AI readiness in commercial-loan document intake
Assess the handoffs before automating the work.
The workflow being assessed
In this hypothetical bank, loan operations receives a commercial-loan document packet, checks it against bank-approved product requirements, resolves missing or inconsistent items, and records clearance. The assessment covers document completeness and exception coordination, not underwriting or credit approval.
- 01
Receive
Record the packet
- 02
Compare
Use the checklist
- 03
Flag
Draft exceptions
- 04
Review
Human decision
- 05
Resolve
Retain evidence
Where assistance could fit
| Stage | AI may assist with | People retain responsibility for |
|---|---|---|
| Intake & review | Classify documents; extract visible fields; link each item to its source and version. | Confirm access rights, checklist applicability and ambiguous or unreadable content. |
| Exceptions | Draft missing-item flags, a review summary and a proposed follow-up. | Verify every flag; decide exceptions; approve any borrower communication. |
| Resolution | Maintain a draft queue and prepare a source-linked handoff. | Clear exceptions, record rationale and approve any change to the system of record. |
Intake & review
- AI may assist with
- Classify documents; extract visible fields; link each item to its source and version.
- People retain responsibility for
- Confirm access rights, checklist applicability and ambiguous or unreadable content.
Exceptions
- AI may assist with
- Draft missing-item flags, a review summary and a proposed follow-up.
- People retain responsibility for
- Verify every flag; decide exceptions; approve any borrower communication.
Resolution
- AI may assist with
- Maintain a draft queue and prepare a source-linked handoff.
- People retain responsibility for
- Clear exceptions, record rationale and approve any change to the system of record.
A worked exception: the reporting period does not match
Assumed input
The checklist asks for a signed statement for the required reporting period. The sample packet contains a prior-period statement, and no signature is located in the reviewed material.
Draft output
“Reporting period differs from the checklist; signature needs review.” Each flag identifies the file, version and page. Failed extraction is marked “unable to determine,” not treated as proof that an item is missing.
Human action
The reviewer confirms the requirement, checks the source, approves any request for updated material, and records the resolution. AI does not waive the requirement or clear the exception.
Readiness comes before the build
These are assumed findings for the example, not findings about any real bank. Each gap has an owner and evidence required before a test can proceed.
| Assessment area | Assumed condition | Required action / evidence |
|---|---|---|
| Ownership | An operations sponsor exists; authority to clear exceptions is unclear. | Loan operations names a workflow owner, reviewer, backup and exception decision-maker. |
| Information | Checklist versions vary; packets can contain superseded or unreadable files. | Workflow owner approves one product-specific checklist and a versioned document inventory. |
| Access & privacy | Borrower data is sensitive; the proposed tool and access scope are not approved. | System and data owners approve access, retention and logging rules. Start with synthetic records. |
| Human control | Flags may be uncertain; uploaded documents may contain misleading instructions. | Reviewer checks source evidence. Treat document text as data, not instructions. Uncertainty goes to manual review. |
| Adoption | Reviewers have no tested review routine or fallback instructions. | Operations lead tests the review queue, trains users, records feedback and preserves the manual process. |
| Value & proof | No reliable baseline or agreed acceptance thresholds exist yet. | Sponsor and reviewers define baseline, test cases, acceptable error levels and decision rules before build. |
Ownership
Illustrative- Assumed condition
- An operations sponsor exists; authority to clear exceptions is unclear.
- Required action / evidence
- Loan operations names a workflow owner, reviewer, backup and exception decision-maker.
Information
Illustrative- Assumed condition
- Checklist versions vary; packets can contain superseded or unreadable files.
- Required action / evidence
- Workflow owner approves one product-specific checklist and a versioned document inventory.
Access & privacy
Illustrative- Assumed condition
- Borrower data is sensitive; the proposed tool and access scope are not approved.
- Required action / evidence
- System and data owners approve access, retention and logging rules. Start with synthetic records.
Human control
Illustrative- Assumed condition
- Flags may be uncertain; uploaded documents may contain misleading instructions.
- Required action / evidence
- Reviewer checks source evidence. Treat document text as data, not instructions. Uncertainty goes to manual review.
Adoption
Illustrative- Assumed condition
- Reviewers have no tested review routine or fallback instructions.
- Required action / evidence
- Operations lead tests the review queue, trains users, records feedback and preserves the manual process.
Value & proof
Illustrative- Assumed condition
- No reliable baseline or agreed acceptance thresholds exist yet.
- Required action / evidence
- Sponsor and reviewers define baseline, test cases, acceptable error levels and decision rules before build.
Illustrative decision: fix the prerequisites, then test a bounded assist
Do not approve production automation. Resolve checklist, ownership, access and measurement gaps first. Then consider a Build & Prove Sprint limited to source-linked completeness flags and draft follow-up, with every output reviewed. No credit scoring, underwriting, lending approvals or autonomous borrower messages are in scope.
What a useful test would have to prove
Compare AI-assisted review with a reference sample checked by reviewers: net reviewer handling time including corrections; missed exceptions and false alarms; accuracy of source references; and reviewer use of the queue and fallback. Define the sample and acceptance thresholds before testing. No targets or results are asserted here.
Proceed only if quality, controls and operating value meet the agreed criteria. Refine if errors are correctable; pause for access or control failures; stop if a simpler process change solves the problem better.
Have a workflow worth examining?
EAIS’s AI Workflow Readiness Audit helps identify what is worth testing, what needs fixing first, and what evidence leadership needs for a build/no-build decision. Scope and recommendations depend on the workflow.
Explore the AI Workflow Readiness Audit