The support automation playbook

Support is the ideal first workflow to automate: high volume, clear success signals, and a rich history of past resolutions to learn from. Done well, an AI support employee raises satisfaction while reducing response times.

Begin with your knowledge base, not your ticket queue. An AI employee is only as good as the sources it can cite, so invest in clean, current documentation before turning on automation.

Route by confidence. Let the system resolve the questions it is certain about, draft replies for the ones it is unsure about, and hand off cleanly to a human for everything else — always with the full conversation context attached.

Measure deflection and satisfaction together. Deflecting tickets while frustrating customers is a false win; the target is resolving more issues while maintaining or improving the experience.

Finally, close the loop. Every human correction should feed back into the knowledge base so repeat questions become easier to handle.