20 QUESTIONS
AI chatbots, answered.
What it takes to put a chatbot on your site, WhatsApp, or Instagram that answers from your own content instead of guessing. What it does when it does not know, and who sees the conversations.
All 20 questions
A bad bot deflects every question to a contact page. A good one is trained on your actual content, gives the actual answer, and knows when to stop and hand off to a human instead of guessing.
That is the main risk with a badly built bot. The fix is grounding it in your real content and adding guardrails so that when it does not know something, it says so and offers a human instead of guessing. That behavior is part of the build, not an extra.
Yes, through the WhatsApp Business API. For most businesses in Pakistan, WhatsApp is where customers actually message, so it is often the first channel worth deploying rather than the website.
No, unless you want to. When your content changes, the knowledge base needs updating, and that can either sit with me or be handed over with instructions so your team can do it themselves.
It is loaded with your actual documents, FAQs, policies, and pricing, so it answers from your material rather than a generic template or an invented answer.
Yes, that is a core feature. Name, contact details, and intent are captured mid-conversation and pushed to your CRM or inbox, so a conversation turns into a real lead, not a dead end.
It hands off to a human with the full conversation attached, so the customer never has to repeat themselves from the start.
Yes, chatbots can be deployed across your website, WhatsApp, and Instagram DMs, wherever your customers already are, rather than forcing them to a single channel.
Guardrails limit what the bot will engage with, so it does not wander into topics, like legal or medical specifics, that it has no business answering on your behalf.
Yes, language handling including code-switching between Urdu and English is part of what makes a bot actually usable for customers in Pakistan, rather than one built only for a single-language market.
Retrieval-augmented generation, meaning the bot looks up relevant information from your actual documents before answering, instead of relying purely on what the underlying AI model already knows. It is the main technique behind a bot that answers accurately instead of guessing.
The knowledge setup, where your documents and FAQs are loaded in, happens during the build, not gradually over time. It answers correctly from day one rather than needing weeks of live conversations to improve.
If it is connected to the relevant system, such as an order management tool or CRM, yes. That kind of integration is scoped and quoted based on what systems you already use.
It handles the repeat, predictable questions so your team spends less time answering the same twenty questions every week and more time on the ones that actually need a person.
Yes, conversation logs are typically part of the setup so you can see what customers are asking and how the bot is responding.
The knowledge base gets updated to match. That update can be handled by me or handed over to your team, depending on what you prefer going forward.
It depends on volume, not size. If the same handful of questions come in repeatedly, even a small business benefits. If questions are rare and varied, a chatbot is less useful and I will say so.
Yes, it can ask qualifying questions and only escalate the leads that actually match your criteria, saving your sales team from chasing conversations that were never going anywhere.
No. A chatbot is typically embedded into your existing website with a small script, without needing a rebuild of the site itself.
Rate limiting and guardrails on what the bot will engage with are part of a properly built deployment, reducing the surface for abuse compared to an unrestricted, ungoverned bot.
