The ICBAI AI Maturity Cycle
The 5 Step ICBAI Assessment
Our comprehensive five-step methodology systematically guides organizations through their AI maturity advancement journey, ensuring measurable progress and tangible business outcomes:
1. Evaluate
- Conduct a thorough baseline assessment across all five maturity pillars
- Use structured questionnaires and interviews with key stakeholders
- Gather evidence of current practices, policies, and capabilities
- Compare your organization against industry benchmarks and best practices
- Generate a detailed maturity profile showing your current position on the 5Ă—5 matrix
2. Analyze
- Interpret assessment results to identify specific strengths and weaknesses
- Pinpoint capability gaps that are limiting your organization’s AI effectiveness
- Discover hidden opportunities for advancement in each pillar
- Understand interdependencies between different maturity dimensions
- Identify potential quick wins and longer-term structural improvements
3. Prioritize
- Align potential improvements with strategic business objectives
- Calculate potential ROI and business impact of different initiatives
- Consider implementation difficulty, resource requirements, and timeline factors
- Create a sequenced roadmap that balances quick wins with foundational improvements
- Secure stakeholder consensus on priority focus areas and expected outcomes
4. Implement
- Develop detailed action plans for each prioritized initiative
- Assign clear ownership and accountability for implementation activities
- Allocate appropriate resources and establish governance structures
- Execute improvement activities with regular progress monitoring
- Address barriers and resistance through structured change management
5. Validate
- Conduct follow-up assessments to measure progress against the baseline
- Quantify improvements in maturity level across the five pillars
- Document business outcomes and realized benefits
- Capture lessons learned and refine approach for future cycles
- Communicate achievements to stakeholders and recognize contributions
The ICBAI Assessment Cycle is designed to be iterative, allowing organizations to continuously advance their AI maturity through repeated cycles of evaluation and improvement.
Each iteration builds upon previous progress, creating a sustainable path to AI excellence.
AI Maturity Framework Pages
AI Maturity Model
AI Maturity Cycle
AI Governance and Ethics
AI Strategy and Alignment
AI Technology and Infrastructure
AI People and Culture
AI Processes and Efficiency
AI Maturity Certification Scheme Pages
AI Maturity Certification Scheme
AI Readiness Assessment
AI Maturity Verified Self-Assessment
AI Maturity Scheme Certified Assessors