AI Risk Advisory

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 capitalising on opportunities. By doing so, you can build awareness and confidence, empowering your colleagues to approach AI challenges proactively.

As AI transforms your organisation, effective governance and ethics are crucial to harnessing its potential while mitigating risks. Start by designing governance structures that align AI systems with your organisational 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 catalyse proactive planning.

With a constant challenge to keep up with AI developments, organisations 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 organisation. 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 prioritised mitigation strategies to ensure the reliability and integrity of your AI systems.

Conducting an AI Risk and Readiness study will help you assess your organisation'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 capitalise on emerging opportunities.