evals that test the whole workflow, not just the final answer. Regulation. Auditability. Document understanding. Exception handling. And a clear sense of when to stop and hand off to a human. That last part is the whole game. A 95% extraction score still fails if the agent can't tell which 5% to flag for a loan officer. So we build the boring parts: logs, evals, permissions, rollbacks, human review queues. The boring parts are the product. Building this at @MultimodalAI. Following along here.