Discover key insights from the 2026 conference, including how to address evolving regulatory, technological and business risks, align with organizational objectives and deliver measurable value, enhance risk analysis, automation, continuous monitoring and decision-making and how to govern AI responsibly.
Join us at the Gartner Enterprise Risk, Audit & Compliance Conference 2027, October 5 – 6, in Grapevine, TX.
A well-articulated AI strategy is essential for translating AI investments into measurable business impact.
AI plans for audit should start by aligning to how AI can enable achievement of overall department objectives.
CAEs should define the level of impact they want to see from AI (optimization or transformation) then rigorously prioritize use cases to pilot based on value and feasibility criteria.
Plans should include a focus on change management and AI skills development to increase adoption rates and increase confidence in AI outputs.
Ongoing measurement and refinement are necessary to ensure AI initiatives deliver on business objectives and enable ongoing updates to plans.
GenAI can support the full risk-analysis process, including risk evaluation, scenario development, interdependency mapping, emerging-risk detection and root-cause analysis.
ERM teams should use this capability to synthesize information from multiple sources, develop preliminary risk ratings and highlight areas where further evidence or leadership judgment is required.
To get started, ERM leaders should target one manual bottleneck for GenAI experimentation and use it to develop the technical and cognitive skills required to evaluate and refine AI-generated outputs within their teams, as well as building a prompt library to encourage wider use.
Ethical dilemmas from AI use differ from traditional compliance questions because often they require choosing between legitimate priorities.
For example, an AI pricing tool recommends charging some customers more based on predicted willingness to pay. Should the employee prioritize revenue over fairness?
Many organizations have already built a strong ethical foundation by establishing acceptable use policies and adopting responsible AI principles, but without clear guidance, employees are left to interpret how to apply the principles themselves, increasing the risk of inconsistent and poorly supported decisions.
CCOEs are well positioned to help employees apply principles to practice because they already manage communication channels, training programs, governance forums and escalation processes.
CCEOs can help employees put AI ethics principles into practice by incorporating guidance into existing program documentation, e.g. a Code of Conduct; using existing governance structures to address ethical AI challenges; and reinforcing expectations through existing employee touchpoints, such as training, leadership communications and scenario-based discussions.
Compliance teams should adopt continuous learning and adaptation, using data and feedback to refine guidance and controls.
Shifting from reactive risk data to predictive signals helps organizations get ahead of emerging risks.
Empowering the business with self-service tools and tailored guidance makes compliance a more valuable partner.
Demonstrating outcomes and impact, rather than just activity, builds credibility and positions compliance as a strategic function
Gartner Enterprise Risk, Audit & Compliance Conference 2027 returns to Grapevine, TX, October 5 – 6.
Join us to uncover the latest assurance insights and solutions with Gartner anaylsts, peers and service providers to accelerate your business.
“This was my second year at the conference and it keeps getting better.Topics are current and the speakers are knowledgeable and do a great job.”
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