What is Agentic AI for finance and accounting?
Agentic AI in finance and accounting pertains to autonomous AI systems that act as more than mere tools. It goes beyond assisting to independently executing goal-driven financial tasks with awareness and thorough understanding of the business context.
Yet, Agentic AI in finance is designed to work within the bounds of human oversight of finance professionals and ensure that every decision and action is explainable and reversible.
How does Agentic AI work in finance?
Agentic AI applications in finance can make decisions and take actions proactively based on data trends and patterns. Key Agentic AI use cases in finance include autonomous account reconciliation, data monitoring, fraud surveillance, contract and document analysis, evidence and audit generation. Multiple finance AI agents can also collaborate across different systems, under human oversight for efficient and accurate outcomes.
How are AI agent applications in finance reshaping the future of finance?
Finance AI agents are designed to work with intent in collating data, understanding context and outcomes and pivoting change in real-time. In collaboration with humans, AI agents for finance monitor transactions in real time, align them with controls, flag anomalies and recommend remediations.
AI agents for finance teams enable them to free their time for more judgement-intensive work and creative thinking. For example, WNS’ TRAC ONE-F’s modular design embeds agentic AI into core finance processes, automating complex workflows and enabling teams to focus on strategic priorities.
What is the difference between traditional automation and AI agents for the finance industry?
Traditional automation in finance reacts efficiently to triggers but lack the anticipatory capability of AI agents. Neither can traditional automation understand context as AI agents can. Plus, automation debt increases as systems evolve with change.
Agentic AI in finance and accounting delivers always on data coverage and monitoring, autonomous execution — with transparency and visibility.
What are the benefits of Agentic AI for finance leaders?
AI agents in corporate finance are best for finance leaders in providing them impactful outcomes, speedy closes, minimal errors, and more effective controls. They accelerate closes, significantly reduce risks and strengthen governance.
Finance leaders become more confident in the integrity of their financials. Most importantly, they free senior leaders’ time for strategic thinking.
What are the best practices in introducing Agentic AI in finance and accounting?
Some best practices in implementing agentic AI in finance include:
- Identification of high-effort and high-risk areas of operations to introduce autonomous agents
- Thorough auditing of the governance framework to introduce Agentic AI for best outcomes
- Comprehensive evaluation of data integrity to make it ready for Agentic AI
- Providing the right training and motivation to people so that they can work alongside autonomous agents to enhance their performance
Back to Glossary 