Effective implementation and management of AI systems can transform a business and unlock new possibilities, while also ensuring compliance with industry frameworks and shifting regulations.

Embedding AI systems into your business can help you maximise commercial returns and operational efficiencies, but increased scrutiny means it requires support across risk management and assurance.

Without appropriate guardrails, organisations may breach privacy and ethical standards, potentially resulting in reputational damage and fines under breaches of regulations, eg GDPR or the EU AI Act.

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Alex Hunt
Head of Data Analytics and Automation, Business Risk Services
Alex Hunt
Head of Data Analytics and Automation, Business Risk Services
Alex Hunt

Why Grant Thornton

We bring together our data and analytics governance experts to shape the right level of governance that balances the need to deliver benefits and ensure compliance. 

Our team is your team – we work collaboratively, transparently, and with a proven ability to deliver sustainable solutions that are specialised for the size and maturity of your AI capabilities.

You can establish comprehensive governance in confidence, leveraging our innovative tools and field-tested framework.

Preparing your data for AI

There's an increasing need to educate executives on essential data management practices required for adopting AI models. Widespread AI innovation and deployment presents both opportunities and challenges for chief data officers, who face the task of accelerating readiness, ensuring that business data is accurate, complete, and formatted in a way that can be easily processed by AI systems.

This can be done by implementing company-wide data quality programmes and governance frameworks, including the connection of AI initiatives to tangible business value while safeguarding ethics, security, and privacy.