Stop paying people to do
what software can do automatically.
Intelligent chatbots that handle conversations, qualify leads, and resolve support — around the clock.
Intelligence that initiates.
iSkylar builds AI-powered chatbots for websites, mobile apps, and enterprise platforms, using NLP, LLMs, and custom training on your data to create bots that understand context, escalate intelligently, and get measurably better over time. Whether you need a customer support bot, a sales qualification assistant, or an internal knowledge agent, we deliver conversational AI that works in production, not just demos.
This is for you if...
Customer Support Chatbots
AI-powered support agents that resolve common queries instantly, reduce ticket volume, and escalate complex issues to human agents with full conversation context intact — available 24/7 across web, mobile, and messaging channels.
Lead Qualification & Sales Bots
Conversational bots that engage website visitors, ask qualifying questions, score leads, and book meetings directly into your CRM or calendar — turning passive traffic into pipeline.
Internal Knowledge Assistants
Enterprise chatbots trained on your documentation, SOPs, and internal wikis — giving your team instant answers to operational questions without burdening senior staff.
Multilingual Chatbots
NLP-driven bots that detect language automatically and respond in the user's preferred language — built for businesses with global audiences or multilingual support teams.
Voice-Enabled Bots
Conversational AI that works via voice interfaces — IVR replacement, voice search, and spoken interaction for kiosks, call centres, and accessibility-first products.
Chatbot Integration & CRM Connectivity
We connect your chatbot to Salesforce, HubSpot, Zendesk, Intercom, WhatsApp Business, Slack, and custom APIs — so conversations flow into your existing tools without manual handoff.
The Implementation Roadmap
Discovery & Bot Design
We map your use cases, define conversation flows, identify escalation triggers, and agree on the channels and integrations before any development begins.
TIMELINE
1–2 weeks
NLP & Training Data Preparation
We prepare intent libraries, entity definitions, and training utterances — or connect your existing documentation to a RAG pipeline for knowledge-grounded responses.
TIMELINE
1–2 weeks
Development & Integration
Bot logic built, CRM and channel integrations connected, fallback handling designed, and a staging environment available for you to test real conversations throughout.
TIMELINE
3–8 weeks
QA & Conversation Testing
We run dialogue testing across hundreds of scenarios — edge cases, ambiguous inputs, multi-turn conversations, and language variations — until accuracy meets agreed benchmarks.
TIMELINE
1–2 weeks
Launch & Monitoring Setup
Production deployment across your channels, conversation analytics dashboard live, escalation routing confirmed, and your team trained on the management console.
TIMELINE
3–5 days
Optimisation & Ongoing Support
We monitor conversation metrics, retrain on failed interactions, expand intent coverage, and iterate on flows as your users' needs evolve.
TIMELINE
Ongoing
Reduction in support ticket volume within 60 days of deploying an AI support bot for an e-commerce client
For a leading Mumbai-based fintech firm, we deployed a multi-agent system to handle transaction disputes. The agents navigate banking portals, verify logs, and communicate with users autonomously.
45%
TICKET DEFLECTION
$180K
OPEX SAVED PER QUARTER
Frequently Asked Questions
What is the difference between a rule-based chatbot and an AI chatbot?
What platforms can the chatbot be deployed on?
How do you train the chatbot on our specific business knowledge?
How long does chatbot development take?
What does AI chatbot development cost?
Will the chatbot improve over time?
Who owns the chatbot and its training data?
Do you integrate with our existing CRM or helpdesk?
Ready to automate the
reasoning layer?
Join the 1% of enterprises using agentic workflows to outpace competition.