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AI Multi-Avatar Platform

Applab partnered with the Qatar Olympic Committee (QOC) to develop an AI multi-avatar platform designed to enhance digital interaction and streamline access to information across web and kiosk channels.

This AI-powered solution introduces an interactive experience where users can receive real-time, accurate responses about QOC services and sports events through digital human avatars.

Built on Microsoft Azure, the AI multi-avatar platform provides a scalable and secure interaction layer that reduces reliance on manual support while significantly improving user engagement.

The Challenge

QOC faced challenges in delivering consistent, real-time information to visitors across multiple touchpoints.

Key challenges included:

  1. Fragmented and non-interactive information sources
  2. Heavy reliance on manual support (staff and call centers)
  3. Delayed response times and inconsistent communication
  4. Limited user engagement across kiosks and website platforms
  5. Difficulty scaling support during peak events

These limitations made it difficult to deliver a modern, responsive digital experience and increased operational overhead.

The Solution

Applab developed an AI multi-avatar platform that combines conversational AI, digital human interaction, and cloud infrastructure into a unified solution.

Key capabilities include:

AI-Powered Avatar Assistant
Human-like avatars deliver natural, real-time conversational responses.

Multi-Channel Deployment
The AI multi-avatar platform is deployed across kiosk devices and web platforms, ensuring a seamless user experience.

Conversational AI Engine
Context-aware responses powered by advanced AI models and integrated data sources.

Cloud-Native Architecture
Built on Microsoft Azure to ensure scalability, high availability, and secure data handling.

Backend Integration
API-driven integration ensures accurate and up-to-date information delivery.

Implementation

The platform was developed through a structured, iterative approach:

Requirement Analysis
Defining user journeys, interaction scenarios, and system requirements.

Development & Integration
Building the AI assistant and integrating with backend systems and data sources.

Testing & Optimization
Enhancing avatar realism, response accuracy, and system performance.

Deployment
Rolling out the solution across web and kiosk environments.

Close collaboration between Applab, QOC, and Microsoft ensured a high-performance, scalable, and user-centric solution.

Results & Impact

The AI multi-avatar platform significantly improved user interaction and operational efficiency.

Key results include:

Up to 90% faster response times

60–70% reduction in manual workload

40–60% reduction in operational costs

50%+ increase in user engagement

24/7 AI-powered support with high availability

Technology Stack

Microsoft Azure – Cloud infrastructure and hosting

Azure AI Services – Speech, avatar, and AI capabilities

OpenAI models – Conversational intelligence

Web & Kiosk Integration – Multi-channel deployment

API architecture – Data integration and management

Business Impact

The AI multi-avatar platform transformed how QOC delivers information by replacing manual support with an intelligent, AI-driven interaction model.

Key benefits include:

  • Reduced operational costs and support dependency
  • Improved response speed and consistency
  • Enhanced visitor engagement and experience
  • Scalable solution for high-demand events

Future Scalability

The AI multi-avatar platform is designed to evolve with future digital initiatives.

Planned enhancements include:

  • Expansion to mobile applications
  • Integration with voice and call center systems
  • Advanced personalization and AI capabilities
  • Replication across government and event-driven platforms

Related Case Study:

Explore how we built a unified platform to streamline service workflows for QOC.
Khadoom Platform

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