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T2 Mobile Transforms Enterprise Application Experience with AI-Powered Agentic Platform Built on Microsoft Azure

Enabling natural language and voice-driven enterprise operations through an AI agentic platform that modernizes application interaction and business execution
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Legacy Navigation Manual Workflows Low Productivity

Complex multi-step application navigation limiting enterprise productivity and user adoption

T2 Mobile's enterprise applications relied on traditional multi-step navigation and manual workflows. Users struggled with complex interfaces, reducing productivity and creating friction across operations, customer engagement, and service management workflows.

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Azure AI Foundry Agentic Platform Voice & NLP

AI-powered agentic platform built on Azure AI Foundry enabling natural language enterprise operations

Reliance Infosystems built an intelligent Application Modernization Platform on Azure AI Foundry. AI agents interpret user intent from text and voice commands and execute enterprise workflows across integrated backend systems through secure orchestration.

Faster Operations AI-Driven UX Scalable Agents

Enterprise operations transformed through conversational AI with reusable agentic architecture

Users now execute business operations through natural language and voice. Routine workflows are automated via AI agents, productivity improved across enterprise apps, and a reusable agentic framework positions T2 Mobile as an AI-first enterprise.

CASE STUDY

Customer

T2 Mobile

Industry

Telecommunications & Media

Category 

Innovate with Azure AI Apps and Agents | Copilot & Agents at Work | Agents | Frontier Transformation 

Microsoft Azure-Powered AI Transformation 

T2 Mobile is a digital technology and telecommunications-focused organization delivering mobile-enabled services and enterprise applications that support internal operations, customer engagement, and service management workflows. 

As part of its digital transformation strategy, T2 Mobile partnered with Reliance Infosystems to modernize how users interact with enterprise applications by introducing an AI-powered Application Modernization and Intelligence Platform built on Microsoft Azure. 

The solution replaces traditional application navigation with intelligent conversational experiences, enabling users to execute business functions using natural language and voice commands. The platform integrates AI agents, secure orchestration layers, and enterprise systems into a unified intelligent application experience. 

Microsoft Azure Capabilities Driving AI-Powered Transformation

Enterprise Outcomes Enabled by 

Microsoft Security Stack

AI-Driven Application Interaction 
Users now interact with enterprise applications through natural language and voice, eliminating complex multi-step navigation processes.
Improved Operational Efficiency
Routine business tasks are executed faster through AI-driven workflows, reducing manual effort across enterprise applications.
Enhanced User Experience and Accessibility
Text and voice-enabled interfaces improve usability, accessibility, and overall digital experience for users. 
Intelligent Business Process Automation
AI agents dynamically interpret user intent and execute backend workflows across multiple enterprise systems.
Secure and Governed AI Environment
All AI interactions are governed through enterprise identity controls, access policies, and monitoring frameworks.
Reusable Agentic Architecture
A scalable AI agent framework has been established for future expansion across additional business use cases.

Business Impact

Reliance Infosystems followed a structured, phased security remediation approach: 

Social Impact

The transformation improved how employees at T2 Mobile interact with enterprise systems, making everyday work faster, simpler, and more intuitive through secure conversational AI experiences. 
Beyond improving productivity and employee experience, the initiative demonstrates how responsibly governed AI can strengthen trust, operational efficiency, and digital maturity across Nigeria’s telecommunications sector. 

Approach and Delivery Methodology 

Reliance Infosystems adopted a phased AI modernization methodology 

focused on secure delivery, scalability, and rapid value realization.  

01.

Discovery and
Planning

Stakeholder workshops identified key business processes, AI use cases, and success criteria for intelligent application interaction. 
02.

Infrastructure and
DevOps Enablement

GitHub Copilot Enterprise and CI/CD pipelines were configured to accelerate development and deployment readiness.
03.

AI Agent Framework
Development

Azure AI Foundry was configured to build intelligent agents mapped to enterprise business capabilities.
04.

Middleware and
Integration Layer

Secure middleware services were built on Azure App Service to enable controlled orchestration between AI agents and enterprise systems.
05.

Conversational Experience
Enablement 

Text and voice-based interfaces were developed to enable natural language interaction with enterprise applications.
06.

Testing and Production
Deployment

Comprehensive testing validated performance, security, and functional readiness before production rollout.

Microsoft Technologies Used

A comprehensive stack of Azure services and Microsoft security capabilities delivered this transformation.
  • Microsoft Azure AI Foundry
  • Azure AI Agent Framework
  • Azure Functions
  • Azure App Service
  • Microsoft Entra ID
  • Azure Database for PostgreSQL
  • Azure Cache for Redis
  • GitHub Copilot Enterprise
  • Azure Monitor
  • Azure Application Insights
  • Azure DevOps CI/CD Integration

How Microsoft Technologies
Enabled the Outcome 

Microsoft Azure AI Foundry enabled intelligent agents that interpret user intent and execute business actions across enterprise systems. 
Azure Functions provided scalable serverless execution for backend workflows triggered by AI interactions. 
Microsoft Entra ID ensured secure authentication and authorization across all AI-driven processes. 
Azure App Service delivered a secure and scalable middleware layer for system orchestration.  PostgreSQL and Redis enabled persistent memory and real-time conversational context for AI-driven interactions. 

GitHub Copilot Enterprise accelerated development productivity and reduced delivery timelines.
Azure Monitor and Application Insights provided full observability across AI workflows, ensuring governance, traceability, and performance visibility. 

Together, these technologies enabled a secure, scalable, and intelligent agent-based enterprise platform. 

Partner Value and Expertise

Reliance Infosystems combined deep expertise in Azure AI, agentic architectures, and enterprise application modernization to deliver a next-generation conversational platform. 

Key strengths included:

Azure AI Foundry and agent-based architecture design
Enterprise application modernization and API integration
Secure AI orchestration and governance frameworks
DevOps automation using GitHub Copilot Enterprise 
Conversational AI experience design (voice and text)
Middleware engineering and system integration
AI observability and enterprise monitoring
The engagement was delivered under the Azure Accelerate: AI, Agents & Dev Assess + POV framework. 

Winner Summary

T2 Mobile transformed enterprise application interaction using an AI-powered agentic platform built on Microsoft Azure and delivered by Reliance Infosystems. The solution enables users to execute business operations through natural language and voice commands, replacing traditional application navigation with intelligent conversational workflows, while establishing a secure and scalable foundation for future AI-driven enterprise transformation. 

Reliance Infosystems × T2 Mobile