Yes. Stratyfy is purpose-built for community and regional banks and credit unions. We don’t require a data science team or a 12-month implementation timeline. Your credit and risk teams can operate the tools directly, and your first decision strategy can be live in 2–4 weeks.

Yes. Stratyfy can integrate via API with FIS, Fiserv, Jack Henry, nCino, and other community bank core and LOS platforms. We layer on top of your existing systems — no rip-and-replace. Most community banks are making live decisions within 4–6 weeks of kickoff without changing their existing infrastructure.

In two ways. First, automated small business decisioning makes it economically viable to originate the $50K–$250K loans that drive CRA lending test performance — loans that are cost-prohibitive with manual underwriting. Second, Stratyfy’s compliance tool monitors lending models for bias, so you’re ready for your next exam.

The type of AI matters. Stratyfy’s patent-pending machine learning approach produces decisions that are fully interpretable — meaning every factor and its contribution to every individual decision is documented in plain language. This gives examiners exactly what they need: a clear rationale for every decision, continuous bias monitoring, and a complete audit trail.

Most AI vendors in financial services are either (1) building for the top 50 banks with enterprise-scale requirements, or (2) offering a scoring model that gives you a number without governance, explainability, or the ability to evolve your strategy over time. Stratyfy is a decisioning engine — not a scoring model. It gives you control over how decisions are made, full transparency into why they’re made, and the ability to continuously optimize outcomes. And it’s built specifically so a community bank team can operate it without external consultants or data scientists.