1. Strategy & Leadership

Does your organization have a defined AI strategy or vision?

No strategy in place Informal discussions but nothing documented Documented AI goals tied to business outcomes Clear AI roadmap, aligned with executive leadership and reviewed annually

How involved is leadership in AI adoption?

Leadership rarely discusses AI Leadership shows interest but no formal plans Leadership actively supports pilot projects Leadership champions AI initiatives and allocates budget/resources

2. Data Readiness

How structured and accessible is your business data?

Data is siloed, inconsistent, or inaccessible Some data is structured, but quality is inconsistent Centralized data systems with moderate governance Well-governed, high-quality, integrated data systems

Do you have data governance and compliance practices in place (GDPR, HIPAA, etc.)?

None Informal policies Documented and reviewed policies Mature governance with ongoing compliance monitoring

3. Technology & Infrastructure

How would you describe your IT infrastructure’s ability to support AI workloads?

Legacy systems, not AI-capable Some cloud adoption, limited capacity for AI Scalable infrastructure, some AI tools in place Modern hybrid/cloud infrastructure optimized for AI/ML

Do you currently use AI/automation tools in any processes?

No AI tools in use Limited use in non-critical processes Several AI tools integrated into business workflows Enterprise-wide adoption with continuous optimization

4. People & Skills

How would you rate your team’s AI literacy and skills?

No knowledge or training Awareness but minimal practical skills Some employees trained in AI tools Organization-wide AI literacy, with in-house expertise

Do you have a change management plan for AI adoption?

No plan Informal, reactive communication Structured communication and basic training Comprehensive adoption program with ongoing training and feedback loops

5. Security & Risk Management

How do you manage risks associated with AI (bias, privacy, misuse)?

Not considered Aware, but no policies Documented policies, some monitoring Ongoing risk assessments, ethical guidelines, and governance board

Are cybersecurity and compliance guardrails in place for AI adoption?

No Basic protections AI initiatives reviewed for compliance and security Comprehensive framework (NIST, ISO, HIPAA, etc.) integrated with AI initiatives

AI Risk Assessment for Research Administrators

Assessment Details

1. Strategy & Leadership

2. Data Readiness

3. Technology & Infrastructure

4. People & Skills

5. Security & Risk Management

Request a guided AI readiness assessment