Agentic AI: Bridging the Finance Execution Gap
The landscape of agentic AI in finance is rapidly evolving, offering new hope to finance teams struggling with execution. Despite high demand for AI in the financial sector, adoption has not kept pace. According to recent research from Pleo, a staggering 78% of finance professionals believe that mastering AI is crucial for the future of their roles. Yet, 68% of UK finance professionals report a significant lag in AI skills, training, and confidence. This gap between ambition and reality is where agentic AI, pioneered by Pleo, is making a profound impact.
Why Traditional Finance AI Isn’t Enough
Traditional AI in finance has reached a plateau, with capabilities that were groundbreaking just a few years ago now considered standard. The increasing complexity of finance means that more is expected of these systems, but 55% of UK finance leaders haven’t had a single uninterrupted day to focus on strategic work in the past month. Agentic AI in finance changes the paradigm by not simply waiting for instructions, but by autonomously executing tasks, allowing finance leaders to supervise rather than micromanage.
This shift is enabling finance professionals to direct their energy towards higher-level strategy and decision-making, rather than being bogged down by repetitive administrative duties. With agentic AI, the digital workforce becomes an extension of the finance team, streamlining processes and reducing manual effort.
Pleo’s Suite of Agentic AI Solutions
Pleo is at the forefront of agentic AI development in finance. By introducing a suite of five specialized AI agents, Pleo aims to create an extended digital team for organizations of all sizes. These agents automate routine tasks, freeing finance leaders to focus on the decisions that truly matter.
- Policy Agent: Already live, this agent enforces company spending rules in real-time by checking every transaction against established policies.
- Expense Agent: Captures card transactions, locates receipts, writes memos, applies General Ledger codes, and submits claims automatically.
- AP Agent: Processes invoices received via email, creates records, codes them, schedules payments, and tracks approval status from start to finish.
- Treasury Agent: Optimizes cash flow, schedules payments, and highlights budget risks before they escalate.
- Accounting Agent: Handles transaction coding, account reconciliation, and closing of books, minimizing manual intervention.
For over a decade, Pleo’s focus has been on making the lives of finance leaders easier. What began as a solution for expense management has now evolved into a comprehensive platform powered by agentic AI in finance, covering the full spectrum of financial operations.
Seamless Integration and Composability
Pleo’s agentic AI tools are designed for ease of integration. Starting summer 2026, organizations will be able to access these AI agents in two ways. The first is through Pleo-provided agents that work seamlessly within popular communication platforms such as Slack, Microsoft Teams, WhatsApp, and SMS. This approach eliminates the need for new apps, with the AI agent fetching receipts from email inboxes or notifying the appropriate person when budget thresholds are crossed.
The second option caters to organizations already utilizing personal AI agents. Pleo’s MCP interface allows direct connection to financial data, enabling employees to use tools like Claude, ChatGPT, or Microsoft Copilot to query spending, process expenses, and generate reports without switching platforms. This composable infrastructure ensures that every financial insight is informed by deep expertise in European complexity and compliance.
Empowering, Not Replacing, Finance Leaders
A common concern with the rise of agentic AI in finance is the potential threat to finance jobs. However, Pleo’s vision is clear: agentic AI is meant to empower finance leaders, not replace them. High-level financial strategy will always require human expertise, while AI agents handle the execution. By shifting from static dashboards to dynamic, action-oriented AI agents, finance professionals can focus on supervision and strategic oversight.
Pleo envisions a future where coordinated agent networks handle the execution of spend decisions, while humans provide the oversight and strategic direction necessary for success. This transformation will allow finance teams to lead with greater insight, efficiency, and innovation.
The Future of Finance with Agentic AI
Looking ahead, Pleo aims to establish itself as the AI-powered operating system for company spending. Agentic AI in finance will automate the control, payment, recording, and optimization of every financial decision. This evolution promises high performance with minimal interruptions, allowing finance teams to prioritize human decisions and leadership while AI agents manage the operational workload. Ultimately, this is how finance can overcome its AI adoption challenges and unleash its full potential.
This article is inspired by content from Original Source. It has been rephrased for originality. Images are credited to the original source.