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Where the controller agent is very good actually is applying a level of logic to
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its answers. I found it was really useful because it would say things like, "Oh,
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your receivables provision looks low compared to other businesses," or, "One
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business seems to be out of line with the others." And that's actually quite useful
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analysis just to help guide us in the direction of where we then look as a team.
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But actually understanding where the problems are and finding them, getting good
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analysis and insight on the problems, that's where the time goes.
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So that's why I find it very helpful to have a tool that can point us in the right
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direction quickly. It was pretty easy to figure out how it worked because you've
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got a few command prompts. And if you've used ChatGPT or something similar, it
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functions very similarly. Where we spend most of our time is analyzing the data and
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trying to find where the problems are.
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So then having the agents that can investigate a lot of variances, quite deep
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levels of the data very quickly, that saves us a lot of time just guiding us to the
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areas that we need to look at. So instead of building a new report and then another
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new report to get a bit closer and a bit closer to the answer, it's much better to
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be able to just ask a question and then zero in on it.