On February 20, finance leaders came together in Menlo Park for an exclusive CFO round-table focused on a rapidly evolving topic: ‘Agentic AI in Finance & Accounting’.

Hosted at the British Bankers Club, the session was structured around a clear agenda, moving from foundational understanding to real-world applications and, ultimately, implementation and ROI.

Understanding Agentic AI and Its Impact on Finance

The discussion began with a shared definition of Agentic AI: systems that go beyond traditional automation to act, adapt, and learn within financial workflows.

Unlike rule-based tools, Agentic AI introduces:

• Context-aware decision-making

• The ability to handle exceptions dynamically

• Continuous learning from financial data and processes

For finance teams, this marks a shift from task automation to workflow-level intelligence, with implications across accounting, reporting, and operations.

Key Opportunities: Efficiency, Accuracy, and Scale

The group explored where Agentic AI delivers immediate value. Three opportunity areas stood out:

• Improved accuracy through reduced manual intervention

• Lower operational effort by automating repetitive, high-volume tasks

• New efficiencies across workflows, enabling faster cycle times and better resource allocation

Rather than incremental gains, many participants pointed to meaningful productivity improvements across finance functions.

Real-World Use Cases in Action

A major focus of the session was practical application. Leaders discussed how Agentic AI is already being used across core finance processes, including:

• Invoice processing (AP): Automating invoice capture, data validation, and approvals

• Expense management: Streamlining payments, checks, and reconciliations

• Financial reporting: Accelerating data consolidation and reducing manual dependencies

These use cases demonstrated how AI is moving beyond isolated tasks to support end-to-end process execution.

Capabilities: Adaptability and Integration

Beyond current use cases, the discussion highlighted what makes Agentic AI fundamentally different: its ability to adapt and integrate.

Key capabilities explored included:

• Adapting to company-specific workflows and business rules

• Integrating with existing ERP and financial systems

• Supporting better decision-making through real-time insights

This flexibility is critical for finance teams operating in complex, evolving environments.

From Adoption to ROI: Making It Work

The final part of the conversation focused on implementation and ROI, how organizations can move from interest to impact.

Key takeaways included:

• Start with high-impact areas: Target workflows with high manual effort and clear ROI potential.

• Follow a phased roadmap: Begin with focused use cases, then expand as systems learn and mature.

• Measure both short- and long-term ROI

• Short term: Productivity gains, cost reduction, faster processing

• Long term: Improved decision-making and a more strategic finance function

The consensus was clear: successful adoption depends on balancing quick wins with a long-term transformation mindset.

A Structured, Collaborative Exchange

What set this round-table apart was its structured yet collaborative format. Each agenda topic built on the last, creating a clear progression from 

Understanding → Application → Execution.

The conversation continued over drinks and dinner, giving finance leaders the opportunity to exchange perspectives, validate ideas, and build connections with peers facing similar challenges.

Looking Ahead

The discussions in Menlo Park reinforced a key reality:

Agentic AI is no longer a concept to explore; it’s a capability finance teams need to operationalize.

As organizations move forward, the focus will shift toward how effectively they can implement, scale, and bring out ROI from these systems.

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Interested in how Agentic AI could apply to your finance workflows? Book a short call with our finance experts to explore where it can have the most impact.