How is your AI License-to-Operate?

ISO42001 AI Management System and ISO 23984 Guidance on AI Risk are Global de facto Standards for developing & monitoring AI.

If your organization don’t use ISO 42001 and ISO 23894 as lead frameworks for NIS2, NIST AI RMF, EU AI ACT, anti-deepfake, binding rules on generative AI, or synthetic media implementations, you will experience:

• unaligned Cybersecurity & AI Governance initiatives which increases risks of compliance fatigue and excessive costs
• some areas are covered too heavily with repeated over-regulation, while other areas have blind-spots open to interpretation
• lack of internal and external transparency cause organizational loss of reputation
• difficulties explaining why, what, how, when and by who – resulting in lost trust

Using ISO 42001 as your AI lead framework is fully justified!

If your organizational AI Maturity is:

3. Auditable: Use AinnoLab’s augmented, Agent-based solution to check policies and SOPs towards ISO 42001 and ISO 23894. Look for removal of redundant or contradicting guidelines and syntax issues, confirm role-based clarify, and draft dashboards to supervise improvement using Plan-Do-Check-Act

2. Documented: Use AinnoLab’s AI Adoption self-assessment to set direction, and our workshops, team & individual training and coaching to confirm “Policy Readiness”

1. Unverified: if none or very limited AI competencies, guidelines, formalized Ways-of-Working is in place, do the baseline using the AI Adoption self-assessment. Then start working on the 90 days Roadmap and identify gaps between existing operations and AI initiatives

Guaranteed Delivery of Agreed Outcomes: Trust is earned, not claimed

If you are not satisfied with our collaboration, our agent-based solutions, or the services and deliverables provided – measured against the agreed scope and acceptance criteria – we will refund any payments made and guarantee a controlled handover.

Kind regards,

Lars Eith, Dr., Founder, LinkedIn