When your customer thinks fewer support calls means you’re growing apart 😂
DocsBot can handle the questions, give Milton a break.
AI support should give customers a useful answer when the answer is known—and a better human conversation when it isn’t. Good self-service doesn’t hide the team. It helps the team show up where people matter most.
Before an AI support pilot, score 8 things: repeated questions, approved sources, source owners, conflict rules, escalation triggers, handoff context, outcome metrics, and weekly ownership. The disagreements matter more than the score.
The best first support agent is usually narrower than the roadmap: approved content, one audience, explicit escalation, read-only tools unless writes are necessary, and one failure-review owner. Expand from observed demand.
30-minute weekly AI support loop: 10m review weak/escalated chats. 10m fix the highest-leverage source. 5m retest 3 variants. 5m log the change and watch the trend. Small owned loops beat quarterly cleanups.
Founder-led support is a superpower until it becomes a dependency. Repeated questions are documentation debt sending an invoice. Turn the answer into an owned source, then test whether customers can actually use it.
If you measure only deflection, a dead end can look like success. Pair volume with answered rate, customer outcome, escalation quality, repeat contact, and the problem questions that should improve your docs.
Connected docs are not automatically current docs. For every support source define: owner, update trigger, refresh expectation, conflict authority, and post-release retests. Sync helps. Ownership keeps it meaningful.











