AI governance as a driver of innovation, trust and compliance
Governance has never been as challenging – or as critical – as it is in the age of AI. New concepts such as Agentic AI and General Purpose AI (GPAI) are transforming value creation and redefining how people and machines work together.
Organisations not only need to unlock AI’s innovation potential, they must also manage the associated risks and comply with a rapidly evolving regulatory landscape.
We support you in future-proofing your governance in this dynamic environment – with a leading AI governance framework, robust methods for risk assessment and highly automated end‑to‑end controls.
“Innovation and compliance are not opposites in the age of AI. AI governance is the prerequisite for trustworthy AI innovation.”
What sets PwC’s AI Governance services apart
AI governance as the foundation for trustworthy innovation
Artificial intelligence offers enormous potential for value creation – but also introduces significant risks. Unlike traditional software, the decision-making pathways of AI models are much harder to understand. Without appropriate controls, issues such as hallucinations or biased training data can result in errors and unfair decisions, leading to reputational damage and financial loss.
Governance therefore needs an “AI upgrade”. Continuous monitoring, automated checks and real time reporting must be tightly integrated to safeguard data integrity and ensure model behaviour remains predictable.
“Traditional governance – based on periodic audits and manually maintained spreadsheets – is not sufficient for AI. Modern AI governance needs to be adaptive, fast and highly automated.”
Minimising risks and breaking open the black box
A modern governance architecture cannot be limited to bureaucratic approval workflows; it must be deeply embedded in both technical and organisational processes. At its core, this means making opaque decision paths transparent through targeted use of Explainable AI (XAI) – and ensuring that human decision makers retain authority at the right points. The principle is clear: informed oversight instead of blind trust.
In parallel, governance must create a tight safety net that proactively minimises risk. This requires systems that operationalise regulatory requirements such as the EU AI Act and ensure that ethical standards are upheld. In doing so, modern AI governance turns abstract risks into managed processes. It raises AI readiness across the organisation and creates the transparency needed to scale AI innovation effectively.
Innovation without flying blind – with effective AI governance
We help you build a governance structure that accelerates innovation while keeping risks under control.
How we support you across all aspects of AI governance
- Assessment and strategy
- Framework design
- Inventory and classification
- Integration and automation
- Implementation and training
- Continuous improvement
Assessment and strategy
How mature is your current governance? Which areas are not yet adequately addressed? Based on the prevailing regulatory environment, we analyse your status quo and make the maturity of your governance transparent. From there, we identify relevant risks and develop a strategic roadmap.
Framework design
Introducing AI into business operations changes processes and roles. When designing a tailored AI governance set‑up, we consider the entire lifecycle of your AI solutions as well as the associated roles and responsibilities. We use a parameterised AI governance framework that, among other things, enables the establishment of adaptive control systems for agent‑based architectures.
Inventory and classification
As AI permeates all areas of the business and initiatives often originate in different departments, many organisations lack a comprehensive view of all AI use cases and their related metadata. To ensure effective oversight and assurance, we create a central AI inventory that classifies and categorises all existing use cases. It clearly shows who the respective owners are and which risks each use case entails.
Integration and automation
We support you in integrating AI governance into your existing governance landscape and in automating governance processes. Automated controls, well‑defined access management, and clear roles and responsibilities are essential prerequisites for effective AI governance. A previously developed integration plan provides the foundation.
Implementation and training
Upskilling your workforce is crucial for the acceptance of AI solutions and is therefore also a key factor in successfully introducing governance measures. We support you through every step of implementation – from AI and compliance training to deploying appropriate monitoring, including an intuitive governance dashboard.
Continuous improvement
Just as artificial intelligence continues to evolve, AI governance must evolve as well. On the one hand, regulatory changes require regular updates. On the other, continuous improvement of the governance framework ensures that control and review activities remain appropriate and that all relevant risks are addressed.
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