Back to Blog
AI StrategyAssessment

How to Assess Your Organization's AI Readiness

Use practical questions about data, technical ownership, sponsorship, use cases, and change management to identify planning needs.

Vajriva · Educational analysis

2 min read (estimate)

Use these questions to identify gaps and planning needs. They are discussion prompts, not a validated scoring model or delivery forecast.

1. Data Infrastructure

Do you have accessible, structured data for your target use case? Identify source ownership, access permissions, data quality limitations, and applicable retention requirements.

2. Technical Ownership

Who would maintain the system, monitor its behavior, and respond to failures? Include application interfaces, model dependencies, and evaluation responsibilities in the operating plan.

3. Executive Sponsorship

Who owns the business problem and can authorize changes to the workflow? Agree on review responsibilities, scope, and decision criteria before implementation.

4. Use Case Clarity

Can you describe the business problem without naming a technology? Identify the current workflow and the evidence needed to judge whether a proposed change is useful.

5. Change Management

Has your organization identified who will use, review, and support the system? Consider training, documentation, manual alternatives, and feedback channels.

Planning Next Steps

Identify gaps: Record unresolved questions and their owners.

Define evaluation: Agree on representative inputs, review methods, and decision criteria.

Scope the work: Choose a bounded workflow and revisit the plan as assumptions are tested. Set timelines from the actual dependencies rather than a generic readiness score.

Discuss Your AI Use Case

Tell us what you’re trying to solve. We’ll discuss the workflow, constraints, and possible next steps.