Artificial Intelligence is everywhere right now. As with most emerging technology, the real opportunity for businesses lies in understanding how to apply it properly.
One of the biggest misconceptions we’re seeing in the finance industry is users treating AI chat and AI agents as the same thing.
They’re not.
For finance teams dealing with absolutes and requiring accuracy, that distinction is critical to understand.
Most people’s experience with AI begins with 'chat' and asking a Large Language Model (LLM) for help. You ask a question, it analyses everything it can access, and gives you an answer.
That can be a powerful tool for productivity and ideation, especially for summarising lease contracts, drafting reports, or explaining IFRS 16 concepts. But fundamentally, AI chat tools are reactive. They respond to prompts and rely on user input to move forward.
They don’t take action without your specific direction. They don’t execute workflows. They don’t operate independently.
For finance teams in particular, that means AI chat is useful but limited.
AI chat can be a powerful tool for productivity and understanding concepts. Agentic AI is where your business can be transformed.
AI agents are a different category entirely. Rather than simply responding, they are designed to complete tasks autonomously, including planning, deciding, and executing across multiple systems.
Where an AI chat answers questions, an AI agent is designed to achieve outcomes, including:
All without constant human prompting. Agents are built to integrate with tools and systems, enabling them to carry out multi-step workflows independently.
Finance is not a “single prompt” function. It’s a chain of interconnected, high-stakes processes, from data capture through to reporting, compliance, and audit, which is exactly where the difference becomes critical.
AI chat can help you:
But it cannot:
AI agents, on the other hand, are purpose-built for exactly this kind of environment, where accuracy, consistency, and repeatability matter. They can operate across systems, adapt to changing inputs, and execute tasks with minimal intervention, making them far more suited to finance operations.
Trying to solve operational finance problems with conversational tools can lead to:
In short, you get incremental efficiency, not the transformation that modern, effective finance functions are seeking.
At LOIS, we see AI as an enabler of better financial outcomes. We’re bringing both AI chat and AI agent capabilities to life within our platform to redefine how finance and lease management teams interact with their data. Our upcoming AI chat experience will allow users to ask natural questions about their leases, such as clarifying renewal terms, identifying key clauses, or uncovering obligations hidden deep within legal text, and then receive instant explanations drawn directly from the underlying lease documents. It’s a simple, conversational way to surface intelligence that often sits beyond the reach of traditional, structured systems of record.
Behind the scenes, our AI agent takes on the heavy lifting of transforming legal documents into usable data. By reading, classifying, and extracting lease details automatically, it accelerates the creation of structured lease records while maintaining a high standard of accuracy. Human oversight remains central to the process, ensuring every record meets compliance and quality expectations. Together, our AI chat and AI agent form a powerful combination giving teams both faster automation and deeper insight into the complex world of lease management.
For finance teams navigating complexity, from IFRS 16 compliance to portfolio-level lease management, understanding the difference between AI chat and AI agents is essential. Find out more about how LOIS can integrate into your finance ecosystem and boost efficiency here.