ZebIQ Technology

AI Chatbots & Automated Support

LLM-powered chatbots and support automation that resolve attendee and customer queries instantly across web, WhatsApp, and in-app channels.

Frosted-glass chat bubbles with a neural-network sparkline

Every event and 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. Deploy across web, WhatsApp, apps, and internal tools. Support that scales.

Why AI-Powered Support Matters

Your support team spends 60–80% of their time answering the same questions. AI chatbots eliminate that bottleneck:

  • Instant answers across all channels—customers never wait for business hours
  • Cost per ticket drops dramatically when routine queries are automated
  • 24/7 availability scales support without hiring proportionally
  • Better CX when customers get verified, on-brand information immediately

But generic chatbots hallucinate. Ours don't, because every answer comes from your approved content.

Clean white background with frosted glass panel displaying interconnected nodes and documents, soft mint and cyan gradient accents, minimal tech aesthetic

RAG-Grounded, Not Guessing

Retrieval-Augmented Generation (RAG) grounds every response in your verified content—event guides, policies, product docs, schedules—dramatically reducing hallucination risk. The assistant retrieves relevant chunks, synthesizes answers, and declines gracefully when it's out of scope. No made-up flight times, refund policies, or session details.

We treat conversational AI as an engineering discipline, not magic. Guardrails, prompt-injection protection, conversation analytics, and a feedback loop that retrains the knowledge base from unresolved queries mean your assistant gets measurably better every week it runs.

Core Capabilities

Omnichannel Deployment

One assistant, deployed across your website, event app, WhatsApp Business API, Slack, Teams, and internal tools. Customers reach you where they already are.

Live System Lookups

The bot queries your registration, ticketing, or order systems via secure API to answer personal questions—booking status, schedule conflicts, order history—in real time.

Human Handoff with Context

Complex queries route to your support team with full transcript and detected intent. Customers never repeat themselves; your agents work faster.

Multilingual Conversations

Serve attendees in English, Hindi, and major regional languages from a single knowledge base. Personas and tone adapt per language.

Analytics & Continuous Tuning

Dashboards for resolution rate, top intents, failure points, and user satisfaction. Scheduled knowledge-base refreshes keep accuracy high as your content changes.

Security & Guardrails

Prompt-injection protection, conversation audit logs, PII redaction, and role-based access control for integrations. Your data is never used for model training unless you opt in.

From Brief to Deployment

  1. Knowledge Audit

    We collect and structure your FAQs, policies, schedules, documentation, and product specs into a clean, versioned knowledge base. No messy spreadsheets—structured, searchable, and ready for RAG.

  2. Assistant Design

    We define persona, tone, guardrails, escalation rules, and system integrations the bot needs to answer real queries—ticketing lookups, refund workflows, schedule searches, etc.

  3. Build & Adversarial Testing

    We implement the RAG pipeline and run edge cases, off-topic prompts, injection attempts, and boundary tests. You approve the assistant before any customer sees it.

  4. Pilot & Rollout

    A controlled pilot with live traffic validates resolution rates and user experience. Then full deployment across your channels—web, app, WhatsApp, Slack—with rollback safety.

  5. Monitor & Improve

    Weekly analytics reviews, knowledge updates, and feedback loops keep accuracy high as your content, events, and audience evolve. We tune, you focus on growth.

Dashboard showing analytics graphs, conversation flows, and resolution metrics with mint and cyan accents
Real-time analytics dashboards track resolution rates, top intents, and failure points. Every week, your assistant gets better.

Who Uses This

Event Helpdesks A 24/7 assistant answering registration, agenda, venue, and travel questions for large conferences, festivals, and webinars. Reduces support ops load by 60–70%.

E-commerce & Booking Order tracking, returns guidance, product questions, and booking status automated for online stores, travel platforms, and ticketing systems.

Internal Employee Support HR and IT helpdesk bots answering policy questions, raising tickets, and guiding employees inside Slack or Microsoft Teams. Faster onboarding, fewer repeated questions.

Conversational AI is not a novelty—it's the new standard for customer and employee experience. The barrier is not the technology anymore; it's getting the architecture right: grounded, safe, connected to your systems, and continuously learning. That's the difference between a demo and a product.

— Industry best practice

Common Questions

Will the chatbot make things up (hallucinate)?

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. You control the knowledge base; the bot can't invent answers.

Which AI models do you use?

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, so you're not locked in.

Can it integrate with our CRM, ticketing, or ERP system?

Yes. We build secure API connectors so the assistant can read live data (bookings, ticket status, schedules, inventory) and write back (create tickets, update records) with proper authentication, audit logging, and role-based access control.

How long does a deployment take?

Typically 4–8 weeks from kick-off to go-live, depending on knowledge-base complexity and system integrations. A simple FAQ chatbot can be live in 2–3 weeks; a multi-channel assistant with live CRM lookups and escalation workflows takes longer—but the payoff is immediate.

What if our content changes frequently?

The knowledge base is versioned and easy to update. We can set up automated refreshes from your source docs (event schedule feeds, product catalogs, help article repos) or manual uploads. Your assistant stays current without engineer involvement.

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