Knowing that AI is only as good as the information you feed it, Databox mapped out an implementation plan for Fin AI Copilot that would lay the groundwork for success:
Step 1: Centralizing resources
The team began by consolidating all of their support documentation, including help articles, technical resources, and blog posts, into a single resource that Fin could draw from. “Once we had compiled everything, it was so easy for us to connect our help content to Intercom for Fin to access,” says Emil.
Step 2: Optimizing information
Next, they conducted a content audit to make sure that all of these resources were up to date and free of inaccuracies. By doing this, the team could be assured that the information being fed to Fin would enable it to provide correct and relevant suggested answers.
Step 3: Training the team
While Emil noted that the adoption of Fin AI Copilot was intuitive, he spent time explaining its value to his team to ensure they saw the immense potential it had to offer and bring them along on the AI journey. “It was important for us to communicate the benefit and the value that our team can draw out of a smart assistant like Fin AI Copilot,” he says.