Implementation & Adoption Frameworks

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The National Institute of Standards and Technology (NIST) is a U.S. agency that develops widely adopted standards for technology, security, and innovation across industries. Their Cybersecurity Framework (CSF) is a flexible, practical model designed to help organizations of all sizes manage and reduce cybersecurity risk. 

Rather than prescribing specific tools or vendors, the CSF breaks cybersecurity down into five core categories that guide teams in identifying threats, protecting assets, detecting anomalies, responding effectively, and recovering efficiently. 

Learn more about this framework and the five pillars in our Frameworks section. 

Kotter's framework, when adapted for AI deployment, provides a comprehensive approach to organizational transformation:

1. Create urgency around AI adoption by highlighting competitive pressures
2. Build a guiding coalition of champions across departments
3. Develop a clear vision for human-AI collaboration
4. Communicate the vision through multiple channels and success stories
5. Empower broad-based action by removing barriers and providing resources
6. Generate short-term wins through pilot projects and quick victories
7. Consolidate gains and produce more change through iterative improvement
8. Anchor changes in organizational culture and practices

The ADKAR model provides a structured approach to managing AI adoption. The acronym stands for:

• Awareness of why AI is needed and how it benefits the organization
• Desire to participate in and support the transformation
• Knowledge of how to work effectively with the tools
• Ability to implement new skills and behaviors
• Reinforcement to sustain the change over time