RAG-Powered Knowledge Chatbots
Trained on your docs, help centre, product pages, and internal wiki. Answers questions with citations and falls back gracefully when it does not know.
Service
AI Chatbots that Actually Answer Customers.
Custom chatbots grounded in your own knowledge base, integrated with your CRM and helpdesk, and tuned to your tone of voice. For websites, WhatsApp, Telegram, Instagram, and voice.
What is it?
AI Chatbot Development, defined
AI Chatbot Development is the practice of building conversational interfaces powered by large language models, grounded in a business's own data through retrieval-augmented generation, and integrated with the systems that handle real customer outcomes. Magnis AI builds custom chatbots for support, sales, lead qualification, and internal knowledge access on web, mobile, WhatsApp, Telegram, Instagram, and voice channels.
Who needs this?
You probably need this if any of these sound familiar
- E-commerce stores answering the same product questions hundreds of times a day
- SaaS companies whose docs are good but customers still email support
- Service businesses missing leads after hours because nobody is available
- Healthcare clinics, salons, and clinics that need appointment booking via chat
- Internal teams that need a chatbot over their company knowledge base
Overview
AI Chatbot Development, the practice in summary
Generic chatbots fail because they do not know your business and cannot do anything useful. Magnis AI builds chatbots that ground their answers in your own content, integrate with your tools to take real action, and escalate cleanly to a human when judgement is needed.
Capabilities
What we deliver
Each capability is a defined deliverable with clear inputs, outputs, and review gates.
Lead Qualification and Booking Bots
Conversational lead capture that asks the right questions, routes to the right person, and books meetings on calendars without human handoff.
Customer Support Chatbots
Tier-1 deflection, ticket drafting, intelligent escalation, and full integration with Intercom, Zendesk, Freshdesk, HubSpot, and Help Scout.
WhatsApp, Telegram, Instagram Bots
Business messaging bots that meet customers where they already are. Built on official APIs with broadcast, two-way, and group support.
Voice Agents
Inbound and outbound voice agents for booking, support, and qualification. Powered by GPT-4 voice, ElevenLabs, and Twilio.
Internal Knowledge Bots
Chatbot over your company's docs, HR policies, technical wiki, or sales playbook. Saves your team from hunting through Notion, Confluence, and shared drives.
Framework
The Magnis Grounded Chatbot Method
Three principles applied to every chatbot we build: Ground in real data (no hallucination), Act on real systems (not just answer questions), and Escalate on uncertainty (no lying when it does not know). Bots are evaluated against a golden test set before launch and continuously monitored after.
Methodology
How a typical engagement runs
Clear phases with explicit artefacts and review gates. Independent review at every phase boundary.
- 01
Scope
Define the use case, channels, knowledge sources, integrations, and success metrics. Output: a sized build with clear acceptance criteria.
- 02
Build
RAG pipeline, conversational design, integrations, and guardrails. Built on OpenAI, Anthropic, or open-weight models depending on data sensitivity.
- 03
Evaluate
Run the bot against a golden test set, fix gaps, and pilot with a small user group. We do not launch a bot that fails its own tests.
- 04
Operate
Production deployment, monitoring, and continuous improvement based on conversation logs. Optional managed-service operation.
Outcomes
What you get
Concrete, measurable outputs you can verify against the original brief.
- Tier-1 support volume cut by 40 to 70 percent
- After-hours leads captured instead of lost
- Faster customer response time (seconds, not hours)
- Sales calls booked directly through the chatbot
- Internal teams stop hunting through docs to answer the same questions
Timeline
4 to 12 weeks depending on scope
Typical delivery window. Actual timeline depends on scope, agreed during the scoping call.
Industries we deliver this for
- E-commerce
- SaaS
- Healthcare Clinics
- Real Estate
- Education
- Professional Services
Common questions about AI Chatbot Development
What is the difference between a generic chatbot and a RAG chatbot?
A generic chatbot answers from whatever the underlying LLM was trained on, so it hallucinates about your business. A RAG (retrieval-augmented generation) chatbot retrieves your real content first and answers grounded in it. For business use, RAG is the only acceptable approach. Magnis AI builds RAG by default.
Which models do you build on?
We pick the model based on use case. OpenAI GPT-4 for general conversation, Anthropic Claude for longer context and nuanced tasks, Google Gemini for multimodal, and open-weight models (Llama, Mistral, Qwen) for sensitive data that cannot leave your environment. We are not locked to a single provider.
Can the chatbot take actions like booking meetings or updating a CRM?
Yes. Action-taking is what separates useful chatbots from FAQ widgets. We build integrations with calendars (Calendly, Cal, Google), CRMs (HubSpot, Salesforce), helpdesks (Intercom, Zendesk), and any tool with an API. The bot does not just answer; it does.
How do you prevent the bot from hallucinating or saying something wrong?
Three layers: grounding (RAG over your real content), structured prompts with explicit refusal rules, and a golden evaluation set the bot must pass before launch. We also log every conversation and review samples weekly during the early operation period.
Do you support WhatsApp Business API?
Yes. We build on the official WhatsApp Business Cloud API, with Magnis as the technical provider or working alongside your existing BSP. The same applies to Telegram, Instagram Direct, and SMS via Twilio.
How long does a chatbot project take and how much does it cost?
A focused chatbot (one channel, one use case, your knowledge base, two integrations) ships in 4 to 6 weeks. More complex bots (multi-channel, voice, deep integrations) take 8 to 12 weeks. Cost depends on scope; we quote after a 30-minute scoping call.
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Learn moreScope Your AI Chatbot
30-minute scoping call. We will outline the bot, the integrations, and a fixed-fee build quote. No commitment.