I like how easy kapa.ai is to set up and configure. It's very trivial to connect new data sources, and it's very easy to link integrations within Zendesk, which is the CRM we use for support. It's just very easy to use. The reporting is pretty great too. It's easy to see how effective it's being and to spot what areas we can use to improve our documentation to make it even more effective. Kapa.ai helps us resolve issues before they even come to the support team, so a lot of the low effort tickets that would normally be sent to our team get deflected by the ticket deflector. It also gives our customers and our internal agents access to knowledge much faster. One interesting side effect is that onboarding takes about 50% less time, since our technical support engineers have access to all of our knowledge sources in one place and can quickly and easily ask questions. The initial setup was very easy.

Kapa.ai has proven to be a powerful tool for helping us support our user base quickly, and in a far more scalable way than we would have been able to otherwise. Its feature suite enables users to get answers fast and easily, while still giving us enough modularity to fine-tune the experience where it makes sense. The Kapa team is also highly collaborative and clearly cares about the user experience. They’ve worked with us to iterate on our feedback, and the overall experience across the feature suite is something our users find very easy to use. Kapa’s documentation is solid as well. It makes it easy to find quick answers, and it consistently covers most of the questions we run into.

We have a large, fairly technical set of documentation, and what I wanted was an AI assistant trained on it without having to build and babysit a model myself. That's exactly what this is. You point it at your docs and it handles the hard part. Users can ask a question in plain language and get an answer back that cites the page it came from, which matters a lot for technical content, where a confident wrong answer is worse than no answer at all. Two things stood out for us. One is an "Ask AI" option right on the docs site, so people get an answer in context instead of searching around. The other is being able to put it inside our support workflow, so the team gets a drafted, sourced answer they can check before it goes out. It's trained on our own docs, including the content we pull in from our repos.