AI chatbot development services that build bots your customers can actually trust. We develop custom AI chatbots grounded in your documentation, products, and policies — so they answer from your knowledge, not from the model’s imagination. Website, WhatsApp, or internal tools: one brain, your data, and real integrations with your CRM and helpdesk.
What separates a chatbot that works from one that embarrasses you
Grounding. A working chatbot retrieves answers from your documents before it speaks — every response traceable to something you wrote. Then honesty about uncertainty: “I don’t know, let me get a human” beats a confident lie every time. Add escalation paths that hand over full context, a tone matched to your brand, and analytics showing what people actually ask. The chatbots that fail are the ones shipped as demos and never supervised.
Chatbots we build
- Customer support chatbots — resolve the repetitive majority: order status, returns, troubleshooting, account questions. Escalate the rest with context intact.
- Lead generation chatbots — qualify visitors, answer pre-sales questions, and book meetings while your sales team sleeps.
- Internal knowledge chatbots — your handbook, SOPs, and docs as a chat interface for staff. New hires stop pinging seniors for everything.
- WhatsApp chatbots — the same brain on the WhatsApp Business API. See our WhatsApp AI chatbot for business.
- E-commerce assistants — product finders, sizing help, and cart recovery inside the conversation.
Our process
- 1. Knowledge audit. We gather your docs, FAQs, and the fifty questions your team answers on repeat. A chatbot is only as good as its grounding material.
- 2. Design and guardrails. Persona, tone, topics it handles, topics it refuses, and the exact escalation path. Hallucination controls are designed in from day one, not patched later.
- 3. Build and integrate. A retrieval pipeline over your content, connections to your CRM, helpdesk, and order systems, and testing against adversarial questions — not just happy paths.
- 4. Launch and learn. Real conversation review, weekly tuning at first, then monthly. Chatbots improve with supervision; we provide it.
Why MTD for AI chatbots
Chatbots are integration projects wearing a conversational interface — and integration is our home turf. Through our AI integration services we already connect language models to live business systems, so your chatbot reads the CRM, files the ticket, and checks inventory instead of just chatting about it. One team builds the brain and the plumbing.
Frequently asked questions
How do you prevent the chatbot from making things up?
Retrieval grounding: every answer is built from your documents, with strict instructions to say “I don’t know” when the docs don’t cover it. We test with adversarial questions before launch and review real conversations after — the combination catches what either method misses alone.
Which AI models do you use?
Current leading language models — OpenAI, Claude, and open models where data control or cost demands it. Model choice follows your needs: answer accuracy, language support, and operating cost per conversation.
Can one chatbot work on our website and WhatsApp?
Yes. We build one knowledge base and conversation brain, then deploy it to both channels with channel-specific tuning — message length, templates, and handoff rules differ between web chat and WhatsApp.
How much does AI chatbot development cost?
A focused single-channel bot typically runs $3,000–$8,000. Multi-channel bots with CRM and helpdesk integrations run $8,000–$20,000. Ongoing model API costs are usage-based, and we estimate them upfront so there are no surprises.
Does it work in our language?
Leading models handle dozens of languages well, including Urdu, Arabic, and other regional languages. We test in your actual customer language before launch — not just English and hope.
If your team answers the same questions every day, a chatbot should be answering them. Tell us the top ten — we’ll show you what the bot would do with them.
Exactly what you get in an AI chatbot build
A chatbot that resolves conversations — not one that just chats. Every build includes:
- Knowledge base ingestion: your website, docs, FAQs, and policies converted into a retrieval system the bot answers from.
- RAG pipeline: retrieval-augmented generation tuned so answers stay grounded in your content — with citations where useful.
- Conversation design: greeting flows, fallback paths, and escalation triggers designed around your actual customer questions.
- Guardrails: topic boundaries, confidence thresholds, and human handoff — the bot admits gaps instead of inventing answers.
- Integrations: your CRM, booking system, and order platform — so conversations convert, not just inform.
- Analytics: containment rate, escalation reasons, and unanswered-question reports — the feedback loop that makes the bot smarter monthly.
- Testing: adversarial test conversations (typos, slang, edge cases) before launch.
- Documentation & training: how to update the knowledge base and read the analytics.
AI chatbot development pricing
Fixed quotes after a free discovery call. As a guide: a website chatbot (knowledge base + lead capture + handoff) typically runs $2,000–$5,000. Advanced builds with deep integrations, multi-channel deployment, and custom analytics run $5,000–$15,000. Ongoing AI usage costs are shown separately and kept lean.
Chatbot types we build
- Website chatbots: the conversational front door — answers, qualifies, books, hands off.
- WhatsApp chatbots: meeting customers where they already message.
- Support copilots: internal tools that draft replies for your human agents.
- Lead qualification bots: embedded in landing pages and funnels.
Containment rate: the metric that matters
We measure every chatbot by containment rate — the share of conversations resolved without human help — and by escalation quality when humans are needed. Vanity metrics (messages handled, “AI conversations”) don’t appear in our reports. A chatbot containing 60% of conversations with clean handoffs beats one “handling” 95% badly. We set a containment target in the project spec and report against it monthly.
Why MTD for AI chatbots
- We measure outcomes: containment rate, escalation quality, and lead conversion — not demo applause.
- RAG done right: grounded answers from your content, with the retrieval tuning most chatbot vendors skip.
- Integration depth: chatbots wired into your CRM and systems via our integration team — conversations become pipeline.
- 9+ years, 300+ projects: we’ve watched chatbot hype cycles come and go; we build what survives contact with real customers.
More questions, answered
How much does AI chatbot development cost?
A website chatbot typically costs $2,000–$5,000 fixed. Advanced builds with deep integrations run $5,000–$15,000. Fixed quotes after a free discovery call.
How long does it take to build a chatbot?
Most chatbots go live in 3–6 weeks: knowledge base ingestion and conversation design, then testing against adversarial conversations, then launch.
How do you train the chatbot on our business?
We ingest your website, docs, FAQs, and policies into a retrieval system, then tune it so answers stay grounded. You approve the knowledge base, and updating it later is as simple as editing a document.
What is a good containment rate?
60–80% is excellent for most businesses — the rest escalate cleanly to humans with full context. Anyone promising 95%+ is either measuring loosely or hasn’t met your customers yet.
Can the chatbot hand off to humans?
Yes — and handoff design is half the project. Low-confidence answers, explicit requests, and sensitive topics route to your team with the full conversation history attached.
Does it work with our existing website?
Yes. The chatbot embeds via a lightweight widget on any site — WordPress, Shopify, custom — with styling matched to your brand. No rebuild required.
Want a chatbot measured by results, not demos? Book a free consultation — we’ll scope your bot and its containment target before you spend anything.