Revolutionizing Finance with AI: Key Insights from the Gartner CFO Conference




This year's Gartner CFO & Finance Executive Conference was a vibrant showcase of sessions and hands-on demonstrations by providers in finance and operations. The focus was on growth strategies, cost management tools, and the burgeoning role of artificial intelligence in finance. Conversations at the event highlighted three crucial aspects for finance leaders to consider when embarking on their journey with AI agents.
The first step involves automating high-impact processes to build momentum and deliver measurable value. Secondly, establishing a Center of Innovation can upskill teams and foster experimentation. Lastly, collaboration with IT is essential to define human-agent operating models that scale effectively.
Starting with High-Impact Automation
AI-powered finance doesn't necessitate an entire overhaul but can begin with targeted steps that yield immediate results. Focus on areas ripe for automation, such as financial close, account reconciliation, and supplier communications, which offer significant benefits using prebuilt solutions like Microsoft Dynamics 365.
For instance, the Supplier Communications Agent can manage vendor emails and supply chain disruptions automatically. Beyond existing prebuilt options, Microsoft empowers professionals to craft custom agents for ERP processes. These agents can assist in updating tax strategies or providing real-time audits, significantly reducing manual data retrieval time while enhancing decision-making through instant insights.
Fostering Innovation and Collaboration
To ensure successful AI adoption, it's vital to establish a Center of Innovation where teams can explore, test, and scale use cases securely. This hub facilitates experimentation, governance, and best practices, aligning AI initiatives with business goals. By creating low-risk environments for testing, teams can experiment freely, fostering curiosity and continuous improvement.
Microsoft’s own journey exemplifies this approach, with structures in place to support AI adoption. Additionally, collaboration with IT is pivotal in defining how humans and AI will collaborate effectively. Defining clear roles ensures that repetitive tasks are handled by AI, allowing humans to focus on strategic decisions. Early collaboration with IT on security and permissions is critical for implementation success, ensuring sensitive financial data remains protected while driving optimal outcomes.