Your credit team should spend its time on credit judgment
The same borrower keyed into three systems. Documents chased for weeks. A memo that is not hard to write but is hard to assemble. We map the borrower package from first inquiry through decision, automate the collecting, re-keying, chasing and reformatting, and keep approval with credit.
The analysis is the smaller part of the day
Fighting old systems, uploading data and chasing documents is the larger one. The Federal Reserve's Small Business Credit Survey found that 37 percent of small employer firms applied for a loan, line of credit or merchant cash advance in the 12 months before the 2023 survey, down from 40 percent a year earlier.
| Re-keying | The same borrower data entered into the CRM, the origination system and the spreadsheet, by an analyst. |
|---|---|
| The document chase | Bank statements, returns and financials trickle in over weeks while the file waits. Credit is waiting on the borrower; the borrower thinks credit is waiting on them. |
| Assembling the memo | Finding, spreading and formatting what goes into the memo takes longer than the judgment it supports. |
| Dropped conditions at closing | Conditions tracked in email threads. The one that slips is the one nobody owned. |
| Portfolio surprises | Covenant tests and ticklers run late or not at all, so intervention comes after the breach. |
| Dead files stay dead | Declined and stalled borrowers are never revisited, though circumstances change. |
The Borrower Intake & Credit Operations Workbench
Integrates with the origination system you have rather than replacing it. Nonbank, private and specialty lenders and established brokerages first.
- 01
The front of the pipeline
More funded opportunities from the inquiries and referrals you already get.
- Response to every inquiry, with referral and partner tracking
- A rules-based pre-screen checklist with a plain summary, and no eligibility decision made by a model
- Conversational intake with a secure checklist and a missing-item chase
- 02
Document intake, spreading and underwriting support
Structured data out of the package, with the evidence to check it, and more analyst time for judgment.
- Classification and extraction into a structured borrower file, original retained, a citation on every field
- Spreading into your approved template, with tie-outs and confidence flags an analyst validates
- Industry research, questions, sensitivity tables and a first-draft memo for the credit professional who owns the analysis
- 03
Closing, portfolio and pipeline
Fewer dropped conditions, earlier intervention, and a pipeline you can read.
- Conditions and checklist orchestration with task routing and borrower updates
- Covenant and tickler monitoring, renewal reminders, financial collection and exception alerts
- Pipeline and turnaround analytics: fallout reasons, cycle times, referral return. For brokers and private lenders, a lost-pipeline and database revenue-recovery build on the same rails
The same core, cut for a credit team
| Who is in the room | A credit team keying the same borrower into three systems. |
|---|---|
| Demo documents | Tax returns, bank statements, rent rolls, credit agreements. |
| The automation scenario | Application intake and the missing-item chase. |
| The guardrail | No model output becomes an eligibility or credit decision. |
| The forbidden claim | Any statement of approval, rate or terms. |
| The seasonal peak | The fiscal year-end pipeline, built in summer. |
Formats, weeks and labs are on the training page.
Every eligibility and credit decision field is deterministic and human-signed. The model drafts, extracts and ranks with citations. It never becomes a decline reason, and adverse-action reasons are written by the people responsible for them.
- Eligibility and credit decisions: credit professionals, always
- Adverse-action reasons: specific and human-authored
- Borrower information: handled under a written information-security program and never pasted into a public model
- Commercial debt placed through our affiliated commercial lending brokerage under a separate engagement, with written disclosure
- Adverse action under Regulation B
- Appendix C to Regulation B supplies the Consumer Financial Protection Bureau's sample adverse action notices for business credit, Forms C-7 and C-8. That is why every decline reason on this page is written by a person. CFPB Regulation B, Appendix C
- Third-party risk
- The June 2023 Interagency Guidance on Third-Party Relationships, issued by the Federal Reserve as SR 23-4, sets out how banking organizations are expected to manage third-party relationships, including those with financial technology companies. It is why we integrate with a lender's systems rather than host its customer data. Interagency third-party risk guidance
- FTC Safeguards Rule
- Finance companies and mortgage lenders are among the nonbank financial institutions the Safeguards Rule covers, which is why a written information-security program sits under the workbench. Federal Trade Commission
Start with a workflow review
Forty-five minutes, no obligation. We map where preparation is eating judgment in your practice and tell you what to install first.