To change credit policy rules without waiting months for IT, take the rules out of your core banking or origination code and put them in a no-code decision engine your risk team controls. IT connects the engine to your data and channels once. After that, the risk team edits rules in a visual editor, tests each change on past decisions, and deploys a new version after the bank's normal sign-off. Konan, the credit decisioning platform from Synapse Analytics, is built for exactly this.
In many banks, credit rules are written into the loan origination or core banking system. So a change of one cut-off becomes an IT project: a written spec, development, testing and a slot in the release calendar. Meanwhile the risk team, which knows what needs to change, can only wait. The fix is to separate who decides the policy from who runs the systems.
IT doesn't disappear. It sets up the platform where your regulator requires (on-premise, private, public or sovereign cloud, or air-gapped), connects data sources such as credit bureaus and open banking, and runs security. The difference is that this happens once, not for every rule change.
Usually because the rules are coded into the origination or core banking system. Each change then needs a spec, development, testing and a release slot, even for a single cut-off.
Yes, once the rules live in a no-code decision engine. In Konan, risk teams build and edit policies in a visual editor and test them on past decisions before going live.
Run the new policy against historical applications and compare approval and bad rates with the current one. Konan runs these simulations without affecting live decisions.
They should. In Konan every policy change is versioned and every decision is logged with the rules and scores behind it. The bank keeps its own approval steps.
IT deploys the platform, connects data sources such as credit bureaus and open banking, and owns security. It does this once, not for every rule change.
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