TechBuddy

How to roll out an internal AI assistant without it backfiring? You build an internal AI assistant and you get the basics right - you identify where it can help, define stakeholders and use a small testing group to build a functional AI assistant. Now you want the rest of the company to start using it. How to do it? The best approach we’ve found is to setup a roadmap and go department by department (or just a group of people that want to use the tool for the same use-case): - “Tech support wants to quickly find answers to customer problems.” - “R&D wants to reference old notes when prototyping new models but there’s too many of them.” - “Maintenance wants to be able to quickly get history of work done on their machines.” Start with the ones where the use-case is the clearest and measurable - for us it is often tech support. In that department, find a small group of champions, 2-3 people, and iterate with them so that the solution is accurate and it fits in their workflow (style of answer, features they need, which documents are actually used, ….). Iterate and improve on these champions before you release it to the whole team. If the solution is half baked, people are going to get fed up and trust is not easily earned back. Or come talk to us about how we do it at TechBuddy 👋

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