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Give your support team back the hours the queue steals.
A team of AI agents we build and run owns the whole ticket, from first resolution to the drafted reply to the escalation to the CSAT follow-up to the knowledge base, each one handing off to the next. Your team spends its time on the conversations that actually need a person.
The kind of team we build for customer support.
This is a representative roster. We build yours from your SOPs, so the agents, their steps, and the tools they touch match how your team actually works. Each owns a full workflow, they hand off to each other, and your people own the judgment calls.
Owns the known-pattern queue: matches the ticket, resolves it start to finish with no human first-touch, and logs how it was solved.
Anything without a known pattern needs a written answer, not a canned one. It routes on.
Owns the written answer: drafts from the record and the knowledge base, pulls the account's full history, and hands a human something ready to send.
What a human can't answer alone gets routed on with the draft already attached.
Owns escalation: spots the ticket that needs a specialist, routes it to the right team, and attaches the context so nobody re-asks the customer.
An escalated ticket is the one most likely to breach. It goes straight to the top of the clock.
Owns the clock: watches every ticket in the queue against its SLA and escalates the one about to breach before it does, not after.
How fast it got answered is the single biggest driver of the score that comes next.
Owns the satisfaction loop: follows up the moment a ticket resolves, rolls every signal into one number, and flags what went badly.
A bad score points straight at the article that should have existed already.
Owns the knowledge base: turns every resolved ticket into an article, fills the gaps bad scores exposed, and publishes into the help center.
Every new article becomes a pattern the resolver can deflect against. The loop closes, and fewer tickets ever reach a human.
The tool sprawl customer support teams live in.
A tool for every problem, a person to glue them together.
A help desk or HubSpot for tickets, Slack threads for anything that turns into a fire drill, Jira or Linear when a bug needs an engineer, and a Notion page holding whatever the macros don't cover.
“Definitely knowledge base and internal comms. Takes ages to find the relevant policies/info, nobody knows whats going on, no centralised updates, just scrolling through days and weeks worth of chats for important updates and info on how to do our jobs.”
6 tools, no shared record, the owner is the integration layer.
One shared record, inside the tools you already use.
The agent team absorbs the assembly work. Your people own the judgment calls. A named operator owns the operating metric we baselined together.
- Resolve the tickets that match a known pattern, with no human first-touch
- Route the tickets that need a specialist and attach the context, not just the ticket number
- Turn resolved tickets into KB articles the next ticket can deflect against
- Watch the SLA clock and flag the reply about to breach before it does
- Follow up after resolution and roll CSAT into one number leadership can trust
Where customer support actually lose margin.
Support was hired to solve the customer's problem, then handed a second job: triaging everything that lands in the queue as if it carries the same weight. Because tickets, escalations, and the knowledge base live in different tools, the same question gets answered from scratch every time, and the fix that would stop it from recurring never gets written down. A bug report and a password reset wait in the same line, so the ticket that actually needs an engineer sits behind ten that a template could have closed. By the time a pattern is obvious enough to act on, the account has already filed three tickets and rated the experience accordingly.
An always-on agent owns this. A human approves at the judgment point. The output lands in the same shared record everyone reads from.
What we hear, verbatim.
“It's literally just password resets, 'help, my internet is slow,' and printer problems. it's the same 10-15 issue types cycling constantly.”
A named operator, then a team of agents that runs it.
Your agent team goes inside the tools you already use. No migration, no new platform.
Month to month after a 90-day proof. Metric guarantee included.
Different function, same villain.
A team of AI agents we build and run owns the full cycle, from the prospect list to the outbound to the booked call to the clean forecast, each one handing off to the next. Your reps sell and RevOps stops reconciling.
A team of AI agents we build and run owns the full workflow, from the report to the brief to the ranked page to the lifecycle send, each one handing off to the next. Your marketers spend the week on strategy and creative, not exports.
A team of AI agents we build and run owns the full workflow, from kicking off the process to routing the approval to keeping the record clean to reporting on the week, each one handing off to the next. Operations designs the process instead of chasing it.
Run leaner and higher-margin, without hiring to do it.
Start with the discovery call. We will show you where your margin is leaking, then exactly how to fix it.
We onboard a limited number of teams each month, set by the number of named operators available to run them.