Solution

Policy Rule Checks & Eligibility Decisioning

For chief credit officers, underwriting teams and lending operations at banks, credit unions and non-bank lenders: every file tested against the full rulebook, with cited evidence behind each result.

Credit policyLoan applicationsFinancial statementsCredit reportsProduct guidelines
Every rule result cited to file evidenceEvery decision human-approvedSame policy applied identically to every file

The problem

Why this exists

2 analysts

Two answers from one rulebook

The policy is written down, yet a hundred pages of borrower documents leave room to miss things — so outcomes vary by reviewer.

Buried

Exceptions found in QC

Silently waived thresholds surface months later — in quality control, in audit, or in the portfolio.

Weeks

Policy changes reach desks slowly

A revised threshold travels by memo and retraining. Some files are still being decided on the old rules.

The product, not a promise

A decision file you can interrogate

Policy Rule Checks & Eligibility Decisioning — workspace
DSCR vs. policy minimum1.31 vs 1.25 · passcited
LTV against product ceiling78% vs 80% · passcited
Credit history criteriaAll pass · cited to reportcited
Entity documentationComplete · verifiedcited
Global cash flow below threshold — exception queued for credit officerverify
HUMAN-APPROVED BEFORE IT POSTS

How it works

File in. Answer out.

  1. 1

    Intake

    Load the complete borrower file — application, financials, credit reports, supporting documents.

  2. 2

    Extract

    Pull the data points your policy actually tests: income, leverage, collateral, history, entity facts.

  3. 3

    Check

    Run every credit policy rule, eligibility criterion, and product constraint against the file.

  4. 4

    Route

    Pass moves forward; failures and exceptions queue for review with the triggering evidence attached.

  5. 5

    Decide

    A credit officer approves, declines, or grants the exception — with the full rule trace in front of them.

Who it's for

Built for the people who own the outcome

Credit analyst

Open a file with the rule work already done.

  • Decision-relevant values extracted and tested before you read page one
  • Each pass, fail and exception cites its source page
  • Your time goes to judgment, hunting eliminated

Chief credit officer

One policy, applied the same way on every file.

  • Consistency across analysts, branches and volume spikes
  • Exceptions become deliberate, documented decisions
  • A policy update takes effect on every file at once

Risk & compliance

A queryable record of consistent policy application.

  • Policy version, rules fired, evidence, reviewer and outcome — all logged
  • No auto-approve or auto-decline; every decision named to a human
  • Exam requests answered from the record, without reconstruction
Commercial banksCredit unionsSBA lendersEquipment financeNon-bank lendersConsumer lending
Every ruleresult cited to file evidence
Human-approvedno decision leaves without sign-off
Exceptionsrouted with context, not buried
Repeatablesame policy applied to every file

Credit policy is written down; applying it is where the inconsistency creeps in. Two analysts read the same file against the same rulebook and reach different conclusions, because a hundred pages of borrower documents leave room to miss things. This solution makes the policy check mechanical, so the judgment can be human.

Every rule, every file, every time

Botminds extracts the decision-relevant data points from the complete borrower file — income and cash flow from financial statements, obligations from credit reports, collateral and entity details from supporting documents — and tests them against your credit policy, eligibility rules, and product constraints. Each rule returns a clear result: pass, fail, or exception, with the evidence that produced it cited to the source page in the file.

Nothing is silently waived. A file that fails a debt-service threshold or falls outside a product’s constraints is routed to a credit officer with the triggering rule, the extracted values, and the source documents in one view. Policy exceptions become deliberate, documented decisions instead of things discovered later in QC. And because the same rule set runs identically on every file, decisioning is consistent across analysts, branches, and volume spikes.

Regulator-ready by construction

Eligibility decisions get examined — by internal audit, by investors, by regulators. Every check the platform runs is logged: which policy version, which rules fired, what evidence supported each result, who reviewed it, and what they decided. Fair and consistent application of policy stops being an assertion and becomes a queryable record. The platform never auto-declines or auto-approves on its own; every decision is human-approved, made faster because the rule work arrives already done and already cited.

Objections, answered

What teams ask us first

Does this make credit decisions on its own?

No. It returns pass, fail, or exception for each rule, with the evidence cited to the source page. A credit officer approves, declines, or grants the exception, and that sign-off is logged. Nothing is auto-approved or auto-declined.

Our credit policy is ours — how does it get into the system?

Your thresholds, eligibility criteria and product constraints are expressed as explicit rules against the extracted fields. The rule set is versioned, so you always know which edition of the policy decided which file, and updating a rule takes effect on the next file processed.

How is this defensible to examiners?

Every check is logged: which policy version ran, which rules fired, what evidence supported each result, who reviewed it, and what they decided. Fair and consistent application of policy becomes a queryable record rather than an assertion.

How long before it runs on live files?

The rule engine starts on your real files alongside your current process. Most teams compare its rule results against analyst decisions on recent files first, then move the live queue once the results line up.

Bring your rulebook and one hard file.

Watch every policy rule run against it live — pass, fail and exception, each cited to the page that triggered it.

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