AI Chatbots & Automated Support
LLM-powered chatbots and support automation that resolve attendee and customer queries instantly across web, WhatsApp, and in-app channels.
Every event and every product generates the same flood of repetitive questions: where do I register, what time is the keynote, how do I get a refund. ZebIQ builds AI assistants on modern large language models, grounded in your own content through retrieval-augmented generation (RAG), so answers are accurate, on-brand, and current — not hallucinated.
Our chatbots deploy where your audience already is: your website, your event app, WhatsApp Business, and internal tools like Slack or Teams. They handle FAQs, guide registration, look up schedules and orders in real time via API, and escalate seamlessly to human agents with full conversation context when a query needs judgement.
We treat conversational AI as an engineering discipline. Every deployment includes guardrails, prompt-injection protection, conversation analytics, and a feedback loop that retrains the knowledge base from unresolved queries — so the assistant gets measurably better every week it runs.
What's included
RAG-Grounded Answers
Responses are generated from your verified content — event guides, policies, product docs — dramatically reducing hallucination risk.
Omnichannel Deployment
One assistant, deployed across web widgets, mobile apps, WhatsApp Business API, and internal messaging platforms.
Live System Lookups
The bot queries your registration, ticketing, or order systems via API to answer personal questions like booking status in real time.
Human Handoff with Context
Complex queries route to your support team with the full transcript and detected intent, so customers never repeat themselves.
Multilingual Conversations
Serve attendees in English, Hindi, and other major languages from a single knowledge base.
Analytics & Continuous Tuning
Dashboards for resolution rate, top intents, and failure points, with scheduled knowledge-base refreshes.
How it works
A clear, numbered path from kickoff to live operation — so you always know what happens next.
Knowledge Audit
We collect and structure your FAQs, policies, schedules, and documentation into a clean, versioned knowledge base.
Assistant Design
We define persona, tone, guardrails, escalation rules, and the system integrations the bot needs to answer real queries.
Build & Ground Testing
We implement the RAG pipeline and run adversarial test suites — edge cases, off-topic prompts, injection attempts — before any user sees it.
Pilot & Rollout
A controlled pilot with live traffic validates resolution rates, followed by full deployment across your channels.
Monitor & Improve
Weekly analytics reviews and knowledge updates keep accuracy high as your content and events change.
Where it shines
Event Attendee Helpdesks
A 24/7 assistant answering registration, agenda, venue, and travel questions in the weeks before and during a large conference.
E-commerce & Booking Support
Order tracking, returns guidance, and product questions automated for online stores and booking platforms.
Internal Employee Assistants
HR and IT helpdesk bots that answer policy questions and raise tickets inside Slack or Microsoft Teams.
Related services
Frequently asked
We engineer specifically against this. Answers are grounded in your approved content via RAG, the assistant is instructed to decline rather than guess, and every deployment goes through adversarial testing before launch. Out-of-scope queries route to a human.
We are model-agnostic and select based on your accuracy, latency, cost, and data-residency requirements — including options where your data is never used for model training. The architecture lets us swap models as the landscape evolves.
Yes. We build API connectors so the assistant can read live data (bookings, ticket status, schedules) and write back (create tickets, update records) with proper authentication and audit logging.
Ready to put AI Chatbots & Automated Support to work?
Share your dates and goals — we'll respond within one business day with approach, team, and budget.