Your AI Readiness Score

AI Readiness Score
Is AI right for your community bank or credit union?

If you're asking that question, you're already ahead of the curve. Leading institutions are using AI to improve efficiency, elevate member experiences, and create real competitive advantages. But not every institution is ready to adopt AI right now, and that's okay.

Take our 60-second AI Readiness Assessment. Answer a few quick questions and instantly get your score across five key dimensions: technology infrastructure, data readiness, regulatory compliance, team capability, and strategic fit. You'll see exactly where you stand — and whether now is the right time to move forward or if it makes sense to focus on other priorities first.

Want more? Enter your email to receive a personalized report with actionable next steps tailored to your results, whether that means exploring AI further or concentrating on what matters most for your institution right now.

Zero barriers. Zero pressure. Total clarity.

Click the Next button to start your free assessment.

1. Does your institution have a clear, documented strategic vision for how AI can support your overall business goals and mission?

Yes, it's defined, integrated into our business plan, and championed by leadership.We've discussed it informally, but a formal strategy or executive champion is still emerging.We're just beginning to explore the concept of AI's strategic role.AI is not currently a strategic priority, or discussions haven't progressed.
2. How comfortable is your institution with piloting new technologies and iterating on solutions in a "test and learn" environment?

A. Very comfortable; we have established processes for innovation and pilots.B. Somewhat comfortable; we're open to it, but it's not a regular practice.C. Not very comfortable; we prefer proven solutions with minimal risk.D. Highly risk-averse; innovation cycles are typically slow.
3. How would you describe the accessibility, centralization, and quality (accuracy, completeness) of your institution's data across different departments and systems?

A. Our data is high-quality, largely centralized (e.g., data warehouse), and easily accessible.B. Data quality is generally good, but significant silos or some inconsistencies still exist.C. Data is highly fragmented across many disparate systems, with notable quality issues.D. We lack a clear understanding of our data landscape or its quality.
4. Do you have established data governance policies and practices in place (e.g., data ownership, security, privacy, retention, and usage guidelines)?

A. Yes, a comprehensive and actively enforced data governance framework is in place.B. We have some policies, but they are inconsistently applied or incomplete.C. Data governance is largely informal or non-existent.D. Unsure or not applicable.
5. Is your current IT infrastructure (e.g., cloud capabilities, computing power, API integration tools) capable of supporting AI workloads and analytics?

A. Yes, we're using modern architecture ready for AI and scaling.B. Partially; we may need upgrades or specific integrations for AI initiatives.C. Our infrastructure is largely legacy and would require significant overhaul for AI.D. We haven't assessed our infrastructure for AI readiness.
6. To what extent does your workforce and leadership possess a basic understanding of AI and its potential impact on their roles and operations?

A. High awareness and a general understanding across the organization, viewing AI as empowering.B. Some awareness, but understanding varies significantly, with mixed views on AI's impact.C. Limited awareness; many employees are unfamiliar or apprehensive about AI and change.D. Unsure; no internal assessment or training has been conducted.
7. Do you have access to or plans to acquire specialized AI talent (e.g., data scientists or AI engineers) for future initiatives, or robust strategies for upskilling existing staff?

A. Yes, we have existing talent or a clear recruitment/upskilling plan.B. We recognize the need, but have no concrete plan yet.C. We plan to rely entirely on external vendors/consultants, or haven't considered this.D. This has not been a consideration.
8. Have you identified and prioritized specific pain points or opportunities within your operations where AI could deliver significant value (e.g., loan processing, fraud detection, customer service, or member insights)?

A. Yes, we have clearly defined and prioritized specific AI use cases with potential ROI.B. We have some ideas, but they aren't fully defined, prioritized, or linked to quantifiable value.C. We haven't deeply explored specific AI use cases yet, and no AI efforts are underway.D. Not applicable.
9. Has your institution already implemented any AI tools or are you actively piloting AI-driven solutions (e.g., chatbots, automated fraud detection, or process automation)?

A. Yes, one or more AI-driven tools are currently in use or being scaled.B. We're actively in a pilot phase, or in late-stage vendor discussions.C. No AI efforts are underway yet, beyond initial exploration.D. Not applicable.
10. Does your institution have a clear understanding of, and processes for evaluating, the evolving regulatory landscape for AI in financial services (e.g., fair lending, data privacy, and/or model risk management)?

A. Yes, we actively monitor and use a defined compliance framework for AI tools and vendors.B. We're generally aware of these issues but need to deepen our understanding and formalize processes.C. We are not actively monitoring AI-specific regulations or compliance issues.D. Unsure or not currently a focus.
11. Are you prepared to implement processes for ensuring responsible AI governance, including managing ethical implications, potential biases, and ensuring explainability/interpretability of AI models?

A. Yes, we have a robust framework for ethical AI, bias detection, and explainability, or it's in active development.B. We are aware of the concerns and are starting to address them, but processes are not yet formalized.C. This is a significant concern we haven't formally addressed yet.D. Not currently in place or not a focus.
First Name* Last Name*
Score
Want your detailed report + personalized recommendations? Enter your email.
example@example.com
Should be Empty: