Support that answers right away, even on Sundays
Many support tickets repeat the same questions. The support agent resolves those on its own, using your rules and your sources, and for everything else prepares a documented draft your team only has to approve.
The problem it removes
- 01
First-response time is measured in hours or days, so clients chase — which creates even more tickets.
- 02
Your team spends its days on “where is my order?” instead of the cases that deserve a human brain.
- 03
Evenings, weekends, holidays: nobody answers, and dissatisfaction quietly piles up.
How it works
- 1
The agent learns your business
It is fed your real sources: FAQ, documentation, ticket history, business rules. It only answers what it can source — no improvising.
- 2
Autonomous resolution, fenced
Recurring requests — tracking, invoices, procedures — are resolved end to end. Anything outside the fence goes to the human queue with a sourced draft reply already written.
- 3
Supervision and continuous improvement
Every conversation is reviewed by our engineers in the first weeks. The autonomous-resolution rate rises as the agent earns reliability — never the other way round.
What the agent does
Sourced
every autonomous answer relies on your FAQ, documents and rules; otherwise the request goes to the human queue
24/7
first response, nights, weekends and holidays included
Draft
already written and sourced for every request passed to your team
What the agent does by design, not measured averages: your results are measured during the diagnostic and the pilot, on your own data.
Frequently asked questions
What if the agent does not know the answer?+
It says so and hands over: the ticket goes to the human queue with a sourced draft and the full conversation context. A reliable agent is one that knows its limits — that is a design rule, not an option.
Which channels can the agent answer on?+
Email, website chat, WhatsApp, or your existing ticketing tool (Zendesk, Freshdesk, shared inbox…). It works where your clients already write.
How do you prevent made-up answers?+
The agent only answers from your validated sources and cites where each answer comes from. In grey areas it transfers to a human instead of improvising. In the first weeks every conversation is supervised before its scope widens.
Is this the problem eating your team’s time?
Tell us how you work today — 30-minute call, then a free written diagnostic of what this agent would change for you, with numbers.
Get my free diagnosticFree resource
The self-assessment grid: 20 tasks AI can automate
Sales, admin, support, operations: the 20 tasks AI agents already handle in SMEs — with, for each one, the tell-tale sign that your team is concerned.
This solution, industry by industry
AI support desk — E-commerce
A store shipping 300 orders a day with two people on customer service, and ticket volume tripling between Black Friday and Christmas. The evening queue waits until morning; the weekend queue waits until Monday.
- At 9 AM the overnight queue is already handled: WISMO requests got the carrier’s current status, return requests got their label, and seven genuine cases sit in the human queue.
- A parcel marked delivered but never received: the agent checks the delivery scan, applies your policy — immediate gesture or investigation — and writes to the customer in their language, English or Spanish included.
- Through the December peak, capacity does not move: the 900 tickets of a holiday week get the same first response in minutes as the 300 of a quiet one.
The support team stops being crushed by volume: it handles the disputes that need judgement, while the repetitive resolves itself — nights included.
Order of magnitude
- · around 900 tickets per month outside peak season
- · 60% concern three recurring reasons: order tracking, returns, refunds
- · 6 minutes average handling time per ticket
Roughly 540 tickets absorbed per month, in the order of 54 hours of support work handed back to the team — more still over the holidays.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
AI support desk — Training providers
A provider training 2,500 learners a year, whose phone lines saturate at every session start: lost invitations, platform access, certificates requested months later.
- The week before a session starts, the wave of “I never received my invitation” is absorbed live: the agent checks the file, resends the document, fixes the wrong email address.
- A former learner needs their November certificate for a skills-validation file: retrieved from the management tool and sent within five minutes, six months after the session.
- A question about the remaining CPF balance drifts into financial advice: the agent stops there and hands over to the adviser, file and conversation history attached.
Session starts no longer paralyse the admin team, and learners get their documents when they need them — not when the assistant returns from leave.
Order of magnitude
- · around 400 requests per month in enrolment periods
- · 70% concern invitations, access and certificates
- · 5 minutes average handling per request
Some 280 requests absorbed per enrolment month — about twenty hours handed back to the team exactly when it is shortest of them.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
AI support desk — Manufacturing & industrial SMEs
A maker of catalogue and made-to-order mechanical components runs sales admin with two people — who spend half their days saying “your order is at deburring” and hunting for certificates.
- At 7:04 AM a German buyer asks for the status of three order lines: the agent answers before the office opens, with availability dates read straight from the production schedule.
- Asked for a material certificate, it checks the revision index of the drawing attached to the order before sending — the right document, at the right revision, first time.
- One line is running late: rather than improvise a date, it opens a case for sales admin with the offending supplier confirmation already identified.
Sales admin processes orders instead of answering the phone, and export clients get their answer within their own morning — not yours.
Order of magnitude
- · around 25 client requests reach sales admin per day
- · 6 minutes of average handling per request
- · 70% are purely factual: status, document, standard lead time
Close to 9 hours a week absorbed by the agent (25 × 6 min × 70% × 5 days) — about one full sales-admin day handed back to actual order management every week.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
AI support desk — Wholesale & B2B distribution
An electrical-supplies distributor runs three branches and a six-person order desk that fields 200 requests a day — stock, lead times, net prices, duplicates.
- By 7:40 the twelve overnight requests are closed: availability confirmed, duplicates sent, three ambiguous cases queued with a draft reply.
- A site foreman wants “whatever you have in stock” to replace an out-of-stock reference: the agent offers the catalogue-approved substitutions, with the account’s net price difference.
- Friday 5:50 PM, a question about a backorder: the answer goes out with the restocking date confirmed by the supplier’s acknowledgement — nobody stayed late for it.
The order desk stops being a switchboard. The six clerks handle exceptions, disputes and emergencies; the repetitive flow resolves itself, outside opening hours included.
Order of magnitude
- · 200 requests a day, 70% of which concern availability, lead times, prices or documents
- · an average of 4 minutes of handling per request
Absorbing those 140 daily requests represents more than 9 hours of desk work a day — a full position redeployed to accounts and disputes.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.