As artificial intelligence accelerates across industries, trust has emerged as the defining currency of adoption. According to the 2025 global study Trust, attitudes and use of Artificial Intelligence , 83% of people surveyed believe AI will deliver wide-ranging benefits, yet only 46% are willing to trust AI technologies. This trust gap is widening as AI deployment outpaces governance, creating significant risk exposure for organisations.
Australian businesses are at a pivotal moment. KPMG’s AI Quarterly Pulse survey reveals that 82% of business leaders cite risk management as their top concern when scaling AI, followed by quality of organisational data (64%) and personal trust in the technology (35%). Trust must now be embedded not as a compliance checkbox, but as a strategic differentiator.
KPMG’s Trusted AI framework, enabled by ServiceNow's AI Control Tower, is helping organisations build trust in AI by implementing governance at scale, without slowing innovation.
Building trust: operationalising AI governance
Our Trusted AI Framework provides an integrated approach to the responsible design, development, procurement and use of AI technologies.
It spans ten pillars, from algorithmic fairness to data provenance, human–AI collaboration, regulatory compliance, and third-party reliance. These principles mitigate systemic bias, ensure transparency, and uphold privacy.
How does it work?
When integrated with ServiceNow’s AI Control Tower, this framework isn’t just theoretical, it’s operationalised as a suite of automated lifecycle governance protocols that include:
These components work together to create tailored AI governance that scales with organisational needs and regulatory requirements.
From policy to platform: actionable workflows
KPMG’s AI Trust services automate compliance and risk-tier evaluations, enabling dynamic regulatory assessments across complex AI ecosystems. Powered by agentic AI and interoperability, these AI trust services transform governance from static policy into actionable workflows.
This shift is critical as leaders face mounting pressure to demonstrate responsible AI use. In fact, 73% of leaders surveyed in the AI Quarterly Pulse survey said data privacy and security is paramount when choosing a gen AI provider. With ServiceNow’s platform, KPMG delivers built-in AI governance to proactively manage risk, automate compliance, and adapt to evolving regulatory demands.
Adaptive governance for sector-specific use cases
How AI trust principles are implemented varies across industries, each with unique risk profiles. In banking, AI trust services support fraud detection and data sovereignty. In healthcare, they safeguard patient data and uphold ethical standards for data deployment. In the public sector, they enable transparent decision-making and reinforce data sovereignty.
From banking to telecommunications to government, organisations face an ever-growing volume of complex, time-consuming regulatory demands. Each sector requires tailored approaches to AI governance that adapts to specific regulatory needs while maintaining operational efficiency.
The C-suite’s roadmap to AI success
Within organisations, AI is a shared opportunity, but C-suite leaders come to the table with different priorities. The CEO wants competitive outcomes. The CTO is cautious of complexity and cost. The CHRO worries about the impact to the workforce. These perspectives can pull in different directions, or they can align to a strategic roadmap that prioritises governance with business outcomes.
AI governance must be embedded into strategy from the outset, not retrofitted after deployment. Leaders who view AI governance as a strategic enabler rather than a compliance burden will find themselves building foundational trust that drives long-term success.
Governing AI in a multi-agent world
The rapid acceleration towards multi-agent AI platforms heralds a new era in enterprise tech adoption. These systems, where multiple AI agents work together to complete complex tasks, also introduce new governance challenges around coordination, accountability, and risk management. KPMG is keeping pace with this evolution.
As with ServiceNow's AI Agent Orchestrator, KPMG's Workbench is an advanced platform designed to scale integration of AI across various business functions and use cases by enabling interoperable communication between agents. In this way, systems, tools, and technologies can work together seamlessly, even if they were created by other companies or for different purposes.
The future of AI at scale lies in adaptive governance. KPMG’s partnership with ServiceNow empowers organisations to scale AI responsibly, with built-in controls that adapt to changing regulatory environments. As we advance into this multi-agent future, business leaders are at a pivotal moment where trust in AI is no longer optional – it’s foundational. Organisations that lead with trust will lead the market.
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