EU AI Act enforcement begins August 2026. – Boards without demonstrable AI governance face material regulatory, fiduciary, and reputational exposure.
Are You Exposed to Ai Risk?
Board-level AI governance advisory
AI is already in your business.
Is it governed?
AvertAI helps boards and executive teams establish practical AI governance, stronger accountability, and audit-ready oversight — before risk becomes regulatory, operational, or reputational harm.
Governance structures, roles, reporting lines, and executive accountability.
ISO/IEC 42001 readiness
Practical preparation for a certifiable AI management system.
Confidential advisory
Strategic support for leadership teams in regulated and risk-sensitive organisations.
AvertAI framework
From strategy to assurance
Advisory model
Risk-led
Focused on exposure, accountability, and defensible oversight.
Executive-ready
Designed for boards, risk leaders, and senior decision-makers.
Who We Work With
Built for organisations where AI risk exposure is material
We work with boards, CIOs, risk leaders, compliance teams, and organisations that need more than AI enthusiasm. They need control.
BOARDS
Clarifying oversight duties, governance expectations, and executive reporting.
CIOs & DIGITAL LEADERS
Aligning AI initiatives with risk appetite, policy, and operational control.
RISK & COMPLIANCE
Creating defensible frameworks, evidence trails, and assurance routines.
REGULATED SECTORS
Strengthening oversight where regulatory scrutiny and stakeholder expectations are rising.
IN PRACTICE
How we help leadership teams
FINANCIAL SERVICES
A mid-sized firm deployed AI credit decisioning without oversight. We mapped gaps and built a control framework that satisfied internal audit and regulators ahead of review.
Professional Services
Facing client due diligence on AI use, we established governance documentation and completed an ISO/IEC 42001 gap review for board-level disclosure.
Technology Organisation
Preparing for ISO/IEC 42001 certification, we identified critical gaps and established monitoring structures prior to successful audit.
The cost of inaction
Unmanaged AI creates silent exposure across the organisation
AI is already appearing through tools, vendors, pilots, and informal use. Without structured governance, organisations inherit risk faster than most leadership teams realise.
“Providers of high-risk AI systems shall establish a quality management system that ensures compliance with this Regulation.”
01
Regulatory and compliance exposure
Emerging regulation, including the EU AI Act, is raising expectations around AI control, evidence, and accountability.
02
Board and director liability
When AI causes harm, governance gaps quickly become board issues with fiduciary, legal, and reputational consequences.
03
Operational and reputational harm
Bias, drift, hallucinations, weak controls, and third-party failures can undermine trust and disrupt operations.
04
Absence of accountability
Without ownership, policy, and audit trails, organisations struggle to demonstrate diligence to regulators, auditors, and stakeholders.
Advisory services
Practical engagements for executive teams
Each engagement is structured to create clarity, reduce risk, and strengthen control without unnecessary complexity.
01
AI governance diagnostic
A structured review of current AI activity, exposure, governance gaps, and leadership accountabilities.
02
Board and executive briefings
Focused sessions that clarify AI risk, governance responsibilities, and the actions leadership should take next.
03
Policy and control framework design
Development of practical governance structures, policies, controls, and reporting approaches aligned to your operating context.
04
ISO/IEC 42001 readiness support
Gap analysis, roadmap design, and practical preparation for a robust and certifiable AI management system.
Our structured approach
Four disciplined phases of AI governance
A clear engagement model that moves from understanding exposure to establishing ongoing assurance.
Assess
Map AI use cases, risk exposure, maturity gaps, third-party dependencies, and current governance weaknesses.
Connect AI governance with business strategy, risk appetite, regulatory obligations, and ISO/IEC 42001 expectations.
Assure
Embed monitoring, evidence, assurance, board reporting, and continual improvement so control remains effective.
Signature methodology
The AvertAI Governance Framework
A layered model that ensures strategy drives policy, policy informs controls, and everything is supported by monitoring and assurance.
Designed for executive clarity
Simple enough for board oversight, rigorous enough for audit and assurance.
Built around accountability
Clear ownership, reporting, decision rights, and evidence capture.
ISO/IEC 42001
Readiness for the international AI management standard
ISO/IEC 42001 is the first certifiable standard for Artificial Intelligence Management Systems. We help organisations prepare in a way that strengthens governance, not just documentation.
Leadership and context
Map AI use cases, risk exposure, maturity gaps, third-party dependencies, and current governance weaknesses.