The Case for AI-Enhanced Testing in Treasury

AI is everywhere – but many treasurers still struggle to move beyond the hype and identify real, value-adding applications. That’s why in this blog series, we’ll explore four practical use cases in depth, each resulting in a concrete, actionable application you could begin implementing tomorrow. 

In this blog, we focus on one of the most time-consuming challenges in any treasury transformation: system testing. Testing remains highly manual, repetitive, and resource-intensive. But the rise of AI agents is changing the game, offering a way to make testing faster, more intuitive, and highly repeatable. 

The Challenge 

Testing is at the heart of every treasury transformation. It’s a meticulous, iterative process: before you even begin, you need a robust set of test cases that reflects your specific workflow to ensure every critical scenario is covered, without drowning in an endless list. Then comes the manual execution, documentation, and feedback cycles, repeated again and again until every issue is resolved. 

Even after go-live, the work isn’t over. Regular system updates and configuration changes mean more rounds of regression testing to catch any unexpected side effects. It’s essential work, but it can be a real drain on time and resources. 

Now, thanks to AI, there’s a smarter way. 

The Solution 

AI agents are autonomous actors that can interact directly with your web browser and through that with your Treasury Management System (TMS) to complete tasks and resolve issues. Imagine instructing an AI agent in plain language, and watching it execute complex test cases right in the user interface. The agent is able to navigate to the right page, fill in information in the forms, the buttons, and record output. The flexibility of these agents even allow them to identify error messages and validate the result of a set of actions.  

Armed with vendor documentation, solution designs, and implementation blueprints, the AI agent proposes a comprehensive set of test cases and relates those to actions in your system of choice. Users can easily add their own scenarios by simply describing the workflow. The agent then navigates the system, executes the tests, and records the results, all autonomously. 

Worried about safety? Don’t be. Today’s test automation tools come with robust guardrails: 

• Test environments only: No risk to production. 

• Controlled user rights: The agent gets only the permissions it needs. 

• Plan mode: The agent presents its action plan for human approval before anything runs. 

With these safeguards, the risk of unintended actions is virtually eliminated—while the efficiency gains are game-changing. 

You can build AI agents in-house, but many organizations will benefit even more from cloud-based platforms. These solutions: 

• Lower deployment costs and speed up implementation 

• Offer ready-made integrations 

• Enable users to share successful test scenarios 

At Zanders, we’ve developed an AI-powered test suite that plugs directly into leading cloud TMS platforms—empowering treasurers to accelerate testing without sacrificing control. 

A Real-World Example 

Let’s make this tangible. Suppose you want to test a workflow for adjusting FX exposure and generating a report. The AI agent, using system documentation and blueprints, proposes relevant user flows. One test case might be: 
“Change the EUR/USD exchange rate to 1.12, create a new EUR/USD FX Forward with a six-month maturity, and run the FX Exposure report.” 

The agent executes these steps, records the results, and once the optimal route is captured, can repeat the test autonomously and even evaluate the outputs itself. Over time, you build a powerful, reusable suite of automated test scenarios for both transformation projects and ongoing regression testing. 

Conclusion 

AI in treasury is no longer a futuristic possibility, it’s a practical, high-impact technology that treasury teams can start leveraging today. Do you want to explore automated testing? Contact us! Are you interested in other concrete use cases, learn more about transforming your treasury operations for the digital age.