Executives are repeating the errors in their management of Agentic AI that were previously seen with Generative AI.

Executives are repeating the same error in their handling of Agentic AI as they did with GenAI.

In the realm of finance, a select group of visionary leaders are steering the ship towards a future defined by autonomous processes. While many CFOs remain apprehensive about relinquishing control, these pioneers are shaping the next decade of financial operations.

The operational tasks that currently consume finance teams' days will soon run themselves, freeing these professionals to focus on analysis, strategy, and high-value work. However, the adoption of autonomous AI agents is not without its challenges. A Capgemini report reveals a drop in trust in fully autonomous AI agents, with the percentage dipping from 43% to 27% in just a year.

The parallels between the adoption of generative AI and agentic AI are striking, with CFOs citing the same concerns about lack of control, unclear ROI, and questions about reliability. Two years ago, a Deloitte study found that only 15% of CFOs were building generative AI into their strategy.

Yet, the cost of playing it safe in adopting agentic AI could result in being left behind. As other CFOs automate their cash application processes, they reap benefits such as faster payment processing, reduced Days Sales Outstanding (DSO), and a focus on strategic initiatives.

These entry points are measurable and contained, allowing for pilot testing, tracking results, and gradual scaling. However, it's worth noting that specific names of financial executives who have implemented autonomous processes in financial administration are not explicitly mentioned in the available search results. The data highlights general trends in technology adoption and operational challenges in finance and legal departments but does not identify particular individuals or firms.

The stakes are higher, the potential returns are greater, and the window for first-mover advantage is narrowing faster than before with agentic AI. For instance, David Zwick, the CFO of Billtrust, is among those who have taken the plunge.

The Forbes reports that 74% of early adopters of agentic AI are already seeing measurable ROI, including revenue growth, improved productivity, and stronger cybersecurity. Start with high-volume, repetitive tasks in accounts receivable like payment matching, dunning sequences, and basic dispute resolution. Unlike broad AI initiatives, value can be proven quickly, and confidence built before expanding to more complex processes.

The good news is that adopting agentic AI doesn't necessitate a leap of faith, but rather strategic thinking about where human error is costing more than potential AI mistakes. The most successful CFOs are those who recognize inflection points early and act decisively when the risk of inaction exceeds the risk of action, particularly with agentic AI in finance.

In conclusion, while the journey towards autonomous financial operations may seem daunting, the benefits are undeniable. By embracing agentic AI, CFOs can accelerate workflows, decision-making, and operations redesign, ultimately propelling their organisations into the future.