●BankGPT — computer-use automation
Give an AI agent hands inside apps with no API.
Discover a back-office UI flow once with an LLM, distill it into a typed capability artifact, then replay it deterministically — with human approval for risky actions and live-session handoff when automation gets stuck.
01 — Discovery
The model drives once
An LLM drives a real browser through a back-office flow — observing the accessibility tree, one structured model call per step — until it reaches the goal.
02 — Artifact
The run becomes a contract
The successful run is distilled into a typed, versioned capability artifact: inputs, outputs, locator fallbacks, checkpoints, expected business outcomes. A human reviews it before risky use.
03 — Replay
Zero model calls
A calling agent invokes the capability with typed inputs and gets back typed outputs, a known business outcome, or a debuggable failure — deterministically.