Financial services provider, owner-led
We automated preliminary application checks
An owner-led financial services provider wanted to identify incomplete applications before substantive review and keep the checks traceable.
| Industry | Financial Services |
|---|---|
| Services | AI Agents, AI Governance |
Missing attachments interrupted case handling
Applications reached the team through an intake portal and follow-up messages. Attachments arrived later, sometimes under different names or assigned to the wrong case. Case handlers only discovered missing documents when they began substantive review. They then had to set the case aside and prepare follow-up questions.
The existing checklist helped with clearly identifiable document types. Free-form file names and inconsistent forms still required manual reading. Automatic approval could easily have blurred the difference between present, readable and substantively sufficient. The business owners wanted to preserve exactly this distinction when adding technical support.
The agent needed to make completeness checks traceable
Our task was to build an agent for preliminary document review. It would assign documents, flag identifiable gaps and draft follow-up questions. Case handlers remained responsible for substantive assessment and communication. With compliance and data protection staff, we defined the intended purpose and examined its classification under the EU AI Act and GDPR for this specific use.
Every finding linked to the document concerned
Incoming documents were assigned to a case
The workflow captured attachments and their processing status. Unclear assignments went to case handlers before documents were analyzed together.
Business owners could maintain review rules
Binding requirements came from an approved rule catalog. The language model helped recognize document contents and could not change the requirements itself.
The review interface showed source references
Missing information and contradictions appeared with their source, location and review status. Uncertain recognition remained explicitly visible to case handlers.
The audit trail recorded processing steps
Rule versions, model versions, review results and human corrections were recorded traceably. Log access and retention followed the agreed data protection plan.
Case handlers and compliance examined edge cases
We started with sanitized cases the team had already processed. Case handlers explained why an attachment was sufficient in a given case or needed a follow-up question. In regular reviews, we compared their assessments with the agent’s results. Contradictory documents and hard-to-read scans received dedicated test cases.
With compliance, we examined in particular whether preparation could preempt the later decision. The agent had no creditworthiness assessment or rejection function. Human approval was not treated as blanket proof of a particular risk classification. Open classification questions remained with the responsible legal staff.
For operations, we restricted data access to the required cases and agreed on deletion rules. Follow-up questions were initially created as drafts. Case handlers could correct flags and explain why a document was accepted. These corrections informed the business owners’ revisions to the rule catalog.
Case handlers received completeness flags with evidence
The team could take over prepared cases with a clear list of open points. Documents submitted later could be checked again without repeating the entire search. Substantive decisions remained with case handlers. For later questions, the record showed which documents had been available and who had reviewed or corrected a flag.
Traceable reviews need sources and clear responsibilities
Present does not yet mean sufficient
Use review statuses that distinguish a missing attachment from an unreadable one or one that needs substantive assessment.
Changes in purpose need reassessment
Adding applicant evaluation or prioritization later changes the review’s scope and must be assessed separately.
Logs need restricted access
Define who needs review histories and which contents must be stored for traceability.
A first conversation takes 30 minutes.
We discuss which completeness checks in your application intake can be clearly bounded and supported by evidence.