Case Study - Multi-Product Fintech

Fintech reduced manual case reviews by 70 percent

An international fintech used the AI Data Room to assess high-value onboarding applications. After deployment, manual case reviews fell by 70 percent and time-to-yes shortened.

Risk Llama onboarding data room connecting application documents, evidence and review records

The Impact

Results from the onboarding review workflow

These results apply to the onboarding workflow and operating context described in this case study.

70%

Fewer manual case reviews

Shorter

Time-to-yes for high-value customers

The Problem

Fixed onboarding rules delayed complex applications

An international fintech operating multiple products encountered onboarding delays as it expanded into new jurisdictions.

Pain Point

Fixed rules missed edge cases

The existing automation handled applications that followed common patterns. Applications outside those rules required a separate manual assessment.

Pain Point

High-value applications stuck in review

Roughly 10 percent of high-value applications got stuck in manual review, frustrating customers and delaying revenue.

Pain Point

Changes required engineering

Adjusting risk parameters or changing data providers required engineering support. The onboarding team could not update the workflow directly when requirements changed.

The Solution

Risk Llama prepared edge cases for analyst review

The deployed workflow combined document analysis, configured risk appetite and recommendations while keeping the final onboarding decision with the company’s analysts.

Intelligent Orchestration

Prepare cases beyond fixed rules

The orchestration workflow prepared applications that did not fit the existing pass or fail rules. Analysts received the case information for review before making a decision.

Connected application records showing risks, objectives and indicators used in an edge-case review
AI-assisted onboarding assessment showing pass, partial and fail results with supporting checks

The AI Data Room

Check documents against risk appetite

The AI Data Room analysed passports and bank statements against the company’s configured risk appetite. It returned recommendations and supporting checks for analysts to verify.

Powered By

Powered by the AI Data Room

The AI Data Room supports document assessment workflows for onboarding, due diligence and underwriting in Risk Llama.

Risk Llama

Prepare onboarding edge cases for human review

See how Risk Llama applies configurable checks to onboarding documents and returns recommendations for analysts to verify.

See it handle your edge cases. Book a live demo.