Web Chatbot
A chatbot on the website, with the retrieval and the handoff the use case needs.
AI Agents
AI Chatbot DevelopmentBots That Resolve, Not Just Reply.
AI chatbots that resolve the user's question, not just reply — the retrieval against the knowledge base, the action against the system, the hand-off to a human when the case is complex, with the eval suite and the integration the use case needs.
10+Years Experience
100+Projects Delivered
50+Expert Developers
20+Industries Served
Web Chatbot
WhatsApp AI Chatbot
In-App Chatbot
Knowledge Base & RAG
System Action
Handoff to Human
Overview
A chatbot is a UI, not a product
A chatbot is a UI on top of an agent or a model. The work is not the widget on the website — the work is the retrieval, the action, the handoff, the eval suite, the integration with the helpdesk or the CRM. The UI is the surface, the system underneath is the product.
We build AI chatbots with the retrieval, the action, the handoff, the eval suite and the integration as part of the architecture from sprint one. The output is a chatbot that resolves the question, not a widget that says "let me transfer you to a human" on the second message.
This is the wrong engagement if the use case is a widget on a website with no knowledge base behind it. A static FAQ or a human-first handoff is the right answer for that.
- Resolves, Not Replies — A chatbot that resolves the question, not a widget that bounces the user.
- Knowledge-Native — A native integration with the knowledge base, the docs and the runbooks.
- Action Capable — Action against the system, not just an answer against the docs.
- Handoff Clean — A clear handoff path to a human, with the context the human needs.
What we deliver
Everything included in our ai chatbot development
WhatsApp AI Chatbot
A WhatsApp chatbot on the WhatsApp Business API, with the same retrieval and action.
In-App Chatbot
A chatbot inside the product, with the action against the user account.
Knowledge Base & RAG
The retrieval against the knowledge base, the docs, the past tickets, the runbooks.
System Action
The action against the system — look up an order, book a meeting, reset a password.
Handoff to Human
A clear handoff path to a human, with the context the human needs.
Our process
A proven process for successful delivery
01
Discover
We audit the knowledge base, the system, the surface and the handoff path.
02
Plan & Design
We design the agent, the retrieval, the action and the eval suite.
03
Develop
We build in two-week sprints with the support team testing as we go.
04
Deploy
We ship to production with the integration, the eval and the audit log live.
05
Optimize & Grow
We read the resolution rate, the eval and the user feedback.
Technology
Built with a stack that stays maintainable
Agent Layer
- LangGraph
- CrewAI
- Custom agents
Models
- OpenAI
- Anthropic
- Google Gemini
Channels
- Web widget
- WhatsApp Business API
- Intercom
- Crisp
Knowledge & RAG
- Pinecone
- Weaviate
- pgvector
What you can expect
- Questions Auto-Resolved
- 40-70%Questions Auto-Resolved
- Average Resolution Time
- <30sAverage Resolution Time
- Coverage Without Headcount
- 24/7Coverage Without Headcount
- Conversations Audit-Logged
- 100%Conversations Audit-Logged
Industries we serve
Delivered for teams in your sector
It depends on the audience. For a general audience, the website and WhatsApp are the right surfaces. For an in-app audience, the product itself. For a support-led audience, the helpdesk widget. The surface is part of the discovery, not assumed.
A rule-based chatbot follows a decision tree. An AI chatbot retrieves, reasons and acts. The rule-based chatbot is good for simple, structured flows. The AI chatbot is good for the open-ended questions the rule-based one cannot handle. The cost of the AI chatbot is higher, but the resolution rate is much higher too.
A clear handoff path, with the criteria, the context the human needs, and the conversation record that follows the case. The chatbot hands off when the case is genuinely complex, the human picks up with the context, and the resolution time drops.
Yes, when the system has an API. The chatbot can look up an order, book a meeting, reset a password, file a ticket — the actions the use case needs. The actions are tool calls against the system, with the eval that proves the action was right.
Related services
More in AI Agents
AI Agent DevelopmentMulti-Agent SystemsAI Sales AgentsAI Support AgentsVoice AI AgentsWhatsApp AI Chatbot
Business software
ERP, CRM, HRMS & custom software we build
Ready to start your ai chatbot development project?Let’s scope it together.
Tell us the outcome you need. We’ll come back with an approach, a timeline and a written estimate.