Agent teams, not dashboards
Hire an agent team to run a real piece of your operation.
Sheerline builds agent teams that take over a real piece of your operation, end to end — the way you'd hire someone to own it, except this one runs around the clock and stops for your approval on anything that matters. Today, that's customer support.
Today: a support bot that answers from what your team already knows.
Forty tickets a week, all some version of a question your help center already answers — if the customer could find it. Sheerline is grounded in the sources your team already trusts: your knowledge base, past tickets and team chat, and your files. It answers straight, resolves what it can on its own, and hands off with the full picture attached when it can't.
Can I roll over my unused seats to next quarter, or do they just expire?
Unused seats roll over once, for one billing cycle — after that they expire. You currently have 6 unused seats from this quarter, so they'll carry into next quarter automatically.
Source: Help Center — "Seat rollover policy"How it's different
Grounded in your business, not a demo.
Every answer traces back to your actual knowledge base, tickets, chat history, or files — not a generic model default dressed up with your logo. A wrong answer said confidently is worse than no answer; we're built around not doing that.
Approval is structural, not on the job itself.
The agent does its job on its own — gating every step behind a person would defeat the point. But anything that touches money, an account, or something published on your behalf stops for your sign-off, and that boundary is built in, not a setting you have to remember to turn on.
We're the proof, not just the pitch.
Sheerline itself runs on the same architecture we sell: agents that do one bounded piece of work and hand it off, human approval at every consequential step, nothing hidden in a black box. We run our own company this way because we have to — before we sell you a workflow, we've proven it on ourselves.
Sheerline answers your customers' questions using your own knowledge — end to end — so your team only sees the ones that actually need a person.