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AI Risk Consulting Services

Artificial Intelligence (AI) risk management and governance services designed to help organizations safely scale AI with governance, compliance, risk modeling and insurance protection strategies.
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Accelerate AI innovation without increasing risk

AI is transforming how businesses operate and compete. Navigating the risks associated with integrating AI into your organization starts with governance. Without proper governance, AI can significantly amplify cyber, regulatory, operational and reputational risks.

WTW’s AI risk consulting services help organizations confidently adopt and scale AI while protecting their business, data and reputation.

Why AI risk management matters?

AI adoption introduces new and evolving risk factors, including:

  • Cybersecurity vulnerabilities and data exposure
  • Model poisoning, inversion and supply chain threats
  • Hallucinatory, biased or erroneous model outputs
  • Regulatory compliance challenges
  • Increased decision-making and reputational risk.

With cyber risk already ranked among the top global business risks, AI further expands the threat landscape.

Topic

Artificial Intelligence

How can AI create opportunities, improve productivity and mitigate risk? Explore our insights to find out more.

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What is an AI risk and governance framework?

WTW delivers a comprehensive, end-to-end approach to AI risk management through four integrated service modules:

1. Establish the foundation for AI governance

Start your AI journey with a strong strategic baseline:

  • Executive-level AI education and readiness assessments
  • Identification of AI use cases and risk exposure
  • Gap analysis across governance structures.

Included services:

  • AI primer and leadership briefings
  • AI threat landscape assessment
  • AI risk readiness review.

2. Embed trust, compliance and accountability

Build responsible and ethical AI practices aligned with industry standards:

  • AI governance frameworks and policy development
  • Cross-functional controls and oversight models
  • Regulatory and compliance alignment.

Advanced governance services:

  • AI governance workshops
  • AI policy creation
  • Governance, risk, and compliance (GRC) training
  • Third-party AI risk management
  • AI incident response simulation exercises.

3. Quantify AI risk and financial impact

Move beyond theoretical risk to measurable business impact:

  • Scenario-based AI risk modeling
  • Probabilistic loss forecasting
  • Financial impact quantified across cyber, operational, and reputational risks.

Our advanced modeling tools deliver decision-ready insights tailored to your AI environment, enabling smarter investments and risk mitigation strategies.

4. Protect your balance sheet as AI scales

Ensure your insurance and risk transfer strategies evolve with AI adoption:

  • AI coverage gap analysis
  • Cyber, D&O, and technology E&O review
  • Design of AI-specific risk transfer solutions.

Coverage insights include:

  • Amplified existing risks
  • Emerging AI-specific exposures
  • Regulatory liability considerations
  • Opportunities for enhanced coverage.

Related AI risk content

Navigating AI risks and opportunities

Risk Intelligence Quantified

Outsmarting Uncertainty webinar series

How are AI risk scenarios modeled?

Unlike generic cyber risk models, WTW delivers tailored AI-specific scenarios, such as:

  • Compromised AI models in the software supply chain
  • Shadow AI leading to sensitive data leaks
  • AI model poisoning attacks
  • AI model extraction/theft
  • Data exposure through model inversion.

These real-world scenarios provide clear, quantified outcomes to guide business-critical decisions.

The WTW advantage in AI risk management

WTW combines deep technical expertise with strategic business insight:

  • Former CISOs and AI-certified risk experts
  • Integrated consulting and insurance broking approach
  • Translation of technical AI risks into actionable business strategies
  • Improved insurer alignment and underwriting outcomes.

We help organizations deploy AI securely, ethically and with resilience across the entire lifecycle.

Your AI risk FAQs

AI literacy is becoming an essential skill for colleagues across all roles, regardless of the industry. To equip your team with the knowledge they need, consider implementing targeted training and workshops that focus on practical strategies for managing AI risks and capitalizing on opportunities. By doing so, you can build awareness and confidence, empowering your colleagues to approach AI challenges proactively.

As AI transforms your organization, effective governance and ethics are crucial to harnessing its potential while mitigating risks. Start by designing governance structures that align AI systems with your organizational values and regulatory requirements. Then, implement robust controls for accountability, transparency, and fairness throughout the AI lifecycle, ensuring that your AI systems operate responsibly and ethically.

AI has the potential to be highly disruptive across markets, changing fundamental assumptions. By understanding the emerging risk landscape and engaging your leadership in interactive workshops using tailored “what if” scenario planning, you can unpick potential AI-driven impacts specific to your business. With these insights you can enhance strategic preparedness, broaden perspectives on potential futures and catalyze proactive planning.

With a constant challenge to keep up with AI developments, organizations can benefit from establishing an internal AI foresight group tasked with understanding both what is happening in the world of AI and how it could impact the organization. This group should translate this collective foresight into tracked, actionable plans for proactive risk management and strategic adoption.

When relying on outputs generated by AI, you need to be able to answer this question with confidence. By setting success benchmarks and establishing AI output assurance controls to ensure AI systems meet or surpass these benchmarks, you can build confidence in AI-driven decisions.

Every AI system carries inherent risks. By conducting a comprehensive AI system risk assessment, you can identify and evaluate potential risks such as bias, data privacy concerns, and regulatory non-compliance. This assessment will guide you in developing prioritized mitigation strategies to ensure the reliability and integrity of your AI systems.

Conducting an AI Risk and Readiness study will help you assess your organization's preparedness across key areas, including competition, supply chain resilience, workforce adaptation, technology integration and regulatory compliance. By understanding your current state of readiness, you'll be able to identify gaps, mitigate risks and capitalize on emerging opportunities.

AI risk contacts

Christopher Lindsey, Managing Director, Risk & Analytics Asia

Christopher Lindsey

Managing Director, Risk & Analytics Asia

Email
Conor Keating, Head of FINEX Cyber, Asia

Conor Keating

Head of FINEX Cyber, Asia

PhoneEmail
Christopher Lindsey, Managing Director, Risk & Analytics Asia

Christopher Lindsey

Managing Director, Risk & Analytics Asia

Email
Conor Keating, Head of FINEX Cyber, Asia

Conor Keating

Head of FINEX Cyber, Asia

PhoneEmail

Start managing AI risk today

WTW partners with organizations to help align governance, risk quantification and insurance solutions so you can innovate with confidence. Better navigate your AI risk. Get in touch with our AI risk experts to find out how.
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AI risk capabilities

Cyber Risk Management and Insurance

Cyber Risk Consulting

Cyber Quantified

Enterprise Risk Management Consulting

Financial, Professional and Executive Risks

Risk and Analytics

AI risk insights

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