Case Study

Automated Borrower Risk Rating and Credit Grading Platform for a Regional Bank

Automated

Policy-Consistent Grading

Eliminated

Manual Variability

Cost Overruns

0 %

Scalable

Without Added Headcount

Client Snapshot

Industry

Banking & Financial Services

Client Type

Larger Regional Bank

Scope

Borrower risk rating · Credit grading automation · Compliance documentation

Platform

IBM DB2 · Microsoft SQL Server · CapStream Loan Origination

Engagement

Application Development · Credit Architecture Integration

The Challenge

Credit grades at this bank varied based on who assigned them. Different credit officers applying the same policy to the same borrower reached different conclusions creating inconsistency across the portfolio that was invisible in day-to-day operations but became an acute compliance problem during examiner reviews. Examiners expected institutions to demonstrate that their credit risk ratings were applied consistently and in accordance with documented policy.
Credit administration teams were spending disproportionate time resolving grading disputes between officers rather than making portfolio-level decisions. The disagreements were not about judgment they were about inconsistent application of policy that a well-designed system should have been enforcing automatically. The problem was structural, not behavioral.
Compliance documentation for credit ratings was produced manually after the fact, assembled by analysts who had to reconstruct the rationale for individual rating decisions from notes and memory. This created documentation gaps that were difficult to defend during examinations and required significant staff time before each review cycle.
The manual grading process created a hard ceiling on credit book growth. Expanding the portfolio meant proportionally expanding the credit administration headcount responsible for rating new borrowers a cost model that was unsustainable as the bank pursued organic growth.
The risk rating solution had to integrate with the bank's broader credit architecture including the loan origination, credit reporting, and compliance systems that consumed borrower-level grade data without creating new integration maintenance overhead for the IT team.

The PiTech Solution

Designed and developed a Risk Rating application that produces policy-consistent, automated borrower-level credit grades directly from the bank's credit data applying the institution's grading policy algorithmically and producing the same outcome for the same borrower data regardless of who initiates the rating.
Built the application to generate structured documentation for every rating decision capturing the data inputs, policy rules applied, and resulting grade in a format accessible to compliance teams and examiners without requiring analyst reconstruction after the fact.
Integrated the Risk Rating system with the bank's IBM DB2 and Microsoft SQL Server environments and connected its output to the CapStream Loan Origination system ensuring that borrower-level grades flowed automatically into origination, credit reporting, and compliance workflows rather than requiring manual re-entry.
Designed the grading engine to be maintainable by the bank's internal team with clearly documented policy rule configuration, version control for policy changes, and an audit log that captured every rule update and its effective date. Policy changes could be implemented and documented in the system without requiring application rebuilds.
Validated the system against a representative sample of historical ratings before production deployment, confirming that the automated output aligned with the institution's intended policy application and resolving the calibration differences that had produced the manual inconsistency in the first place.

Results That Matter

Automated, policy-consistent borrower credit grading across the full portfolio the same policy inputs produce the same grade every time, eliminating the officer-to-officer variability that had been creating compliance exposure.

Credit administration teams shifted from dispute resolution and manual grading work to portfolio decision-making a structural productivity improvement that compounds across every loan cycle.

Credit book growth is now decoupled from credit administration headcount growth. The platform scales with portfolio volume without proportionally scaling the staffing cost of the rating process.

Delivered on time and on budget, zero cost overruns with a clean handover to the bank's internal team supported by comprehensive policy configuration documentation and an operational runbook.

Technology Stack

Databases

IBM DB2 (primary data store), Microsoft SQL Server

Loan Origination

CapStream Loan Origination (integrated output consumer)

Application Design

Risk rating engine, policy rule configuration framework, audit log

Compliance

Automated rating documentation, policy version control, examiner-ready reporting

Why PiTech

PiTech treats credit grading automation as a compliance problem first and a technology problem second. The examiner scrutiny a credit rating system attracts is the same scrutiny PiTech builds for in federal audit environments which means the solution is designed from the start to produce outcomes regulators recognize and documentation auditors can follow.

Ready to achieve results like these?

Talk to PiTech. Federal-grade delivery discipline. Deep domain expertise. Zero cost overruns.