Free Tool All Industries AI Readiness Assessment

AI Adoption & IT Readiness Checklist

Interactive Readiness Scorer

Interactive assessment for IT managers implementing AI. Score your readiness across tool vetting, infrastructure, risks, training, and implementation strategy.

Walk away with a concrete, actionable implementation plan.

General guidance for educational purposes only — not legal, regulatory, or compliance advice. Review results with qualified professionals.

Progress 0 of 15 answered

Section 1: AI Tool Vetting & Data Handling

Foundation: Secure AI Tool Selection & Data Management

1.1 AI Tool Security Assessment Process

Do you have a clear process for vetting new AI tools and platforms for their security features, data privacy policies, and compliance with internal standards?

1.2 Employee Data Security Training

Are employees trained on what types of company data (especially sensitive client or proprietary information) should never be input into public or unsecured AI models?

1.3 AI Data Input/Output Management

Have you established guidelines for managing data input into and output from AI systems, ensuring data integrity and preventing unintended data exposure?

Section 1 Score: 0 / 6

Section 2: Infrastructure Readiness for AI

Critical: Ensuring Technical Foundation

2.1 Network & Computing Capacity

Is your current network bandwidth and computing infrastructure sufficient to support AI applications without impacting existing operations?

2.2 Data Storage Scalability & Security

Are your data storage solutions scalable and secure enough to handle the datasets required for AI training and operation?

2.3 AI Integration Security Assessment

Have you assessed the security implications of integrating AI tools with your existing IT systems (APIs, data connectors)?

Section 2 Score: 0 / 6

Section 3: Emerging AI-Specific Risks

Advanced: Addressing New Threat Vectors

3.1 AI Threat Awareness & Planning

Are you aware of AI-specific cybersecurity threats (data poisoning, model theft, adversarial AI attacks) and do you have a plan to address them?

3.2 AI Model Security Strategy

Do you have a strategy for securing AI models including access controls, versioning, and integrity checks?

3.3 AI-Enhanced Incident Response

Is your incident response plan updated to include scenarios involving AI system compromises or AI-driven attacks?

Section 3 Score: 0 / 6

Section 4: User Training & Policy for AI

Governance: Managing Human Factors

4.1 AI Usage Policy Development

Have clear company policies been developed and communicated regarding the acceptable and secure use of AI tools by all employees?

4.2 AI Security Awareness Training

Are employees trained on how to identify and report suspicious AI-related activities or outputs (deepfakes, AI-generated phishing)?

4.3 Continuous AI Security Updates

Do you have a process for continuously updating your security posture and employee training as AI technologies evolve?

Section 4 Score: 0 / 6

Section 5: AI Implementation Strategy

Leadership: Strategic AI Deployment

5.1 AI Implementation Roadmap

Do you have a phased approach to AI implementation that considers security at each stage and minimizes operational disruption?

5.2 AI Performance & Security Monitoring

Are you prepared to monitor AI system performance and security continuously with appropriate alerting and response capabilities?

5.3 AI Governance & Compliance

Do you have governance structures in place to ensure AI implementations remain compliant with regulations and internal policies?

Section 5 Score: 0 / 6

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