Conversational AI

Conversational AI Development

Build AI that talks to your customers — by text and by voice. AINinza develops conversational AI systems including LLM-powered chatbots and AI voice agents that understand intent, take actions, and escalate gracefully.

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Our Conversational AI Solutions

Two Pillars of Conversational AI

AINinza builds both text-based and voice-based conversational AI. Choose one or combine both for a unified, multi-channel experience.

AI Chatbots
LLM-powered text chatbots for web, WhatsApp, Slack, and Teams. Handle support, sales, and operations with natural conversation and CRM integration.
  • Multi-channel: web, WhatsApp, Slack, Teams, SMS
  • RAG-powered knowledge base integration
  • CRM and ticketing system actions
  • 4–6 week deployment
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AI Voice Agents
AI-powered phone agents with speech recognition, LLM reasoning, and natural text-to-speech. Handle calls end-to-end with sub-2-second response times.
  • Inbound support and outbound sales
  • Twilio, Genesys, and SIP integration
  • Warm handoff with full transcript
  • 4–10 week deployment
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What Every Conversational AI System Includes

Core capabilities shared across chatbot and voice agent deployments.

LLM-Powered Chatbots
Text-based AI agents for web, WhatsApp, Slack, and Teams. Handle support queries, qualify leads, and execute transactions through natural conversation.
Voice AI Agents
AI-powered phone agents that understand natural speech, take real actions, and handle calls end-to-end — from inbound support to outbound sales campaigns.
Multi-Channel Deployment
One AI brain, every channel. Deploy a single conversational AI system across web chat, WhatsApp, phone, SMS, Slack, and Teams with channel-specific formatting.
Context-Aware Conversations
Maintain conversation context across turns, sessions, and channels. The AI remembers what was discussed, tracks customer history, and personalises every interaction.
Human Handoff
Seamless warm transfer to human agents when the AI detects low confidence, frustration, or out-of-scope requests — with full transcript and detected intent.
Analytics & Insights
Track resolution rate, escalation rate, CSAT, intent distribution, and cost per conversation. Real-time dashboards and weekly reports during optimisation.
How It Works

From Discovery to Deployed Conversations

AINinza follows a five-stage process that takes conversational AI projects from use case analysis to production deployment with continuous optimisation.

1

Use Case Discovery

Analyse your customer interactions to identify the highest-impact conversational AI opportunities

2

Conversation Design

Design dialogue flows, persona, escalation triggers, and integration requirements

3

Build & Integrate

Develop the AI agent, connect to CRM and business systems, and build escalation logic

4

Test & Iterate

Run through hundreds of test scenarios, tune responses, and validate with real users

5

Deploy & Optimise

Launch with staged rollout, monitor performance metrics, and continuously improve

Business Outcomes

What Teams Gain

Result

60–80% of customer queries resolved without human intervention across chat and voice channels

Result

50% reduction in average handle time through instant intent detection and automated actions

Result

24/7 availability on every channel with zero hold times, even during peak volumes

Technology Behind Conversational AI

AINinza builds conversational AI on a model-agnostic, modular architecture that supports both text and voice channels with shared business logic.

LLM & NLU Layer

  • GPT-4, Claude, Llama — model-agnostic reasoning layer with automatic fallback chains
  • RAG pipelines — ground responses in your knowledge base and documentation
  • Intent detection — classify user intent with fine-tuned NLU models for routing and actions

Voice-Specific Stack

  • Whisper & Deepgram — real-time speech-to-text with accent-aware recognition
  • ElevenLabs & Azure Neural TTS — natural-sounding text-to-speech voices
  • Twilio & SIP — telephony integration for real phone networks

Integration & Analytics

  • Salesforce, HubSpot, Zendesk — CRM and ticketing integrations for automated actions
  • WebSocket & REST APIs — real-time messaging and batch processing interfaces
  • Custom dashboards — track resolution rate, CSAT, and intent distribution in real time

60–80%

Query Resolution Rate

8+

Channels Supported

24/7

Always Available

Frequently Asked Questions

Related Services

AI Chatbot Development

Custom LLM-powered chatbots for support, sales, and operations — deployed on web, WhatsApp, and Slack.

Learn more
AI Voice Agent

AI-powered phone agents with speech recognition, LLM reasoning, and natural text-to-speech.

Learn more
AI Knowledge Base

AI-powered knowledge bases with RAG search across all your internal documents and systems.

Learn more

Let AI Handle the Conversation

Share your customer interaction data and channel requirements, and we'll propose a conversational AI deployment with resolution targets and ROI milestones.

Book A Discovery Call