AI Development / AI chatbots
AI chatbots grounded in your live data.
An AI chatbot development company for support and booking assistants that answer from current data, around the clock, and hand off to a person when needed.
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AI chatbot services. Assistants that answer from the right data, not from guesses.
Customer support assistants
Answer common questions instantly, at any hour.
Booking & transaction help
Guide customers through bookings and changes in the conversation.
Live data grounding
Answers drawn from current inventory and records, not stale copies.
Knowledge base answers
Answers grounded in your documentation and policies.
Human hand-off
Pass the conversation to a person with its full context.
Guardrails
Clear limits on what the assistant will and will not answer.
System integration
Connected to booking, CRM and support tools through their APIs.
Conversation review
Logged conversations for quality review and improvement.
Ongoing tuning
Regular updates as your products and policies change.
Conversational AI we have shipped. Each result comes from a delivered engagement.
Customer support assistant
A support assistant grounded in live inventory data, available around the clock.
~35% fewer repeat contacts AI · HealthcareMulti-agent voice AI
Live voice agents for scheduling, verification and follow-up calls, escalating to a person when needed.
~50% fewer manual handling cases AI · LegalResearch & review assistant
Citation-grounded answers, each one traced back to its source document.
~50% faster review timeNeed support that answers from live data?
From idea to production. Four stages, with a working version reviewed at each one.
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Discovery
Map the support journeys, the systems and data involved, and what good looks like.
Discovery notes
- Top questions and requests
- Data the answers depend on
- When a person should step in
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Scope & architecture
Agree the architecture, success measures and delivery milestones.
Solution design
- Conversation design
- Data connections
- Hand-off rules
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Build
Build against real data, with a working version reviewed at each milestone.
Working build
- Assistant tested on real questions
- Answers checked against live data
- Review at each milestone
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Ship & support
Roll out to production with monitoring and a defined support window.
Production rollout
- Launch on your channels
- Conversation monitoring
- Defined support window
Why Avinya for AI chatbots. Assistants that know when to hand over to a person.
Hand-off to a person
When the bot should not answer, the conversation moves to your staff with the context.
People stay in control
Approval checkpoints, escalation paths and exception review are designed in from day one.
Traceable by default
Citations, audit trails and logs, so outputs can be verified rather than trusted blindly.
Production, not demos
Built to run against real systems and real data, with monitoring once live.
Full-stack delivery
Data pipelines, models, product and integrations from one team.
AI and Web3 under one team
One studio for AI systems and, where it helps, on-chain infrastructure.
Results from our conversational AI work. Each number links to the engagement it came from.
Engagement models. Pick the shape that fits where you are.
Dedicated team
A dedicated team that works as an extension of yours, from first release to scale.
Project-based
A defined scope, milestones and delivery date for a specific product or workflow.
Consulting & advisory
Architecture and readiness advice before you commit to a build.
What our clients say.
“Avinya Labs built our full-stack AI solution, delivering scalable infrastructure, optimized AI workflows, and a seamless user experience. Their expertise accelerated our launch and significantly reduced execution risk.”
“Avinya Labs built our AI travel chatbot … A highly capable team that delivers ahead of the curve.”
Guides on this topic. Plain answers to the questions buyers ask first.
How to Build a RAG System for Your Company Knowledge Base
Architecture, components and stack choices, and when RAG is the wrong tool.
Read the guide → GuideAI Customer Churn Research: Why Follow-Ups Beat Surveys (2026)
How a conversational agent finds out why customers left, with the quotes behind every theme.
Read the guide → GuideEnterprise AI Deployment: Why Projects Stall in Pilot
The eight causes we see most, and a roadmap that gets AI live.
Read the guide →AI chatbot FAQs.
How is this different from a scripted chatbot?
It understands free-text questions and answers from your live data and documents, instead of following fixed decision trees.
How do you stop it giving wrong answers?
Answers are grounded in your data, the assistant has clear guardrails, and anything outside scope goes to a person.
Can it hand off to our team?
Yes, with the conversation context attached, so customers do not repeat themselves.
Which AI models do you use?
We evaluate models against your real workflow and choose per task. The architecture is designed so models can change later without rebuilding the product.
How long does a project take?
It depends on scope and integrations. We agree milestones up front and review a working version at each one.
What makes a good AI chatbot development company?
It tests answers against your real content, shows where each answer came from and hands off to a person when unsure. As an AI chatbot development company we build conversational AI development to those rules, referencing the NIST AI Risk Management Framework.
Free tool
How ready is your business for AI?
Twenty questions, about four minutes. You get a score across five areas and what to fix first.