A proven AI foundation for credit analysis, configured for your institution.
Credence is not an off-the-shelf tool. It is a customisable engine we deploy and shape to your credit workflows, data sources, and regulatory environment, so your team gains an AI capability built around how they actually work.
There are three ways to bring AI into credit. Most institutions get stuck on two of them.
Building from scratch takes 18 to 24 months, substantial ML engineering, and deep domain knowledge of credit risk.
A generic AI platform hands the hardest work back to you, integrating your core banking system, encoding your credit policy, handling the document types your analysts actually work with.
We bring a purpose-built foundation, an agentic reasoning engine, an evidence and citation architecture, on-premises deployment. Then we configure it: to your institution, your policy, your regulatory environment.
Test AI. Learn AI. Own it.
Every bank is being asked to adopt AI. The real question is where to start safely.
A pilot on your own decided files
A one-to-two week workshop maps your data sources, credit policy and document types. Then a three-to-four-week pilot re-runs credit files you have already decided, against success criteria agreed up front. You see what AI really does on your own numbers, before any commitment.
We build it with you, not for you
Your credit officers put your policy into the playbook; your IT stands up and runs the system. You evaluate output produced against your actual files, not a demo of someone else's configuration.
The bank owns the result
Deployment into your environment, integration with your systems, and the knowledge to extend it. The bank owns the playbook, the logic and the result, and your team can take it to the next workflow.
The foundation is built. What we do together is the configuration.
No two deployments of Credence look identical, because no two credit teams, data environments, or regulatory contexts are the same. The foundation makes the build faster and lower-risk. The configuration work is where the real value is created.
What we've configured Credence for
Each of these started with the same foundation and was shaped for a specific workflow. Yours would too.
Full case automation
End-to-end construction of credit files, financials spreading, bureau data, policy checks, recommendation memo, with every fact cited to its source.
High-volume, lighter documentation
Adapted for greater throughput, smaller ticket sizes, and the specific risk signals that matter at the SME level.
Customer onboarding workflows
Reconfigured for onboarding rather than credit assessment, with AML checks integrated into the evidence chain.
Statements to committee-ready numbers
Extracts financial statements and maps them onto your own spreading template, with ratios and footing computed by code, never by AI. Every figure links to its source cell, with one-click Excel export.
One credit file, start to signed.
From our Arabic-configured deployment.
Credit analysis is not a commodity workflow.
It is shaped by decades of institutional knowledge, local regulation, and risk appetite. The value of working with us is not only Credence, it is the judgment we bring to configuring it. We translate your institution's expertise into a system your credit team will actually rely on.
What we bring to each engagement is experience from document-heavy, tightly regulated credit cultures, applied to your specific situation, not a product roadmap that may or may not reach the capabilities you need.
Tell us about your credit workflow.
We'll tell you whether Credence is a fit, what a configuration engagement would involve, and what outcomes we'd measure it against.
Start a conversationOr email us directly at info@reveryware.ai