For those using the new (aka “Advanced”) AI agents, I’m curious how many use cases you have or what would be considered “normal.” I feel like I’m setting up a lot, but maybe that is actually normal.
New AI Agents
At my company Zone Air DIY Mini Splits we have normalized using AI agents with rententive memory to be a evolving personal assistant. It has doubled our employees productivity
- Employee
Hey KR!
There isn’t really a “normal” number of use cases, in theory you could even not have any as the replies from the knowledge base could handle most of the queries.
Of course some topics are better handled through a procedure and that’s where use cases show their value. Some customers also create use cases simply to add a tag to the ticket, a bit like Intelligent Triage does in Copilot.
In summary, I’ve seen bots with no use cases, 3-4 use cases, 30 use cases or 200+. Depends on your goals with the bot and how much customizability you need to answer your customers’ queries!
I had the same question when I started out, however, there isn’t a one size fits all answer and it’s what works best your organisation. For an internal use case I am working, it is a bot to help guide users to the correct team in the business (we have over 12 departments with each department having multiple regional teams). For this approach I went with a use case per department. I then plan to build on this in time with use cases per particular tasks and tweaking the original use cases.
I hope this helps!
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