Support volume grows faster than the team can
Most inbound questions are the same handful, asked repeatedly. Answering them consumes the capacity needed for the genuinely difficult cases, and out of hours nobody is answering at all. Hiring scales cost linearly with volume, which is the wrong shape for a problem that is mostly repetition.
- The same questions answered dozens of times a day
- Nothing answered outside office hours
- Different answers depending on who replies
- Complex cases waiting behind simple ones
- Support headcount rising in step with customers
What it does
Multi-channel deployment
One assistant across your website, WhatsApp, Messenger and live chat, with a consistent answer on every channel.
Trained on your material
Grounded in your documentation, product data, policies and past tickets, so answers are yours rather than generic.
Human handover with context
Escalates on request, on complexity or on frustration signals, passing the full conversation so the customer never repeats themselves.
Voice as well as chat
Natural voice conversation for phone lines, for customers who would rather talk than type.
Lead capture and qualification
Recognises a sales conversation and captures the details rather than treating every visitor as a support case.
Multilingual by default
Responds in the customer's language without a separate build per language.
Ticket creation
Opens a ticket in your help desk when it cannot resolve something, with the conversation attached.
Conversation analytics
What people ask, what gets resolved, where handovers happen and which gaps in your documentation keep surfacing.
What changes after deployment
~80%
Of routine queries resolvedUp to 60%
Lower support cost24/7
Coverage without night shifts2-3 wks
To deployBuilt for
- E-commerce businesses with high enquiry volume
- Service providers fielding repetitive questions
- Companies serving customers across timezones
- Multilingual markets
- Organisations with strict data handling requirements
Connects to
- WhatsApp Business and Messenger
- Help desk and ticketing platforms
- CRM systems
- E-commerce platforms
- Internal knowledge bases and document stores
- Telephony systems
- Week 1
Mine your real questions
We analyse past tickets and chats to find what actually gets asked, in what proportion. That decides scope far better than guesswork.
- Week 2
Train and set boundaries
The assistant is grounded in your material, and we define explicitly what it must not attempt — refunds, medical or legal advice, anything contractual.
- Week 3
Integrate and test
Channel and help desk connections, then adversarial testing where we try to make it answer badly, before customers do.
- Ongoing
Review and extend
Weekly review of handovers and failures in the first month, extending coverage as the gaps become clear.
Frequently asked
It is grounded in your approved material and constrained to it. Where it has no basis for an answer it says so and escalates rather than improvising. We test this deliberately before launch.
We recommend yes. Customers work out quickly, and discovering they were misled costs more trust than the disclosure ever does. It is your decision, but that is our advice.
Data residency, retention periods and what may be stored are configured to your obligations. Where GDPR or healthcare requirements apply, they shape the architecture rather than being addressed afterwards.
Whichever fits your requirements for capability, cost and data handling — and it can be changed later. The system is built so the model is a component rather than a permanent commitment.
Grow revenue
AI Sales Agent
Qualify every lead the moment it arrives, not the next morning.
Revenue Automation
Close the gaps between a lead arriving and cash landing.
AI Search & Lead Generation
Search that understands what people meant, not what they typed.
AI Consultancy
Find out where AI pays before you spend on it.
Tell us what you are trying to fix
A short call is usually enough to establish whether this is the right answer for your operation, and what it would take. No obligation and no pitch deck.
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