AI Chatbot Development
Custom chatbots trained on your own content for your website and WhatsApp, answering common questions, capturing leads and passing complex conversations to a person.
Grounded in your content, with guardrails and a clear human handover.
At a glance
Quick Answers
Answer FAQs from your content, capture and qualify leads, book calls, check order status through integrations and hand over to your team.
We reduce this by grounding answers in your content, restricting scope and testing with hard questions, but no AI is perfect, so we also design a human handover.
Yes, through the WhatsApp Business Platform, as well as on your website.
We choose models by accuracy, cost, speed and data requirements, and design the system so the model can be swapped later.
The Reality Check
Scripted menus that don't understand the question, generic AI that answers confidently and wrongly, and bots with no way to reach a person: each of these teaches customers to avoid your chat.
A well-built bot answers from your real information, knows its limits and passes the conversation on. It works best alongside a solid lead generation funnel and a clear custom back-end work back end for tasks like booking and CRM updates.
Our engineering team builds the integrations behind the bot. Chatbots work especially well with Meta Ads and lead generation, and structured content also helps AI search visibility.
A chatbot should reduce effort for customers and staff, not add a new obstacle.
What You Get
From knowledge base to live conversations and reporting.
Decide what the bot should do.
We define goals, tone, scope and the conversations that matter most.
Answer from your content.
Your documents, FAQs and product data indexed so answers are accurate and sourced.
Meet customers where they are.
Chat widget on your site and WhatsApp Business integration.
Turn chats into pipeline.
Qualifying questions and automatic CRM entries and alerts.
Escalate smoothly.
Rules for when to hand over, with full conversation context passed to your team.
Get better every month.
Conversation review, gap analysis and updates to content and flows.
Built by us
An AI mechanic that takes a description of car symptoms and returns likely causes, diagnostic steps and cost estimates.
How It Works
A pilot first, then expansion.
Week 1
Agree use cases, content sources, tone and success measures.
Week 2-4
Set up the knowledge base, conversation logic and integrations.
Week 4-6
Test with real questions and run a limited pilot.
Ongoing
Go live, review conversations and expand coverage.
Tools & Platforms
Worth Knowing
Rule-based chatbots follow scripted menus and keywords. They are predictable and cheap but break when people phrase things unexpectedly. LLM-based chatbots use a large language model to understand free-form questions and reply in natural language, which handles variety far better.
The trade-off is control. An LLM needs guardrails so it stays on topic and doesn't invent answers, which is where most of the engineering effort goes.
A useful business chatbot answers from your information, not from the open internet. The common approach is retrieval: the bot finds relevant passages in your documents, FAQs and product data, then composes an answer from them, ideally with a link to the source.
That keeps answers current, lets you update the bot by editing documents instead of retraining a model, and makes it easier to check why the bot said what it said.
A good bot knows its limits. We define what it may answer, what it should decline and when it should hand over to a human, for example for complaints, payments or anything it isn't confident about. The handover should pass along the conversation so the customer doesn't repeat themselves.
We test with real questions, including awkward ones, before launch and review conversations afterwards to find gaps.
Common channels are your website and WhatsApp, and sometimes Instagram, Messenger or inside an app. WhatsApp is especially effective in India because customers already use it.
Measure what matters: questions resolved without a person, leads captured, handover rate and customer satisfaction, rather than raw message counts.
A build fee depends on scope and integrations, plus ongoing hosting and AI usage costs. We quote after a short discovery call.
A focused pilot often takes three to six weeks. More integrations and channels take longer.
We limit what is sent to AI providers, use secure hosting and can configure data handling to meet your requirements. Tell us your constraints at the start.
Modern models handle many Indian languages. We test quality in the languages you need before promising it.
It can handle repetitive questions and free your team for harder ones. It's best designed to assist people, not to eliminate the option of speaking to one.
We also build wider AI automation. Tell us the problem and we'll advise honestly on whether AI is the right tool.
Book a free 30-minute call. Tell us what you're trying to achieve and we'll give you an honest view of the options, including the ones that don't involve us.
