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Manual vs automated credit underwriting: what to automate, and what must stay with people.
“Automated underwriting” can mean a model that decides, or software that prepares the file so a person can decide faster. They are not the same thing.
| Step | Manual | Automated preparation, human decision |
|---|---|---|
| Document collection | Over email, chased by phone | Collected on WhatsApp or a portal, checked on arrival |
| Data extraction | Typed into spreadsheets | Statements, GST, ITR, bureau and AA data in one file |
| Calculations | Each analyst’s own sheet | The same calculations every time |
| Policy fit | Checked by the analyst, deviations found in committee | Placed in your policy bands, deviations flagged with the reference |
| Memo | Written from scratch | Drafted with every line cited |
| Field report | Arrives days later | Photos and GPS on file the same day |
| Decision | Credit officer and committee | Credit officer and committee |
What should stay with people
- The credit decision and any exception to policy.
- Judgement on mitigants a ratio cannot capture.
- Reading doubtful field reports and borrower explanations.
- Committee discussion and the conditions of sanction.
How to decide
If your bottleneck is file preparation and uneven memos, automate preparation and keep the decision human. If you are considering fully automated decisions, discuss model governance and explainability with your risk and compliance teams first.
How AutoCredit does it
AutoCredit is built for lenders’ credit and operations teams. Bank statements, GST returns, ITRs and KYC are collected on WhatsApp or a portal; bureau and account-aggregator data is pulled where consent allows. Banking, obligations, FOIR and GST trends are computed the same way for every analyst. The file is placed in your policy bands with deviations flagged, and a credit memo is drafted with every line cited to the document it came from. Field agents file a checklist, photos and GPS from their phone the same day, and the memo updates when the report lands. Credit officers and the committee decide; nothing is sanctioned by a model. The sanction is written to your LOS or LMS through the APIs you open.
Questions
What is automated credit underwriting?
Software that collects documents, extracts data, computes ratios and drafts the credit memo. It can also mean models that decide, which is a separate choice with its own governance.
Should loan decisions be fully automated?
That is a policy and governance choice for each lender. Many keep the decision with credit officers and automate the preparation around it; discuss it with your risk and compliance teams.
What is the biggest time saving in underwriting?
Usually file preparation: collecting documents, extracting data and building the same calculations by hand.
See it on your own data. AutoCredit — The credit memo, drafted and cited. Book a 30-minute working session with an engineer.