AI Compliance Is Necessary to drive outcomes and ensure the Business Case

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

If your organization don’t use ISO 42001 and ISO 23894 as lead frameworks for NIS2 (EU), NIST AI RMF (US), EU AI ACT governance, or responding to deepfake-driven attacks, you 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 (e.g. policies, controls), while other areas have blind-spots open to interpretation (e.g. identity assurance, secure communication, incident readiness)
• 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