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Customer success story · Aditya Birla Finance

From 12 days to 3: How AI transformed loan due diligence

Aditya Birla Finance partnered with CredStack to automate loan-level due diligence across Credit, Legal, Technical, and Operational checks—expanding risk coverage while reducing the time and cost of review.

See CredStack in action

70%

lower operational cost

100%

due diligence coverage

12 → 3

days due diligence TAT

130+

parameters evaluated

The challenge

More loans to review. More risk to cover.

High operational cost

Manual extraction, verification, and analysis required significant operational capacity.

Limited risk coverage

Manual processes constrained how comprehensively every loan could be reviewed.

Slow processing

Multiple checks and hand-offs meant due diligence could take up to 12 days.

The solution

One AI layer across four dimensions of due diligence.

Credit

Identify inconsistencies, policy exceptions, and credit risk indicators.

Legal

Extract and validate legal documentation and surface exceptions for review.

Technical

Convert technical and valuation reports into structured diligence parameters.

Operational

Check document availability, consistency, compliance, and operational parameters.

How it works

From documents to decision-ready diligence.

DocumentsUnderstandCross-verify130+ checksExceptionsHuman reviewDecision
Docustack are tackling one of the most complex challenges in securitization and risk reduction at ABFL. This has led to almost 60% improvement in efficiency while significantly mitigating risk by enhancing the coverage of due diligence.

Arun V. · Head of Product, Aditya Birla Finance

The fundamental shift

Let AI review everything. Let people focus on what requires judgment.

Before CredStack

Manual extraction, individual checks, multiple teams, and manual consolidation constrained both speed and coverage.

With CredStack

  • Every loan evaluated against the configured diligence framework
  • Exceptions and red flags surfaced for focused review
  • Deeper diligence made scalable without increasing operational effort