Building trust into AI and AI agents from day one

As organizations shift from pilots to scaling AI and autonomous agents, trust is no longer a check-the-box requirement — it’s what enables speed, scale and sustainable value.

KPMG helps unlock sustainable organizational value by embedding trust into the AI and AI agent life cycle enabling you to move faster and scale with confidence by helping to ensure that your AI tools and systems are trusted.

Our KPMG AI Trust capabilities and practical learnings are designed to enable ethical, secure, and compliant practices including autonomous and semi-autonomous agents, helping to turn responsible AI into a driver of innovation and measurable business outcomes at speed and scale.

At the heart of this approach lies our Trusted AI framework, combining strategy, governance, technology and operations, supported by leading methodologies, alliances and practical experience. It is designed to enable responsible AI to move faster, scale with confidence and deliver measurable, sustainable value.

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How KPMG professionals can help

KPMG Trusted AI professionals help organizations move beyond pilots to deploy AI and AI agents at speed and scale, with trust built in from day one. We can guide you through an AI journey, helping to embed ethical, secure and compliant practices across the AI lifecycle, which are designed to drive real business outcomes from trusted AI.

AI readiness and compliance

AI risk assessment and strategy development: Evaluate your current capabilities and build a strategy for secure, responsible and scalable adoption.
AI regulation and compliance: Help to ensure that AI solutions comply with evolving regulation.
AI systems inventory: Identify and document AI systems to address risk.

AI risk transformation

AI governance and policy implementation: Assess, establish and implement governance frameworks, operating models, policies and procedures to manage AI responsibly.
AI security and privacy: Assess and develop AI security and privacy strategies, processes and tools to detect, respond to, and recover from cyber intrusions, privacy risks, software risks and adversarial threats.
AI development and deployment: Establish processes, controls and technologies required to embed a structured and scalable AI operating model.

AI risk monitoring

AI assurance: Test, examine evidence and report on management process controls and claims regarding responsible use of Al technologies.
AI system cards: Use system cards as a ‘source of truth’, providing an extensive asset ledger and transparent record of an AI system’s development and performance.

The KPMG AI Trust principles

Our AI Trust principles help translate responsible AI into practical, scalable action — which are designed to enable innovation without compromise as AI systems become more autonomous and embedded across the enterprise.

Values-driven

KPMG firms implement AI as guided by our Values. We believe they are our differentiator and shape a culture that is open, inclusive and seeks to always operate to the highest ethical standards. Our Values inform our day-to-day behaviours and help us navigate emerging opportunities and challenges.
Human-centric

We prioritize human impact as we deploy AI and recognize the needs of our clients and our people. We are embracing this technology to empower and augment human capabilities — to unleash creativity and improve productivity in a way that can allow people to reimagine how they spend their days.
Trustworthy

We demonstrate our commitment to being trustworthy by embedding our ethical principles across the entire AI lifecycle. This commitment extends beyond data governance and privacy to encompass the ethical impact of our systems, their technical robustness and their operational transparency, with the core aim of ensuring they are fair, secure and understandable.