AI Readiness Assessment

AI readiness is not a binary state — it's a spectrum, and understanding where your business sits on that spectrum determines how you should approach AI investment. Businesses that overestimate their readiness waste money. Businesses that underestimate it miss opportunities.

The Four Dimensions of AI Readiness

1. Data Readiness

AI needs data. The questions to ask yourself:

• Do you have structured data about the processes you want to improve?
• Is that data clean, consistent and accessible?
• Is it in digital systems, or still in paper records or people's heads?
• Do you have historical data, or only current-state snapshots?

High readiness: Clean, structured data in accessible systems. Low readiness: Data scattered, inconsistent or predominantly on paper.

2. Systems & Technology Readiness

AI needs to connect to your existing systems. Assess:

• Are your key business systems modern enough to have APIs?
• Is your IT infrastructure cloud-capable or on-premises-only?
• Do you have internal IT capability or rely entirely on external support?
• Are your systems well-documented?

3. People & Skills Readiness

• Is there executive sponsorship for AI initiatives?
• Do you have an internal AI champion with the time and authority to drive implementation?
• How open is your team to process change?
• Is there basic digital literacy in the teams that will use AI?

4. Strategic Readiness

• Can you clearly articulate the business problem you want AI to solve?
• Is there budget allocated for AI with realistic expectations?
• Do you have defined success metrics?
• Is AI aligned with your broader business strategy?

What to Do With Your Readiness Assessment

If you're high on all four dimensions: you're ready to move quickly. Pick your highest-value use case and start implementation.

If you're low on data readiness: invest in data infrastructure first. Clean, structured data is the foundation of every AI application.

If you're low on sponsorship: get a senior champion before starting. AI projects without executive support consistently underperform.