# AI Readiness Assessment for Medical & Healthcare

> Source: https://ibl.ai/solutions/medical-healthcare/ai-readiness-assessment

5 Questions. 2 Minutes.

## Is Your Organization Ready for AI?

Answer 5 quick questions and get a personalized AI readiness score for your healthcare organization.

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### Question 1: Scale

**How many clinicians and staff need AI access?**

Total headcount who would use AI clinical support, coding, and productivity tools.

- **Under 25** — Small practice
- **25 -- 100** — Multi-provider practice
- **100 -- 500** — Large practice or clinic network
- **500 -- 2,000** — Health system
- **2,000+** — Large health system or academic medical center

### Question 2: Vendor

**What's your current AI vendor situation?**

Where your organization stands today with AI tools and platforms.

- **No AI tools yet** — Starting from scratch
- **Individual experiments** — Clinicians using personal AI accounts
- **Single vendor** — One platform (DAX Copilot, Abridge, etc.)
- **Multiple vendors** — Several tools across departments

### Question 3: Concern

**What's your biggest AI challenge?**

The primary barrier your organization faces in scaling AI.

- **Cost at scale** — Per-clinician licensing explodes with headcount
- **HIPAA compliance** — PHI protection and data sovereignty
- **Vendor lock-in** — Tied to one provider's ecosystem
- **Clinician adoption** — Getting providers to actually use AI tools

### Question 4: Deploy

**Do you need on-premise deployment?**

Some organizations require AI to run entirely within their own infrastructure.

- **Yes, required** — PHI must stay in our environment
- **Preferred for HIPAA** — Compliance requirements make it ideal
- **Open to either** — Evaluating cloud vs. on-premise
- **Cloud is fine** — SaaS deployment works for us

### Question 5: Timeline

**What's your deployment timeline?**

When do you need AI tools deployed across your organization?

- **This month** — Ready to start a pilot
- **This quarter** — Within the next 90 days
- **This year** — In the current fiscal year
- **Just exploring** — Building a business case

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### Your Results

Your score out of 25 determines your readiness tier:

**AI Pioneer (21 -- 25)**

Your organization is ready to deploy AI at scale.

You have the scale, urgency, and infrastructure awareness to move now. The biggest risk is waiting while competitors gain efficiency advantages.

Recommended Next Steps:

1. Start a 30-day pilot with clinical support agents for one department
2. Use the AI Cost Calculator to quantify TCO savings for your CFO
3. Schedule a technical architecture review for on-premise deployment

**AI Ready (15 -- 20)**

Strong foundation — ready to scale with the right platform.

Your organization has clear AI needs and the maturity to execute. Addressing your top concern will unlock rapid organization-wide deployment.

Recommended Next Steps:

1. Run a department pilot to build internal champions and prove ROI
2. Compare your current per-clinician vendor costs against ibl.ai flat-rate pricing
3. Engage clinical and IT leadership in a joint AI strategy session

**AI Explorer (5 -- 14)**

Early stage — but the opportunity is massive.

You're building the case for AI at your organization. Starting with a focused pilot is the fastest way to prove value and get executive buy-in.

Recommended Next Steps:

1. Start free with ibl.ai to demo AI agents to your leadership team
2. Identify one high-impact use case: clinical decision support, medical coding, or prior authorization
3. Build a 1-page business case with our healthcare cost savings data

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### Your Answers

A summary of all your selections is displayed for review.

**Calculate Your Savings** — Link to the AI Cost Calculator

**Retake Assessment** — Start over

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### Your Roadmap

**Get Your Personalized Deployment Plan**

Share a few details and our team will send you a custom AI deployment roadmap based on your assessment results.

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*[View on ibl.ai](https://ibl.ai/solutions/medical-healthcare/ai-readiness-assessment)*