An AI agent for equipment finance is software that completes a defined origination or servicing task end to end: it reads the inputs, applies your credit policy and structure rules, produces a finished work product, and hands it to a person for review. Unlike a chatbot, it does the work rather than describing it. Unlike a scorecard or rules engine, it copes with documents and situations it has not been explicitly programmed for.
Equipment finance sits in an awkward middle. Small ticket runs on speed and volume, where a decision has to cost very little and arrive in minutes. Middle market and structured deals need genuine credit analysis on financials that arrive in whatever form the applicant happens to keep them. Most lessors run both, with the same credit team and the same platform, and the second category is where the backlog forms.
Agents close that gap. They take the analyst work that does not require judgement, which means application-only decisions clear faster and larger deals get real analysis without waiting in a queue behind them.
Connect the source systems, load your templates and policy limits, run a sample of real files against known outcomes, review the differences and go live behind a defined review gate.
The connected workflow from application through monitoring, with handoffs configured and tested against live volume.
There is no data migration and no platform replacement. The work is configuration and validation.
Bring a live application package, the messier the better. We will run it through the intake, extraction, spreading and write-up agents and show you the output next to what your credit team would have produced by hand, with the turnaround time alongside it.
