01
Use Case & Data Audit
We analyze your support tickets, FAQs, and common queries. We identify what the bot should handle and where humans still need to step in.
09
AI Chatbot Development
AI chatbots that actually resolve issues, not just deflect them
Most chatbots frustrate users. Ours don't. We build AI-powered chatbots and conversational agents that understand context, handle complex queries, and actually solve problems — for customer support, lead qualification, internal helpdesks, and more.
We use the latest LLMs (GPT-4, Claude) combined with your business data to create chatbots that know your products, policies, and processes inside out. They integrate with your website, WhatsApp, Slack, and support tools — and escalate to humans when they should.
OpenAI APIClaude APILangChainPineconeVercel AI SDKWebSocketsWhatsApp APISlack API
200+ projects delivered5+ years experienceFree consultation
Our Process
How we approach ai chatbot development
02
Knowledge Base Setup
We ingest your docs, help articles, product data, and policies into a vector database. This becomes the bot's brain.
03
Bot Development
We build the conversational flow, prompt engineering, and integration layer. The bot gets smarter with every iteration.
04
Channel Integration
Deploy to your website, WhatsApp, Slack, or any platform. Same bot, consistent experience everywhere.
05
Monitor & Improve
We track resolution rates, user satisfaction, and edge cases. Continuous improvement based on real conversations.
Deliverables
What you get
Custom AI chatbot
Knowledge base integration
Multi-channel deployment
Admin dashboard for monitoring
Conversation analytics
Human escalation workflows
Training & documentation
Ongoing optimization
Ready to discuss your project?
Free consultation. We'll scope it out and give you a clear plan.
See what we've built
200+ projects delivered across SaaS, CRM, mobile, and custom platforms.
FAQ
Common questions
Those are generic tools with basic AI bolted on. We build chatbots trained specifically on your data, with custom logic for your workflows. The difference in resolution quality is night and day.
Yes. Modern LLMs handle 50+ languages natively. We can configure language detection and response in the user's preferred language.
It escalates gracefully — transfers to a human agent with full conversation context. No dead ends, no frustrated customers.
A production-ready chatbot typically takes 4-6 weeks. We start with a working prototype in week 1 so you can see it in action early.
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