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AI Assurance by Design Framework

BUILD TRUST INTO AI FROM DAY ONE

As AI becomes increasingly embedded in critical decisions and operations, organisations need confidence that their systems are trustworthy, governable and fit for purpose.

The AI Assurance by Design Framework provides a practical approach to embedding assurance throughout the AI lifecycle - rather than treating it as a late-stage compliance exercise.

 

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What is it?
A practical framework for designing, deploying and operating AI-enabled systems that can be trusted. It helps organisations generate the evidence needed to support confidence in AI systems, regardless of sector, technology or deployment model. 

What does it cover?
The framework helps teams answer three fundamental questions:

  • What must be true for this system to be trusted?

  • What controls and design choices make that possible?

  • What evidence proves it?

It includes guidance on AI trustworthiness, risk and proportionality, assurance activities across the lifecycle, common assurance failure modes, governance models and practical design patterns.

Why download it?
Download the framework today to:

  • Establish a practical AI assurance approach from day one

  • Balance innovation with governance and risk management

  • Create stronger evidence for trust, safety and accountability

  • Align technical, operational and leadership stakeholders

  • Accelerate adoption through greater confidence in AI-enabled systems

  • Access practical governance models, artefacts and real-world examples you can adapt to your organisation

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Ready to deploy AI with justified confidence?

The organisations that realise the greatest value from AI will be those that can deploy it with justified confidence. This framework shows how to make trustworthiness a design objective, enabling safer, more resilient and more dependable AI systems.

Download the framework for free today.