Scaled AI User Support
Every rollout hits the same wall: a user runs into something the training didn't cover, has nowhere to take it, and quietly concludes the tool doesn't work for their job. A standing support line closes that gap — a real place to ask, with an answer that comes back fast, so momentum never leaks away.
Two support tracks
A marketing manager stuck on an assistant and an engineer stuck on an AI coding tool need very different answers. We staff each with the right expertise, to an agreed response time.
For the non-technical majority — the people using AI assistants to draft, summarize, research, and get through their day. We answer the "how do I get it to…" questions, share the prompt that works, and keep them moving instead of guessing.
Monthly retainer · by user population and coverage
For the engineers using AI coding tools in their daily workflow. Deeper, technical answers — patterns, integration questions, and the gnarly cases that stall a build — from people who work this way themselves.
Monthly retainer · by seat count and response SLA
What's covered
You get agreed coverage hours, agreed response times, and a clear channel — so your people know exactly where to go and when they'll hear back. And you get to see whether it's working.
# Support desk — configured per client audience: - everyday users - developers coverage: - hours: business, your timezone - channel: one clear place to ask - response: agreed SLA per tier service: - tier1: unblock, fast - tier2: work + escalate - enable: nudge better habits report: usage: trending adoption gaps: feed next training
How it runs
Priced to the population you're supporting and the response level you need — billed monthly in advance, and it scales down as your own champions take more of the load.
Where this fits
Support pairs naturally with training and adoption — training builds the capability, and this keeps it from decaying the moment the sessions end. It's the difference between a launch that fades and one that compounds. You don't need to have trained with us to use it: if you already have AI tools in people's hands and no real support behind them, that's exactly where we plug in.
Tell us who's using what, and how quickly they need answers. We'll propose coverage, response targets, and a retainer that fits your user base.