MicrosoftScaled productionEvidence: Low40/100

Infosys revolutionizes enterprise transformation with AI-powered assistants

Use case typeIT operationsUpdated Jun 13, 2026

Infosys adopted an AI-first strategy, focusing on embedding AI technologies throughout its business model rather than simply enhancing processes. Over 250,000 employees completed an AI awareness course, catalyzing a culture shift. Leveraging partnerships with players such as Microsoft and OpenAI, Infosys developed both small language models (SLMs) for industry-specific needs (e.g. banking) and persona-specific AI assistants for roles like customer service agents and wealth managers. These platforms and AI applications are delivered rapidly, reducing typical development time from months to mere weeks. Infosys now rolls out AI assistants and applications to 20,000+ enterprise users, supporting IT operations, software engineering, customer service, fraud detection, and compliance. The company is fostering change management in clients by offering training and revisiting IT contracts for accelerated AI adoption. Three waves of AI implementation are identified, from current AL assistants to future semi-autonomous business processes.

Organization
Infosys
Location
India
Published
March 2025

Reported outcomes

Strategic outcomes

New product / capabilityDeveloped industry- and role-specific AI assistantsScale & capacityRolled out AI assistants to enterprise usersSpeed & agilityAccelerated AI deployment cyclesInnovation & cultureBuilt an AI-first workforce culture
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Infosys
Provider
Microsoft
Maturity
Scaled Production
Linked source
diginomica.com

Drive enterprise-wide AI adoption at scale across all workforce groups

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 5

  • 1Enterprise AI Assistant Development and Deployment
  • 2AI-Powered IT Operations Automation
  • 3AI-Driven Customer Service Enhancement
  • Drive enterprise-wide AI adoption at scale across all workforce groups.
  • Accelerate development and deployment of AI solutions tailored to specific business needs.
  • Enhance customer and internal productivity with AI assistants.
  • Support rapid, reliable, and secure integration of AI into existing client workflows.
  • Manage organizational change and risk with large-scale AI transformation.
  • Trained over 250,000 employees through an internal AI awareness course.
  • Developed industry and persona-specific small language models integrated into business platforms.
  • Rolled out persona-based AI assistants to over 20,000 users across enterprise clients.
  • Created hybrid AI infrastructure in partnership with Microsoft (using Microsoft Azure, Microsoft 365 Copilot, Power Platform).
  • Fostered change management with training for employees and customers, and assessed IT contracts to manage risk and readiness.
  • AI assistant rollout to 20,000+ end users for IT operations and customer service.
  • 250,000 employees upskilled in AI awareness and application.
  • AI platform deployment cycle reduced from months/years to weeks.
  • Applied AI for risk and compliance, fraud detection, and customer service enhancements.
Architecture

Infosys employs a hybrid AI platform approach, combining small language models for industry-specific tasks (e.g. banking with Finacle), persona-based AI assistants for customer-facing and internal roles, and connects these to cloud infrastructure provided by Microsoft Azure and the broader Microsoft ecosystem. AI models are fine-tuned and integrated into enterprise services, with rapid solution deployment facilitated by hybrid infrastructure and strategic partners like Microsoft and OpenAI.

Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Technical implementation details available
Published: Mar 6, 2025Publisher: diginomica.com

AI-generated summary. Verify important details with the linked sources before relying on this case.

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