An AI agent for banks reads the inputs, applies the bank's own policy and credit standards, produces a finished work product, and hands it to a person for review.
Unlike rules-based automation, an agent can keep working when borrower documents arrive in unfamiliar formats or financial statements use non-standard line items.
The practical test is simple: does it produce something a credit officer would actually use?
Connect source systems, load templates and thresholds, validate on real files, then go live with a defined review gate.
Configure the connected workflow from intake through monitoring and validate the complete chain against live volume.
Software that completes a defined banking task end to end and hands a finished work product to a person for review. In commercial lending that typically means reading borrower documents, spreading financials, drafting credit memos or monitoring covenants, with a human approving the result.
A chatbot answers questions. An agent does work. Ask a chatbot about a tax return and it explains what one is. Give an agent the tax return and it extracts the figures, maps them to your spreading template and produces a completed spread.
No. Uptiq’s agents prepare, calculate, draft and flag. Credit decisions stay with named people at your bank, and the approval gates are configurable per workflow.
Uptiq connects to cores, loan origination systems, document repositories and CRMs through more than 100 integrations. Agents read from and write back to your existing systems. Nothing is replaced.
Above 95% on commercial lending documents, with field-level confidence scores. Anything below your configured threshold is routed to a person rather than passed through.
A single agent is typically live in five business days. The full connected suite takes around 30 days. There is no data migration involved.
Both. Smaller banks often see the sharpest gains, because a two or three person credit team feels document and assembly work more acutely than a large department does.
Every agent action is logged, every output traces to its source, and a named person approves the result. The record of what was checked, by what, and who signed off is generated as a by-product rather than assembled afterwards.
Pricing depends on which agents you run and volume. Book a demo and we will scope it against your actual workflow.
Bring a real borrower package, the messier the better. See what the intake, extraction, spreading and memo agents produce.

