Fintech · 6 November 2026
Creditinfo and TaranDM Partner on Configurable Credit Decisioning
Creditinfo and TaranDM have announced a partnership to offer banks, fintechs and telcos configurable credit decisioning across multiple markets. The deal was reported by Finextra.
What happened
Creditinfo, a global provider of credit information and risk management solutions, has announced a partnership with TaranDM, an enterprise-grade credit risk decision engine. The collaboration is designed to bring flexible, customisable credit decisioning to banks, fintechs, telcos and other lenders across multiple markets.
The partnership pairs Creditinfo's credit information and risk management expertise with TaranDM's decision engine. The aim is to give lenders more control over how credit decisions are configured, rather than accepting a one-size-fits-all approach.
The announcement was reported by Finextra, which framed the deal as an expansion of credit decisioning capabilities for banks and telcos.
Why it matters
Credit decisioning is where operational technology meets the customer. The speed, clarity and consistency of an approval or refusal shape how people feel about a lender long after the transaction is over. When decision logic is configurable, lenders can in principle adjust criteria and workflows as their markets, products and customer segments change, without rebuilding their systems each time.
The deal also signals how lenders are thinking about modernisation. Telcos and fintechs moving into credit need decisioning that can be adapted to new markets quickly, and the appeal of a configurable engine lies in shortening that path. For digital transformation leaders, the question is less about which engine is chosen and more about whether the decision rules can be governed, explained and changed by the people who own the customer outcome.
The Renascence take
Most coverage of partnerships like this focuses on the technology stack and the markets covered. The more useful question is who can see and change the decision logic once it is live. A flexible engine that only data science teams can edit will still produce slow, opaque outcomes for customers, however modern the architecture looks.
Customisable decisioning is only an experience advantage if the people closest to customers can change it safely. Lenders should map every credit decision to the moment a customer feels it, from the first application through to a refusal or a counter-offer. Treat decision rules as a service design asset, with clear reason codes, plain-language explanations and feedback loops that show whether the rules are creating fairness or friction.
Sources
This briefing was written by our Newsdesk, synthesising reporting from the outlets below. Follow the links for the original coverage.
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