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Score your firm across four dimensions: strategic alignment, data & infrastructure, governance & protection, and adoption, then see exactly where the gaps are before AI becomes part of your everyday workflows.
The pressure to adopt AI is real. Teams want efficiency, and vendors promise transformation. But for regulated firms, accelerating adoption before guardrails are in place creates unnecessary risk.
Recent priorities from FINRA (Financial Industry Regulatory Authority) highlight growing attention around governance, supervision, data handling, and operational risk as firms explore emerging technologies.
This means that when it comes to AI readiness, firms need to understand whether their data, policies, permissions, and oversight structures are prepared to support responsible use.
AI success starts with a clear understanding of business goals, risk tolerance, and organizational readiness. This section helps assess whether leadership priorities, teams, and expectations are aligned around how AI should support the firm.
A high score suggests shared direction and internal momentum. A lower score could mean your goals aren't clear or you have limited alignment across teams.
AI is only as effective as the data behind it. This section helps you understand how accessible, organized, and governed your information is — and whether your environment is prepared to support AI responsibly.
A strong score suggests your data is accessible and structured for AI to deliver value. Lower scores may point to fragmented systems or unmanaged data sprawl.
AI tools are powerful — but without the right guardrails, they can expose sensitive information in ways firms don't expect. This section looks at how well your policies, permissions, and protections support responsible AI use.
Strong governance helps AI surface information safely and securely. A lower score here could mean you're at high risk for data exposure or compliance violations.
Even the most capable AI tools deliver limited value if people aren't prepared to use them effectively. Adoption depends on clear expectations, training, and support across the firm.
A high score suggests your teams are well prepared and ready to adopt AI. A lower score says your training, ownership, or change management planning still need attention.
*Don't overlook your "Not sure" answers. These can highlight areas where visibility, ownership, or governance may still need attention.
Now you've got a clearer picture of where your firm stands. Here's our take on what it means.
| Total Score | Readiness Level | What It Means |
|---|---|---|
| 18–22 | AI‑Ready | You have a strong foundation for AI adoption. Now it's about refining your roadmap and building on what's already in place. |
| 12–17 | Getting Close | You're headed in the right direction, but a few gaps may slow progress. Focused improvements can strengthen readiness and reduce risk. |
| 0–11 | Needs Work | There's room to improve — and that's where planning helps. Getting the basics right creates a stronger path for future AI adoption. |
Whether you're exploring strategy or preparing for broader adoption, the team at Coretelligent can help address your firm's specific AI goals and governance requirements.
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