Start with one decision
Define one borrower segment, product, evidence set and required output before expanding the scope.
Credit Process
Prepare business credit decisions from scattered evidence in one controlled workflow
Connect applications, company documents, approved data sources and lending policies. AI assistance can structure evidence, run defined checks, surface exceptions and prepare a decision package for authorized review.
The operating problem
Too much analyst time goes into assembling the case
Business credit teams may move between application data, customer documents, internal systems, approved external sources and policy rules before assessment can begin.
Missing or inconsistent evidence creates manual follow-up. A controlled workflow can bring the inputs, checks, exceptions and source references into one case prepared for review.
Capabilities
What the business credit workflow can include
Start with one bounded credit decision. The selected product, borrower segment, evidence requirements, systems and approval model determine the exact scope.
Intake and requirements
Bring application data and required documents into a consistent case record, then identify missing items for the selected process.
Company, identity and eligibility
Apply the institution's company, identity and preliminary eligibility rules using approved data.
Financial and document evidence
Extract and organize the financial and supporting information required for analyst review.
Approved-source validation
Compare submitted information across documents and approved internal or external sources, then surface inconsistencies.
Policy, risk and exception checks
Run the applicable risk, fraud, AML-CFT and lending-policy checks defined by the institution, and route exceptions for follow-up.
Review-ready decision package
Prepare a structured case summary with evidence links, check status, flags and a draft recommendation for authorized review.
Process pattern
From application intake to authorized review
This example shows a business credit case. Adapt the evidence, checks and decision points to the selected product and policy.
Receive the application
Create one case from application data and the submitted document package.
Check completeness
Compare received evidence with the requirements for the selected product and borrower segment.
Structure the evidence
Extract relevant company, identity and financial information and keep its source attached.
Validate approved sources
Compare case data across the approved internal and external sources required for assessment.
Apply checks and handle exceptions
Run institution-defined checks, surface mismatches and route only the affected evidence for follow-up.
Prepare authorized review
Assemble the evidence, check status, exceptions and draft recommendation into the required decision package.
Process controls
Keep the workflow bounded, traceable and reviewable
Use institution-defined controls
The institution defines the applicable rules, thresholds, decision points and exception paths.
Trace outputs to evidence
Keep important fields, checks and draft recommendations connected to the documents or data used.
Preserve human authority
Authorized reviewers retain the approval, override and escalation responsibilities defined by the institution.
Questions
Credit process FAQ
Which credit processes can this support?
Begin with one bounded process and borrower segment. Personal, Micro-SME, corporate and leasing decisions use different evidence and controls, so each variant needs its own defined scope.
Does AI make the credit decision?
The workflow can prepare evidence, check status, exceptions and a draft recommendation. Decision and approval rights follow the institution's policy and governance model.
How are exceptions handled?
Define the evidence required for each check, the conditions that trigger follow-up and the reviewer or escalation path. Only the affected part of the case needs to return for additional evidence.
How does this fit our existing systems?
Connect the approved application, document, data and decision systems needed for the selected process. Confirm the integration scope before implementation.
How do you address governance?
Define source provenance, data-quality controls, evaluation, review, override and escalation for the selected workflow. The implementation should make those controls visible to the authorized team.
Start with one decision
Map one business credit decision from evidence to authorized review
Bring the application, evidence requirements, source systems, institution-defined policies and review path. We can use them to define a bounded first implementation.