Agents that resolve customer issues end to end — grounded in your product and docs — with your team on the cases that need a human.
Book a callHandle the volume your team can't, grounded in your real product, with humans reserved for the hard cases.
Handle tickets from first reply to resolution — not just a deflection bot.
Answers come from your real docs, help center, and systems.
Classify, prioritize, and route what needs a human, with context attached.
Email, chat, and in-app — one consistent agent across them.
Execute refunds, updates, and account changes within your guardrails.
Surface trends, gaps, and at-risk accounts from every conversation.
Why this is harder than it looks.
A bot that keeps a customer from opening a ticket has not necessarily solved anything — it may have just moved the frustration somewhere you cannot measure it. Resolution is a harder number to move and the only one worth optimizing, because it is the one the customer experiences.
Most tickets do not end at an explanation. They end at a refund issued, a plan changed, an address corrected, a licence reassigned. An agent that can only talk hands every one of those back to a person. Agents that can act inside your systems — within explicit guardrails on what they may touch — are what turn a good answer into a closed ticket.
Some tickets need judgment, discretion, or the authority to make an exception. Those should reach a person quickly and arrive with everything already gathered: the history, the diagnosis, the attempted steps. Escalation with full context is the difference between a handoff and a restart.
The support queue is the most honest product feedback channel a company has, and it is usually read only in aggregate once a quarter. Running across every conversation surfaces the documentation gaps, the recurring failure, and the accounts whose tone has changed — while there is still time to do something about it.
Escalates with full context when judgment is required.
Scoped access and audit trails protect customer data.
Integrated with your help desk and product, fast.
The same three moves on every engagement, whatever the workload.
Forward-deployed engineers sit with your team to learn the real workflows, constraints, and definitions of done.
We stand up intelligence around your systems — scoped, secured, and shaped to your operation from the first build.
What ships keeps improving and stays yours, so the value accrues to your organization over time — not the vendor.
Exactly what you scope it to do, and nothing else. High-consequence actions can require human approval, sit behind rate limits, or be excluded entirely — and because those rules are enforced by the platform rather than written into a prompt, no phrasing talks the agent around them.
It answers from your real documentation, help centre and systems rather than from general knowledge, and cites what it used. When your product changes, the source changes and the answers follow.
It escalates, with the conversation, the diagnosis and what it already tried attached. A confident wrong answer costs more than a fast handoff, and the system is tuned on that assumption.
That is your call and we build to it. Most teams we work with are straightforward about it, because the experience holds up — the agent resolves the issue, and the handoff to a person when needed is clean.
Real-time voice agents that answer, qualify, and resolve over the phone — grounded in your systems and handed off cleanly when a human is needed.
A single intelligence layer over your documents, tools, and tribal knowledge — so anyone can get a grounded answer in seconds.
AI readiness check
A five minute conversation. Honest verdict, including no.
Tap to start. Takes about five minutes.
Describe a piece of work you would want AI doing. We will talk through whether it is deployable yet, and what is missing if it is not. What gets said appears here.
