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Solutions · AI-driven decisioning

Win the right customers - before your competitors decide faster.

Prospecting is a decisioning problem: who to make an offer to, at what terms, through which channel, right now. DecisionX runs it in real time, on governed data and models - so growth doesn't come at the cost of compliance.

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The problem: offers built on stale lists and static scores.

Campaign lists cut quarterly, one-size pricing, and marketing data that risk hasn't blessed. By the time an offer lands, the customer's situation has changed - and the institutions decisioning in real time have already made a better one. Meanwhile, every new data source for targeting raises a fair-lending and permissible-use question that takes months to answer.

  • Real-time pre-qualification

    Decision eligibility at the moment of interest - website, branch, or partner channel - using bureau and internal data at the point of decision, not a list from last quarter.

  • Contextual offers & pricing

    Response and profitability models feed strategies that set terms per prospect. Consumer-level pricing, tested for impact before it ships.

  • Governed data use

    Role-based access and upstream data governance in the Data Vault mean marketing can only build on permissible data - fair-lending questions get answered by design, not by audit.

  • Test-and-learn at production speed

    Champion/challenger strategies deploy in one click with guardrails enforced. Measure lift, iterate weekly, keep the audit trail automatically.

Why it works on DecisionX.

Prospecting strategies are stitched from governed components - approved features, validated response models, plain-English rules - and deploy direct to production with no recode. The result the business sees: 10–20% customer growth from better, faster contextual decisions.

See prospecting decisioning on your book.

Bring a campaign you wish had gone out faster we'll show you the governed version, live.

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