View Full Video Script
1:13 min
View Full Video Script
-
Where the controller agent is very good actually, at is applying a level of logic
-
to its answers. I found it was really useful because it would say things like, "Oh,
-
your receivables provision looks low compared to
-
other businesses," or "One business seems to be out of line with the others." And
-
that's actually quite useful analysis just to help guide us in the direction of
-
where we then look as a team to look at what's going on.
-
But actually understanding where the problems are and finding
-
them, getting good analysis and insight on the problems, that's where the time gets
-
saved. That's where I find it very helpful to have a tool that can point us in the
-
right direction quicker. It was pretty easy to figure out how it worked because
-
you've got a few command prompts, and if you've used ChatGPT or something
-
similar, it functions very similarly.
-
Where we spend most of our time is analyzing the data and trying to find where
-
the problems are. So having the agents that can investigate a
-
lot of variances,
-
quite deep levels of the data very quickly, that saves us a lot of time just
-
guiding us to the areas that we need to look at.
-
So yeah, instead of building a new report and then another new report to get a bit
-
closer and a bit closer to the answer, it's much better to be able to just ask a
-
question and then zero in on it.