Try AINNOLAB’s AI Adoption self-assessment with key recommendations:
We’ll ask you questions to capture your organization’s current state on a 5-point scale (Time: 6 min).
If you have provided an email contact, our model will respond with recommendations for prioritizing initiatives next 90 days.
Evaluate your AI governance maturity with proven frameworks. Find strengths, risks, and compliance gaps to guide improvement.
The learning curve for AI adoption by employees and across the organization is steep and complex. It takes 3-12 months to gain momentum before realizing attractive ROI and outcomes.
Adopting the ISO 42001 AI Management System and ISO 23894 AI Risk Standards are increasingly gaining momentum e.g. Governance Institute of Australia and Responsible AI Trust.
To accelerate the AI development & deployment, we recommend using an AI Maturity Model (AIMM). AI Maturity measures the degree to which organizations have mastered AI-related capabilities.
The AI Maturity Model establishes:
- a shared language allowing teams and functions to discuss AI
- a gap analysis that visualizes the SWOT & TOWS to generate specific, actionable strategies, initiatives and Business Cases
- mapping of competencies and organizational capabilities, and
- the need for upskilling/learning journeys
The PDCA illustrates the continuous improvement process in ISO 42001. It involves planning AI activities and executing them responsibly. The process also includes evaluating performance and acting for enhancement.
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