Rachael Murphy

At one point or another, every support leader has been handed a brief that requires their team to absorb more volume, hold the line on cost, and do it all without adding more people.

Your case submission form has had more investment than almost anything else in your support operation.

Every technical support leader I talk to has seen the same slide: a vendor claims 80 to 90% ticket deflection, and the room goes quiet for a second. Then that leader goes home, pulls their own case data, and can't find anything close to that number. It's not that the vendor's math was wrong. It's that the number was never measuring their impact on ticket volume in the first place.

Most knowledge tools automate writing. The harder problem, and the one that actually limits support teams, is knowing what to write in the first place. There are thousands of recurring issues you could potentially write about. Knowledge gap analysis is how you decide which issues deserve an article using evidence instead of guesswork.

An AI knowledge base is a knowledge base that AI both maintains and draws from. It finds what's missing, drafts articles from real resolutions, and keeps documentation current, so that every AI capability on top of it has accurate, trusted information to work with. 

Customer self-service is the ability for customers to resolve their own issues without opening a case via channels like a help center, portal, or in-product experience.

Most support organizations buy self-service and knowledge management as separate projects, run by separate owners, on separate timelines. Then they wonder why deflection plateaus after the first quarter.