Artificial intelligence is rapidly becoming part of everyday business operations, changing how organisations make decisions, manage customers, analyse information and automate routine tasks. While AI offers major opportunities to improve efficiency and productivity, its growing adoption is also creating new challenges for governance, risk management and compliance GRC.
Recent research shows that AI adoption is moving faster than many organisations’ ability to govern it. ISACA’s 2026 AI Pulse Poll found that 90% of respondents believe employees are using AI at work, while only 22% said AI returns had met or exceeded expectations. The research also identified continuing gaps in policies, training and incident-response readiness.
For governance teams, the expansion of AI means organisations must establish clear rules around who can use AI, what data can be processed and how automated decisions should be monitored. This becomes particularly important as employees increasingly use AI tools independently, sometimes without approval from IT or compliance departments. Such “shadow AI” can expose sensitive information and create compliance blind spots.
Risk management is also becoming more complex. AI systems can produce inaccurate information, reinforce bias, expose confidential data or make decisions that are difficult to explain. The emergence of agentic AI, which can perform tasks with greater autonomy, adds another layer of risk because systems may take actions with limited human intervention. The Financial Stability Board has therefore highlighted the need for financial institutions to strengthen governance, risk management and oversight as AI adoption expands.
Compliance teams face similar pressure. Organisations must demonstrate that AI systems comply with privacy, cybersecurity, consumer-protection and industry-specific requirements. Regulators and standards bodies are increasingly focusing on accountability, transparency, documentation and human oversight. This means businesses may need to maintain records showing how AI systems were developed, deployed, monitored and changed.
AI can nevertheless strengthen GRC functions when properly managed. Compliance teams can use AI to identify unusual transactions, monitor regulatory changes, analyse large volumes of documents and detect potential risks faster. Automation can also reduce repetitive administrative work, allowing professionals to concentrate on more complex investigations and strategic decisions.
The challenge is ensuring that AI used for compliance does not create new risks. Gartner argues that organisations need to move beyond high-level policies toward continuous and enforceable technical controls as AI ecosystems become more complex.
Ultimately, successful AI adoption will depend on governance being treated as part of the technology strategy rather than an afterthought. Organisations need clear accountability, employee training, risk assessments, monitoring systems and tested response plans.
As AI becomes more deeply embedded in business, the strongest organisations will not simply be those that adopt it fastest. They will be those capable of balancing innovation with accountability, ensuring that AI delivers value while protecting customers, employees and the organisation itself.
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