All 2027 Conference Sessions

Gartner Finance Symposium/Xpo 2027 dives deep into key topics for finance around AI, leadership, talent, strategy and more to help you address your organization's mission-critical challenges.

2027 Conference Theme

Orchestrating Enterprise Performance in an AI-First World

This year’s conference theme focuses on how CFOs must lead organizations where people and digital workers collaborate, using real-time insights. As AI risk compounds and pressure to demonstrate value grow, CFOs must unlock capacity, elevate talent and empower teams to drive performance and profitable growth.

Explore our conference sessions below, all developed with this theme in mind.

View track descriptions.

Experience how CFOs and finance leaders gain practical insights, exchange ideas with peers and engage in relevant discussions that help them to strengthen their impact as a finance professionals.
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There are many sessions happening each day. Filter to see sessions that align with your role and interests. After registering for the conference, craft your agenda and book priority sessions — all through Conference Navigator.

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Monday, 01 March, 2027

10:15 AM - 10:45 AM AEDT

AI Agent Governance 101: A CFOs Guide to Making AI Agents Safe at Scale
Ash Mehta, Sr Director Analyst, Gartner
Most finance organizations are building AI agents faster than they are governing them. For CFOs, this creates a new class of financial, operational and accountability risks that cannot be managed with traditional controls alone. This session provides a practical, 101-level introduction to AI agent governance for CFOs and finance leaders who need a clear starting point, not a technical deep dive. It explains the foundational concepts, vocabulary and governance building blocks required to scale AI agents responsibly, including how to establish policies, monitoring practices, escalation paths and human oversight. The session also explores how finance teams can maintain accountability through effective collaboration between human analysts and AI agents. Attendees do not need prior AI or technical experience. They will leave with a practical framework for understanding where AI agent risks arise, how to organize governance responsibilities and what first steps finance leaders can take now to govern AI agents safely before scale makes the risks harder to unwind. ... Show More Show Less

11:45 AM - 12:15 PM AEDT

3 Strategic AI Mistakes CFOs Are Making Right Now
Geraldine Garaud, Sr Director Analyst, Gartner
The pressure to invest in AI has created a new generation of strategic risks. This session explores three AI strategy mistakes emerging today and the actions finance leaders should take before they become enterprise constraints.

Mistake #1: Treating AI as a Productivity Initiative Rather Than a Business Model Shift
Most organizations justify AI through productivity gains, cost reduction, and automation. While efficiency matters, AI capabilities will increasingly become accessible to everyone. As competitors gain access to similar models, copilots, and agents, sustainable advantage will come not from eliminating work faster but from reimagining how the enterprise creates value. The critical question is: How does AI change the business model, decision-making, and sources of competitive advantage?

Mistake #2: Treating AI as a Technology Investment Rather Than a Capital Allocation Decision
Over the next three years, the most important AI decisions may not be technology decisions at all. Organizations must determine where to invest scarce resources: people or AI, build or buy, centralized or distributed intelligence, efficiency or growth. The winners will not necessarily be those spending the most on AI, but those reallocating capital, talent, and investment priorities the fastest.

Mistake #3: Assuming Governance Is the Primary Constraint
Today, many organizations view AI risk management as the central challenge and are investing heavily in policies, controls, and oversight. Yet the greater challenge may be managing complexity. Enterprises are rapidly moving toward a future with hundreds of AI agents, multiple platforms, distributed decision-making, and blended human-digital workforces. The question evolves from "How do we govern AI?" to "How do we coordinate an enterprise where intelligence is distributed across people, agents, models, and systems?" ... Show More Show Less
Tuesday, 02 March, 2027

11:45 AM - 12:15 PM AEDT

Build C-Suite AI Accountability: Name. Prove. Own.
Andy Rowsell-Jones, Distinguished VP Analyst, Gartner
AI success isn’t a solo act. It’s a team sport at the top. In this session, we’ll reveal why AI value so often slips through the cracks and how smart C-suite moves — like strategic "treaties" and funding gates — turn potential into profit. Walk away with bold, actionable tactics to close the value gap and ensure your AI investments deliver real business impact. No scapegoats required. ... Show More Show Less

11:45 AM - 12:15 PM AEDT

Govern AI Decisions Before AI Makes Them
Valeria Di Maso, Sr Director Analyst, Gartner
As organizations increasingly rely on both people and AI systems to make decisions, CFOs face a growing challenge: ensuring business decisions remain consistent, explainable and accountable. While most AI initiatives focus on data quality, governance and model performance, many finance leaders are discovering a more fundamental problem. Different people, dashboards, planning systems and AI tools can interpret the same performance signal differently and recommend conflicting actions. The result is slower execution, lower trust in AI, inconsistent decision-making and reduced business performance
This session introduces Gartner’s emerging perspective that the next frontier is not AI governance, but decision governance. Organizations that successfully orchestrate enterprise performance in an AI-first world will not be those with the most AI. They will be those that ensure people and digital workers operate from the same business drivers, decision logic and information standards. Attendees will learn a practical three-step framework for closing the AI Decision Accountability Gap by governing decision logic, governing where metrics are authorized to influence decisions, and establishing decision-ready information standards that support both human and AI-enabled decision-making ... Show More Show Less

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“The value and breadth of information is outstanding. I thought I had delved into a lot of research online, but the conference adds a dimension and richness that has been insightful. I’ve learned new concepts and ideas to put into practice.”

Connagh Hopkins
Head of Business Planning and Reporting, Western Power 

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