Resolve routine questions
Opening hours, order status, coverage, account basics, how-to steps — answered from your approved content, in the caller’s own language, at any hour.
AI support agents
Answer the calls your team keeps answering twice
Most support queues are the same handful of questions asked over and over. An AI support agent takes those, resolves what it can from your own knowledge base, files a real ticket when it cannot, and hands the rest to your team with the details already gathered.
Typically 2–4 weeks from first call to a working agent.
File real tickets
When something needs a human, the agent gathers the details, creates the ticket in your helpdesk, and reads the number back so the caller leaves with a reference.
Escalate with context
Your agents pick up a conversation that already has the customer’s problem, location and history attached, instead of starting from "how can I help?"
Built on what actually happens on a call
Plenty of voice demos sound impressive and achieve nothing — they take a message and hang up. The difference is whether the agent can act during the conversation and whether it tells the truth about what it did.
- Creates a real ticket mid-call and reads the number back to the caller
- Answers from your live knowledge base — edit an article, the next call uses it
- Never claims an action it has not completed, even when the system fails
- Hands over to a person as soon as the conversation needs one
- Handles callers who switch language mid-sentence
- Every call transcribed, so you can see exactly where it fails
A straight answer
Expect around 41%, not 80%
Independent enterprise benchmarks put median call containment near 41%, with the strongest quartile around 59%. Vendors routinely advertise 70 to 80%, and the gap is well documented.
We would rather quote the number you are likely to hit and then beat it. Scoping a first agent to your most repetitive calls is where the return actually comes from — not from trying to automate everything at once.
Support teams we build for
Telecom & ISPs
Outage reports, billing questions, coverage checks, support triage
Healthcare & clinics
Appointment queries, opening hours, department routing
Retail & ecommerce
Order status, returns policy, delivery questions
Financial services
Balance and claim status, document requirements, renewals
Logistics & delivery
Tracking, delivery windows, failed-delivery follow-up
Education
Admissions questions, fee queries, enrolment status
Utilities
Outages, meter readings, payment questions
Professional services
Reception, intake, routing to the right specialist
Working in a different sector? Tell us what you need.
AI support agent FAQs
What is an AI support agent?
An AI support agent answers inbound customer calls, works out what the caller needs, and resolves the routine cases from your approved knowledge base. When a call needs a person it collects the relevant details first and passes them on, so the customer does not repeat themselves.
How many support calls can an AI agent actually resolve on its own?
Independent enterprise benchmarks put median containment around 41%, with the strongest quartile near 59%. Vendors often advertise 70 to 80%. A realistic first deployment lands closer to the median and improves as your knowledge base grows and you see which calls it fails.
Can the agent create a support ticket during the call?
Yes. The agent calls your helpdesk while still talking to the customer, creates the ticket, and reads the ticket number back before the call ends. It will not tell a caller their issue was logged until the helpdesk has confirmed it and returned a number.
What stops the agent inventing an answer it does not know?
It answers only from the knowledge base you give it and is instructed to say it does not know rather than guess. It is also blocked from claiming it has done something until the underlying system confirms the action, which is the failure mode that damages trust fastest.
Does it replace our support team?
No. It absorbs the repetitive calls, the same handful of questions that make up most of a queue, so your team spends its time on the conversations that need judgement. Every agent we build has a clear path to a human, and escalation rules are yours to set.
How does the agent know our policies and product details?
It reads your existing knowledge base or FAQ. In production we fetch that content per call rather than baking it in, so when you correct an article the very next caller hears the corrected answer with no redeploy and no waiting.
Which calls does your team answer most?
That is usually the right place to start. Tell us the three questions your agents repeat all day and we will tell you honestly whether an AI agent can take them, what it would cost, and how long it would take to build.