How an asset finance provider got an honest, independent verdict on its new originations platform before committing further investment.
About our client
Our client is an asset finance provider replacing its RPA-based loan originations platform with a modular solution designed to scale. It had a proposed target-state architecture and an internal architecture team, and wanted an independent view before committing further.
The challenge
- Confirming the architecture could support production-grade automated credit decisioning at current and projected volumes.
- Making sure the design avoided the structural weaknesses of the RPA platform it replaced.
- Validating that the credit decisioning rule engine supported policy change through configuration, not redevelopment.
- Assessing integration patterns, failure handling, foundations and non-functional requirements.
- Checking documentation was complete enough for a new engineer to rely on from day one.
Our approach
- Kick-off and alignment on access, approach and a single point of contact.
- An independent target-state architecture assessment tested against resilience, supportability and load.
- A structured documentation framework review for clarity, completeness and day-one usability.
- Blind usability testing of the client's AI documentation tools.
- One findings report with an overall fit-for-purpose opinion and every finding graded Critical, Major or Minor.
What the client received
- A definitive, independent fit-for-purpose opinion, with every condition and finding rated by severity.
- A clear basis for its next decision: proceed, refine or rethink before committing further investment.
- An assessment of scalability against current and projected volumes.
- Practical recommendations to make documentation usable by new engineers from day one.
- Objective feedback on an emerging AI tooling capability with no external benchmark.
Related
- Advisory: Architecture Review
- Services: Software development
- Industry: Financial Services
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