Blog

AI support simulation testing replays your solved tickets through the agent with nothing sent. How many tickets you need, how to grade, and which helpdesks can do it.

How to run an AI support security review: scope it by what the agent can do, give each step an owner, test on your own tickets, then go live in gates.

An AI support implementation timeline from real rollouts: 2 to 8 weeks, a week-by-week plan, and why the weeks go to knowledge and approvals, not the tech.

An AI support vendor evaluation checklist with 30 checks, a scorecard you can tick per vendor, and the 6 checks that actually separate one vendor from another.

A copy-ready AI support RFP template: pass/fail gates, vendor questions with strong answers, a weighted scorecard, and a test on your own past tickets.

How to use AI for NPS analysis: tag every comment by theme and sentiment, split by promoters and detractors, pick the right tool for your volume, and close the loop.

How AI for customer education works: answer how-to tickets with steps from your docs, sort why customers ask, and turn the questions into better articles.

How AI improves help center search: why keyword search misses articles that exist, what Zendesk, Gorgias, Help Scout and others ship, and how to measure it.

AI for tier 2 support works as an investigator, not a chatbot: it does the lookups, finds past fixes and hands the specialist a case file. Here is how to set it up.