AI Lending Agent
An AI Lending Agent runs the loan flow end to end: application intake, verification, decisioning, offer, and funding, holding at the gates that need a person. It runs the flow; your team owns the credit calls.
Tecla builds it inside your environment and runs it, wired into the loan origination, credit, and verification systems your team already uses.
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The shift underway
Lending is moving online and automating the flow between application and funding, because every manual handoff is a day a borrower can spend with a faster lender. The numbers show how fast that shift is going.
of credit risk organizations expect to implement generative AI within a year.
Source: McKinsey
decision times when the lending flow is automated, from days of manual review.
Source:
Inside the agent
A loan moves through intake, verification, decision, offer, and funding, and each handoff between systems is where days get lost. The agent runs the whole flow end to end, holds at the gates that need a person, and keeps a record of each step.
Application Intake
Verification
Decisioning
Offer & Disclosures
Funding & Record
Human in the loop
The agent runs the routine steps, but it holds at the gates that matter: an underwriter clears policy exceptions, a person approves the offer, and funding waits for sign-off. Nothing irreversible happens in the loan flow without that approval.
Scoped to you
This is a typical lending build. The exact steps are scoped to how your firm runs: the products in scope, your credit policy, the verification data you use, and where a person must approve.
Related agents
Built, run, and owned, one phase at a time
A lending tool that runs a clean test loan can still stumble on the messy, exception-heavy files that fill a real pipeline. A scoped brief, a named team, and someone accountable at each stage are what carry this one into production.
Scope, fixed price
Built into your environment
Monitored and improved
Yours, improving
A build starts with a fixed-price Tecla Sprint that scopes and prices it before you commit.
Reliable enough to run real loan volume
A lending step done wrong means a mispriced loan or a compliance gap, so the agent is built to hold rather than guess. What makes it safe to run is the structure around it: what it can process, what a person approves, and where it stops.
Every step leaves a trail
It holds at every gate
It keeps up with your policy
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Run the loan flow, keep the credit calls
A scoping call maps your onboarding chain and returns what the agent would handle end to end, what escalates to your team, and the fixed-price Sprint to build it.
Fixed-price AI Systems Sprint. No commitment until scope is confirmed.