AI Readiness Assessment for Healthcare and Financial Services
Find out how prepared your organization is to adopt AI — and where to start. Curate AI reviews your strategy, data, governance, people, and technology, then hands you a clear, prioritized roadmap.
What We Assess
Strategy & Use Cases
Are AI goals tied to real business outcomes, and which workflows offer the clearest value?
Data Foundations
Is the data behind priority use cases accessible, trustworthy, and well governed?
Governance & Compliance
Do policies, approvals, and controls meet regulatory and internal risk expectations?
People & Skills
Do teams have the skills, ownership, and change support to adopt AI in daily work?
Technology & Tooling
Can your current platforms and security model support AI at scale?
How the Assessment Works
- 1
Kickoff and interviews
Align on goals, then speak with leaders and practitioners across the business.
- 2
Workflow and data review
Map the workflows where AI could help and check the data and controls behind them.
- 3
Maturity scoring
Score each area against our AI Maturity framework to show where you stand.
- 4
Readout and roadmap
Walk through the findings with your leadership and agree on next steps.
What You Receive
- AI maturity scorecard across all five areas
- Prioritized use cases ranked by impact, risk, and feasibility
- Risk and governance gaps with recommended controls
- A 90-day action plan your team can start on immediately
Who It's For
Leaders in regulated enterprises who want to move from scattered AI pilots to governed, measurable adoption. It suits teams that have started experimenting with AI but lack a shared view of priorities, risks, and readiness.
Related reading: our AI Maturity framework, AI Governance framework, and The Two-Body Problem brief.
AI Readiness Assessment FAQs
What is an AI readiness assessment?
A structured review of your strategy, data, governance, people, and technology that shows how prepared your organization is to adopt AI safely and where to start.
How long does the assessment take?
Scope depends on the size of your organization and the number of teams involved. We agree on the timeline with you during kickoff so it fits your planning cycle.
Who from our team should take part?
Typically an executive sponsor, leaders from the business teams that would use AI, and representatives from IT, data, security, and compliance.
How is this different from a technology audit?
A tool audit looks at software. Our assessment starts with the workflows your people run and the business outcomes you need, then checks whether data, governance, and skills can support them.
Is it built for regulated industries?
Yes. We focus on Healthcare and Financial Services, so privacy, auditability, and model risk are part of the review from day one rather than an afterthought.
What happens after the assessment?
You keep the scorecard and roadmap. Many clients move into AI Workflow activation on the top-priority use cases, but the roadmap is yours to run with or without us.