AI Readiness Assessment — PRISM AI Analytics

1

Data Infrastructure

Quality, accessibility, structure, and accuracy of your business data.

1.1 How would you rate the overall quality and accuracy of your business data?

1 — Messy and unreliable5 — Clean and consistent

1.2 How accessible is your data when you need to make a decision?

1 — Hunted down manually5 — Instantly available

1.3 Where does most of your business data live?

1.4 How often do you use data (not gut) to make decisions?

1 — Rarely5 — Always

2

Technology Stack

Modernness, integration, and AI-compatibility of your current tools.

2.1 How modern and integrated are your current tools?

1 — Outdated / manual5 — Modern, cloud, integrated

2.2 Which of the following does your business use? (select all)

Cloud storage BI / Dashboard tool Automation tools AI tools E-commerce w/ analytics Integrated CRM + marketing None of the above

2.3 How well do your tools share data?

2.4 How confident are you that your tech stack can support AI integration without major rework?

1 — Not at all5 — Fully ready

3

Process Maturity

Documentation, repeatability, and automation-readiness of your workflows.

3.1 How well-documented are your key business processes?

1 — In people's heads5 — Fully documented & followed

3.2 Which describe your current processes? (select all)

Written SOPs for most tasks Some but outdated Rely on 1–2 people Manual weekly tasks Identified automation candidates No formal documentation

3.3 What % of weekly tasks are repetitive & manual?

3.4 How consistently are processes followed across your team?

1 — Varies by person5 — Strictly followed

4

Team Readiness

Literacy, training, and cultural appetite for AI adoption.

4.1 How comfortable is your team with AI and data tools?

1 — Feels foreign5 — Actively experiments

4.2 Has your team received AI/data training in the last 12 months?

4.3 Biggest barrier to team AI adoption?

4.4 How open is leadership + team to changing how work gets done?

1 — Resistant5 — Eager

5

Governance & Compliance

Policies for data security, privacy, ethical AI use, and risk.

5.1 Do you have a written policy governing who can use which AI tools?

5.2 Which data protections do you have in place? (select all)

Access controls / least privilege Encryption at rest Encryption in transit Backup & recovery tested Data retention policy Vendor security reviews None of the above

5.3 How confident are you that sensitive data won't leak into public AI tools?

1 — Not at all5 — Fully confident

5.4 How confident are you that your AI & data practices meet your regulatory obligations?

1 — Not at all5 — Fully aligned (or N/A)

Which compliance regimes apply? (informational — not scored)

6

Strategic Alignment

Connection between AI adoption and business goals / leadership commitment.

6.1 How clearly is AI connected to your overall business strategy?

1 — Not part of thinking5 — Central to growth

6.2 Leadership's attitude toward AI?

6.3 What's the single most important business outcome you want AI to help achieve?

6.4 Is there a specific deadline or business event driving your AI timeline?

PRISM AI ANALYTICS