In this Awardco Academy Bite, I sat down with Isaiah Bryson to talk about what useful AI inside Awardco actually looks like today and where it is heading next. Instead of using AI just because it is trending, Awardco is focused on using it in ways that help people recognize more often, save time, and take more meaningful action inside the platform.
Key Takeaways
- Awardco’s approach to AI is practical. The goal is not AI for AI’s sake. The focus is on making recognition, rewards, and engagement easier and more effective.
- Recognition Assistant helps reduce the blank-page problem. It gives employees a starting point when writing a recognition, which can make recognition faster, easier, and more meaningful. The Recognition Assistant builds off of the company values added to the platform through Hashtags.
- AI can support external recognition approval decisions. The Bite highlights how AI recommendations can help admins decide whether a customer recognition should be published, adding confidence and consistency to the process.
- The bigger value for admins is momentum. AI is being built to help admins surface insights faster, take action more easily, and make Awardco feel more intuitive to work in.
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