AI Credit Decisioning Agent

An AI Credit Decisioning Agent applies your credit policy to every application as it arrives: it scores the file, clears the clear approvals and declines, and routes the borderline cases with a rationale. It decides the routine; a person owns the exceptions.

Tecla builds it inside your environment and runs it, wired into the loan origination and credit data your team already uses.

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credit-decisioning · live queue
11:20:03Consumer loan #4471 · score and policy applied
11:20:03clears policy, within limits · approval prepared
11:20:05app #4472 · thin file, income unverified
11:20:05borderline: routed to underwriter with rationale
11:20:06every decision logged, reason codes attached
11:20:06queue cleared, exceptions held for a person
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The shift underway

Credit decisioning is moving from batch review to real-time, policy-driven decisions at the point of application. The numbers show how fast lenders are adopting it, and where a person still has to weigh in.

80%

of credit risk organizations expect to implement generative AI within a year.

Source: McKinsey

<60sec

to decide a standard application by policy, versus days for a manual review.

Source: LendFoundry, 2026

How it works

How the agent works

Deciding every application against policy, consistently and with a reason on record, is high-volume work that gets slow and uneven by hand. The agent applies the policy to each file and clears the routine, bringing a person only what needs judgment.

01

Application Intake

Takes each application and its data, credit bureau, income, bank data, into a structured file the moment it arrives, so a decision can start without manual entry.

Reads the application
02

Policy Engine

Applies your credit policy, scorecards, cutoffs, and rules, to every file consistently, so the same criteria are used on every applicant.

Applies the policy
03

Clear or Route

Clears the applications that plainly meet or fail policy with a decision, and routes the borderline and exception cases to an underwriter.

Sorts the queue
04

Reason Codes

Attaches the reason codes and rationale behind every decision, so approvals and declines are explainable and adverse-action ready.

Explains the call
05

Decision Log

Logs every decision, the policy version, and the data used, so the firm holds an examination-ready record of how each call was made.

Keeps the record

Human in the loop

Every decision carries its reason codes and the data behind it, so a person can review any call. The agent clears the routine within your policy, but the borderline cases and exceptions go to a human, and the accountability for credit stays with your team.

Scoped to you

This is a typical credit decisioning build. The exact parts are scoped to how your firm runs: your credit policy and scorecards, the products in scope, the data sources, and where a person must decide.

See what this would look like built around your portfolio operation.
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Related agents

How it reaches production

Built, run, and owned, one phase at a time

A decisioning tool that scores a clean batch can still make inconsistent calls on real, borderline applications. A scoped brief, a named team, and someone accountable at each stage are what make this one dependable in production.

Sprint

Scope, fixed price

We map your credit policy, the products in scope, the data sources, and the exception routing, then return a plan and a price before you commit.

AI Solutions Lead
Build

Built into your environment

Senior engineers build the agent inside your environment, wired into the origination, bureau, and credit data it decides against.

AI Systems Lead
Run

Monitored and improved

The agent adapts as your policy and products change, and we report against the metrics set at scope: applications decided, auto-decision rate, time to decision.

Systems Lead + Engineers
Own

Yours, improving

The system is yours to keep, and it applies the policy you set today, and change tomorrow, instead of hard-coding a rule set that drifts out of date.

Your team

A build starts with a fixed-price Tecla Sprint that scopes and prices it before you commit.

‍ Book a scoping call
How it holds up

Reliable enough to decide real credit

A credit decision made inconsistently or without a reason on record is a regulatory problem, not just an operational one. What makes this one safe to run is the structure around it: the policy it applies, the reasons it records, and the cases it routes to a person.

Reviewed by trajectory

Every decision has a reason

Each decision carries its reason codes and the data behind it, so approvals and declines are explainable and adverse-action ready, not a black box.

Human in the loop

It routes what needs judgment

The agent decides the clear cases within your policy, but borderline files and exceptions go to an underwriter. Judgment on the hard calls stays human.

Tuned over time

It applies one consistent policy

As your credit policy changes, the agent is updated to match, so every applicant is judged by the same current criteria instead of uneven manual interpretation.

Start the build

Decide the routine, keep the judgment calls

A scoping call maps your credit decisioning workflow and returns what the agent would decide and route, how success gets measured, and the fixed-price Sprint to build it.

Talk to us

Fixed-price AI Systems Sprint. No commitment until scope is confirmed.

What credit leaders ask about decisioning

What is an AI credit decisioning agent?

An AI credit decisioning agent applies your credit policy to every application: it scores the file, clears the clear approvals and declines, attaches reason codes, and routes borderline cases to an underwriter. Tecla builds and operates the credit decisioning AI agent inside your environment, so routine decisions are made consistently and a person owns the exceptions.

How is an AI credit decisioning agent different from a rules engine or scorecard?

A rules engine executes the cutoffs you hard-code; a scorecard produces a number. The agent runs the whole decision: it ingests the data, applies policy and score, decides the clear cases, and routes the rest with a rationale. Tecla builds automated credit decisions as a managed layer over the origination stack, not another static rule set to maintain.

Does the credit decisioning agent approve loans on its own?

The agent decides the clear approvals and declines within the policy your firm sets, but borderline files and exceptions route to an underwriter. Judgment on the hard calls stays human, and your team owns the policy and the accountability for every credit decision.

How are the agent's decisions kept explainable?

Every decision carries its reason codes and the data behind it, so approvals and declines are adverse-action ready rather than a black box. This automated credit decisions approach records why each call was made, which is what examiners and regulators expect.

What does Tecla's credit decisioning build cover?

Tecla scopes the build to your firm: your credit policy and scorecards, the products in scope, the data sources, and where a person must decide. Built as an AI decision engine lending teams control, it runs inside your environment and Tecla operates it, updated as your policy changes.

What data and products can the credit decisioning agent handle?

Consumer, commercial, and card applications, using bureau data, income and bank data, and your own attributes, applying credit decisioning automation consistently across every product in scope. The build maps the decisioning workflow your team actually runs.

How is applicant data kept secure?

The agent runs in your environment, integrated with your systems, under your own access rules. Applicant and bureau data stays within the boundaries your firm already answers to, and you own and control the system Tecla operates.

How long does a credit decisioning build take?

A build starts with a fixed-price Tecla Sprint that scopes and prices it before you commit. The Sprint maps your policy, products, data, and exception routing, so the credit decisioning AI agent that follows fits how your firm actually decides.

We have a credit team already. Where does the agent fit?

The agent clears the high-volume routine decisions so the team spends its time on the borderline and exception cases that need judgment. Tecla builds and operates it alongside them, with a reason on record for every call.

How do we get started with Tecla?

A scoping call maps your credit decisioning workflow and returns what the agent would decide and route, how success is measured, and the fixed-price Sprint cost. Book a scoping call with Tecla to start.

Have any questions?
Schedule a call to discuss in more detail.
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