Deflecting instead of answering.
The classic failure: you ask a question, it offers three menu options that don’t match, then asks “did that help?” Built to reduce support tickets rather than answer. Users learn within two exchanges to stop trying.
A trained assistant on your site that answers real questions, qualifies enquiries and books appointments at 3am — and knows when to stop and hand over to a person.
Do you cover Essex?
Yes, we do. Want a call this week?
Thursday afternoon.
Someone lands on your site at nine in the evening with a straightforward question — do you cover my area, roughly what does this cost, how soon could you start. Nobody’s there, so they fill in a form and wait, or more often they don’t bother and go to the next result.
Meanwhile your team spends a real part of every week answering the same twenty questions.
Both problems have one solution, and both get left alone because the available option was a chatbot that made things worse.
A good chatbot answers the question.
Most are built to avoid answering it.
Most of these are build decisions, not limitations of the technology.
The classic failure: you ask a question, it offers three menu options that don’t match, then asks “did that help?” Built to reduce support tickets rather than answer. Users learn within two exchanges to stop trying.
Language models will confidently state a price or availability that doesn’t exist. The fix is constraining the knowledge base so it answers from your actual content and says “let me get someone to confirm” when it doesn’t know.
No visible route to a human is the fastest way to turn a warm enquiry into a bad review.
It doesn’t work, and being caught costs more trust than being upfront.
A chatbot handles the routine. Phone and WhatsApp need to stay visible.
Complaints, price negotiations, anything emotionally loaded. A well-built bot recognises them and escalates immediately.
We’d rather build something that answers eighty per cent of questions genuinely well and hands over cleanly on the rest.
We look at what exists, what’s working and what isn’t, then agree a written scope and fixed price before anything starts.
The decisions that matter get made first — architecture, targeting or process mapping depending on the work.
Delivery, with everything documented as we go rather than at the end.
Checked properly before it goes live, not after someone reports a problem.
Reporting on what the work produced, with a call rather than just a document.
Your services aren’t documented anywhere, or you get five enquiries a month.
This phase amplifies whatever it’s built on.
A clean process gets faster; a messy one gets messier at speed. It depends most on phase three, because automation needs structured, consistent data. If your systems are already in good shape, you can start here.
Swipe to compare
| Feature | Essential | GrowthMost Popular | Advanced | Custom |
|---|---|---|---|---|
| Setup | PKR 55K | PKR 125K | PKR 250K | FromPKR 450K |
| Knowledge base | Up to 30 answers | Up to 100 | Unlimited | Unlimited |
Monitoring and tuning PKR 15K–40K/month. AI usage billed at cost.
Monitoring PKR 15K–40K/month.
Get a free automation audit. We’ll look at the questions your team answers every week and tell you what a chatbot could handle, and what should stay with a person.