Case Studies

Real-world examples of how our AI solutions have transformed businesses, reduced costs, and delivered measurable results for our customers.

E-Commerce & SaaS

AI-Powered Customer Support Platform

Transforming customer service with intelligent, multi-channel AI agents

The Challenge

A fast-growing e-commerce company was drowning in customer support tickets. Their team of 15 agents struggled to keep up with 2,000+ daily enquiries across email, chat, and social media. Average response times had ballooned to 8 hours, customer satisfaction scores were declining, and hiring more agents was not financially viable.

  • 2,000+ daily support tickets across multiple channels
  • Average response time of 8+ hours
  • Customer satisfaction scores dropping below 70%
  • Support team burnout and high turnover
  • Inability to provide 24/7 support coverage

Our Solution

We built a multi-tenant AI customer support platform powered by GPT-4 and an advanced agentic framework. The system intelligently handles enquiries across all channels — email, live chat, and social media — with human-like understanding and responses.

  • Intelligent ticket routing and auto-resolution using GPT-4
  • Multi-channel integration (email, chat, social media, WhatsApp)
  • Agentic AI framework with tool marketplace for custom actions
  • CRM integration for personalised responses with full customer context
  • Seamless human handoff for complex issues with full conversation history
  • Real-time analytics dashboard for support performance monitoring

The Results

73%
Tickets Auto-Resolved

AI handles routine enquiries without human intervention

< 30s
Avg Response Time

Down from 8 hours to under 30 seconds

94%
Customer Satisfaction

Up from 68% before implementation

60%
Cost Reduction

Significant savings on support operations

The AI platform completely transformed how we handle customer support. What used to take hours now happens in seconds, and our customers are happier than ever.

Head of Customer Experience

Healthcare & Retail

AI Voice Agent for Call Centres

Human-like AI voice assistant that handles calls with natural conversation

The Challenge

A healthcare services provider was facing severe call centre challenges. With over 500 daily inbound calls for appointment scheduling, prescription refills, and general enquiries, wait times averaged 12 minutes. They were losing patients to competitors and spending heavily on staffing during peak hours.

  • 500+ daily inbound calls with limited staff
  • Average wait time of 12 minutes during peak hours
  • High agent turnover due to repetitive call handling
  • No after-hours support leading to missed appointments
  • Patients switching to competitors due to poor phone experience

Our Solution

We deployed an AI voice agent that handles calls with natural, human-like conversation. The system uses advanced speech-to-text, intelligent language processing, and natural text-to-speech to create a seamless phone experience indistinguishable from a human agent.

  • Real-time speech-to-text transcription with Whisper AI
  • Natural text-to-speech responses via ElevenLabs
  • Intelligent conversation flow powered by LLM
  • Seamless integration with existing phone systems via Twilio
  • Live call transfer to human agents for complex cases
  • 24/7 availability with consistent quality

The Results

65%
Calls Handled by AI

Routine calls fully automated without human intervention

< 5s
Wait Time

Virtually eliminated wait times for callers

3x
Call Capacity

Triple the call handling without additional staff

45%
Cost Savings

Reduced staffing costs while improving service

Our patients can not believe they are talking to an AI. The voice agent handles appointment bookings and prescription queries just like our best receptionist — but it never takes a break.

Operations Director

Healthcare

AI Medical Record Assistant

HIPAA-compliant AI that helps patients understand their medical documents

The Challenge

A diagnostic laboratory was receiving hundreds of patient calls daily asking for help interpreting their test results. Medical reports filled with technical jargon, reference ranges, and complex terminology left patients confused and anxious. The lab staff spent 40% of their time explaining reports instead of processing new tests.

  • Hundreds of daily calls from patients confused by medical reports
  • Lab staff spending 40% of time on report explanations
  • Patients making unnecessary emergency visits due to misunderstanding results
  • No scalable way to provide personalised report interpretation
  • Strict HIPAA compliance requirements limiting technology options

Our Solution

We built a HIPAA-compliant AI assistant that analyses medical documents and explains them in plain, easy-to-understand language. Patients upload their medical PDFs, and the AI extracts key information, highlights important values, and answers questions conversationally.

  • Advanced OCR with Tesseract and AWS Textract for document processing
  • GPT-4 powered analysis and plain-language explanation
  • Interactive Q&A — patients can ask follow-up questions naturally
  • Visual highlighting of critical values with reference range tooltips
  • End-to-end HIPAA compliance with encrypted data handling
  • Multi-format support — lab reports, prescriptions, discharge summaries

The Results

80%
Fewer Explanation Calls

Dramatic reduction in patient calls about reports

< 2min
Report Understanding

Patients understand their reports in under 2 minutes

92%
Patient Satisfaction

Patients report feeling more informed about their health

100%
HIPAA Compliant

Full compliance maintained with zero security incidents

This tool has been a game-changer for our patients. They finally understand their test results without having to call us or search the internet for unreliable information.

Laboratory Director

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