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· intervention · risk · tointelligence

AI Risk:
what actually
engages your liability.

Your organisation uses AI. But which risks have you actually evaluated at decision level? Not technical risks. Strategic risks.

The AI risk you don't measure is the most dangerous.

Most organisations have some form of IT risk assessment. Some have started assessing AI risks : at a technical level: model bias, data security, system reliability. These assessments are necessary. They don't cover strategic risks.

Strategic AI risks at board level are different: which dependencies created today will limit your options in 3 years? What is your real EU AI Act exposure, and who in your organisation is responsible for it? If an AI system contributes to a critical decision that proves wrong, who can be held accountable? These questions have no technical answer. They have governance answers.

AI risk not assessed at board level is not a managed risk. It is an absorbed risk.

What our assessment covers.

decision risk
Decision quality
AI systems influencing your critical decisions : are they reliable? Supervised? Documented? A decision made on a faulty AI recommendation creates liability your organisation must anticipate.
dependency risk
Strategic exposure
Which critical AI dependencies have you created? What is the exit cost? What is the exposure if a key vendor changes terms or disappears? This risk is rarely assessed and often critical.
regulatory risk
EU AI Act exposure
Are you using systems classified as high-risk under the EU AI Act without knowing it? Which obligations apply to your organisation as operator? What is your exposure if you are not compliant by August 2026?

How we assess.

· phase 1 · diagnostic

Mapping of your current AI systems and usages, identification of significant dependencies, EU AI Act classification of your systems, assessment of real vs nominal human oversight. Output: a clear picture of your real exposure across all three risk dimensions.

· phase 2 · control plan

For each identified risk, we define a proportionate response: what must be addressed immediately, what can wait, what requires a board decision. The objective is not risk elimination : it is conscious mastery of risk.

What an executive-level AI risk assessment is

An executive-level AI risk assessment is distinct from an AI security audit or model bias evaluation. It covers three strategic dimensions: decision risk (quality and traceability of AI-assisted decisions), dependency risk (exposure to vendor condition changes and exit costs), and regulatory risk (EU AI Act exposure and operator obligations).

This assessment is specifically intended for executive leadership level because the risks it covers have implications for strategy, governance and liability that cannot be managed at the technical level alone. It produces actionable information for board decisions: which dependencies to reduce, which systems to reclassify, which governance measures to implement.

At tointelligence, we conduct these assessments with a combined strategic and regulatory angle, drawing on our contribution to France's national digital sovereignty framework and our expertise in strategic management : under the direction of Omer Taki. The result is an assessment that speaks to boards in their terms : risk, value, accountability : not AI technical vocabulary.

→ related analysis
EU AI Act : Obligations for CEOs and Executives →
Understand the regulatory framework that structures part of your AI risk exposure.
· tointelligence

Does your board know
your organisation's real
AI risk exposure?

We conduct the strategic assessment that gives the board a clear picture of its exposure, and the decisions to make.

let's talk
exclusively board & executive level · response within 24h

· frequently asked questions

What is an executive-level AI risk assessment?
An assessment covering three strategic dimensions: decision risk (AI-assisted decision quality and traceability), dependency risk (vendor condition exposure and exit costs), and regulatory risk (EU AI Act exposure). Distinct from an IT security audit, it produces actionable information for board decisions.
How does this assessment differ from an AI security audit?
A security audit covers technical vulnerabilities, model biases and data protection. Our assessment covers strategic risks: vendor dependencies, legal liabilities, critical decision quality, EU AI Act compliance. Both are complementary, not substitutable.
How to prepare for the EU AI Act as an executive committee?
Three steps: inventory and classify your AI systems under EU AI Act categories, assess your operator status and associated obligations for high-risk systems, and structure governance at board level to satisfy human oversight requirements. Deadline for high-risk systems: August 2026.