TinyAgentsTemplatesLoan Origination Agent
Loan Origination Agent · agent template

Your team re-keys data, chases missing pages, and reads the same file three times, so approvals crawl and good borrowers walk.

Turn loan applications into decisions in minutes, not days

A team of AI agents runs the full loan file for you. It handles intake, scores credit risk, verifies documents, and returns one clean decision report with a recommendation.

A loan decision in minutes5 agentsNo-code fork
loan-origination.rundone
Origination Leadplan

Splits the file into intake, credit, and document tasks

Intake Readertool

Pulled applicant data, flagged one missing pay stub

Credit Analysttool

DTI 34%, stable employment, risk score 712

Decision reportanswer

Recommend approve, one document flag for review

one run · manager plans, specialists report, you get one answer

The old way

The job, before you had a team for it.

This is the work Loan Origination Agent quietly takes off your plate.

Clerks re-key application data by hand and introduce errors

Underwriters wait on all files before making a single call

Missing or unclear documents freeze the whole application

Manual review drifts, so scoring is inconsistent across files

The team · 5 agents

A team of agents, not one prompt.

A manager agent reads the goal and hands each part to a specialist built for it, then reconciles their work into one result.

Manager agent
Origination Lead

Coordinates intake, credit, and document agents, then merges their findings into one loan decision report

01 · specialist
Intake Reader

Extracts applicant data from forms and files, then flags anything missing or malformed before the file moves on.

02 · specialist
Credit Analyst

Weighs debt-to-income, employment, and financial health signals to produce a risk score and a lending recommendation.

03 · specialist
Document Checker

Confirms the ID, income proof, and bank statements are present and genuine, and scans for tampering or fraud signals.

04 · specialist
Origination Lead

Waits for each specialist, then aggregates their work into a single decision report with flags for human review.

The run

How it runs.

Fork it, point it at your inputs, and let the team work.

STEP 01
Submit the application

Drop in the form and any attached documents for the borrower.

STEP 02
Agents split the work

The lead assigns intake, credit, and document checks in parallel.

STEP 03
Specialists report back

Each agent returns extracted data, a risk score, or a verification result.

STEP 04
Get one decision report

The lead merges findings into a recommendation with flags to review.

See a real run

A credit union processes a personal loan application.

You ask

"Review this personal loan application and tell me if we should approve it."

the team gets to work
You get back
  • Extracted applicant profile with one missing document flagged
  • Credit risk score of 712 with a debt-to-income breakdown
  • Document check confirming ID and bank statements are genuine
  • A single decision report recommending approval with review notes

Where teams put it to work.

01
Credit union lending officer

Approve member loans faster without adding headcount to the team.

02
Fintech lending operations lead

Scale application volume while keeping decisions consistent and auditable.

03
Community bank underwriter

Clear routine files in minutes and focus on complex commercial deals.

What you provide
  • The loan application form and borrower details
  • Attached documents like ID, income proof, and bank statements
  • Your policy thresholds for auto-approval and manual review
What you get back
  • A structured applicant profile with completeness flags
  • A credit risk score with a debt-to-income breakdown
  • A document verification result with fraud signals noted
  • One unified loan decision report with a recommendation
The basics

What is AI loan origination software?

AI loan origination software manages the full loan journey with a team of agents. It handles intake, credit scoring, and document checks, then returns a decision in minutes instead of days.

Instead of one rigid tool, you get focused agents that each own one job. A manager agent merges their work into a single recommendation you can act on.

How is this different from a rules-only lending engine?

A rules engine follows fixed if-then logic and chokes on messy inputs. An AI loan origination agent reads context, extracts data from imperfect files, and adapts, so it handles real-world applications.

You can still keep hard policy rules for limits. Let the agents do the reading, scoring, and judgment that fixed rules cannot handle on their own.

New to this? Read our guide on how to build a sales battlecard.

Questions, answered.

Does the AI make the final lending decision?

No. The agent recommends a decision and flags edge cases. A human approves anything outside your normal thresholds, so your policy and compliance stay in your hands.

How does it keep loan origination compliant?

Every step is logged with inputs, the score, and the reasoning. Consistent scoring and a clear audit trail make regulatory review cleaner than manual files.

Can it catch document fraud?

Yes. The document agent checks that required files are present and genuine, and it scans for tampering or synthetic-identity signals before money moves.

Start here

Fork Loan Origination Agent and make it yours.

Start from a working team of agents, then swap the tools, tune the instructions, and run it in your own workflows.

Fork this template