Now could that be fixed? From a tech perspective of course it could. However there’s probably a deep organizational reason this hasn’t happened. In this case, it’s because city C is a bunch of customers they bought during the windup of a bankrupt life insurance company and are running them down over time. So there probably isn’t enough profit in the portfolio they are running down to justify the IT investment.
As I say, these are the kind of things a chatbot (however smart) isn’t going to be able to fix.
The AGI, via DuplexAI, could just call up the office in city C and ask. It's been calling restaurants to get their hours for years. Having it call a listed phone number to ask a person about an account doesn't seem far fetched at all to me.
In any event we're in danger of fixating on my original example and missing the broader point which is that any system or intelligence, human or otherwise, is limited by the data it is able to access. If a company has a very messy and/or disfunctional data landscape[1] then it is difficult bordering on impossible to paper over the cracks with systems or operational processes.
[1] which I gave an intentionally extreme example of, but lots of companies are formed from multiple acquisitions or have systems built by rival IT groups in different parts of the org or by outside vendors or contractors etc so a milder form of this is very common in my experience.