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Tech Mahindra and ServiceNow Scale Generative AI Pilots

Tech Mahindra and ServiceNow Scale Generative AI Pilots

September 21, 2026
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Tech Mahindra and ServiceNow Scale Generative AI Pilots

Tech Mahindra and ServiceNow deepen their multi-year alliance to empower global enterprises with production-ready AI. Credit: Tech Mahindra

According to Mohit Joshi of Tech Mahindra, this partnership enables organizations to transition from generative AI experiments to large-scale production.

A critical step in scaling generative AI is integrating intelligence directly into core business systems, daily workflows, and operating models.

To facilitate this transition, Tech Mahindra and ServiceNow have expanded their multi-year partnership, helping global organizations transform isolated experiments into trusted, enterprise-wide execution.

Mohit Joshi, CEO at Tech Mahindra, states: “Enterprises are entering a new phase of AI adoption where the priority is no longer experimentation but trusted execution at scale.”

Mohit Joshi, CEO at Tech Mahindra. Credit: Tech Mahindra

To unlock meaningful business value, AI must be embedded into the systems, workflows, controls and operating models where enterprise work actually happens

Mohit Joshi, CEO at Tech Mahindra

Reinventing businesses

By combining Tech Mahindra’s engineering and implementation expertise with the ServiceNow AI Platform, the two organizations will deliver:

  • Faster time-to-value: Validated playbooks developed through Tech Mahindra’s ‘Client Zero’ approach ensure proven, repeatable models are tested internally before customer rollout
  • Industry-specific solutions: Targeted offerings built on the ServiceNow AI Platform enable faster transformation, stronger governance and cost optimisation across manufacturing, telecommunications, BFSI, media and technology sectors
  • Outcome-led AI programmes: Scaled global practice capabilities and a new dedicated AI & Innovation Center of Excellence accelerate the deployment of tools like the ServiceNow AI Control Tower and ServiceNow EmployeeWorks to move clients past fragmented pilots.

AI partnerships maintained by Tech Mahindra:

  • Microsoft (2024): Deploys Copilot for Microsoft 365 and GitHub Copilot to over 15,000 employees and clients through a dedicated practice
  • Google Cloud (2025): Accelerates enterprise adoption of agentic AI and Gemini models to build industry-specific solutions
  • NVIDIA (2026): Collaborates on sovereign language models under Project Indus and builds agentic AI applications for enterprise and network operations

Through this internal deployment, Tech Mahindra has already achieved measurable outcomes by unifying its global IT operations with ServiceNow, including handling over 100,000 cases per month across 90 countries.

The two companies aim to collaborate with customers to build transformation roadmaps, drive platform adoption, embed robust governance frameworks and measure enterprise-wide business outcomes.

Bill McDermott, Chairman and CEO at ServiceNow. Credit: Bill McDermott/LinkedIn

Bill McDermott, Chairman and CEO at ServiceNow, states: “It takes an ecosystem to reinvent business.

“We’re proud to partner with Tech Mahindra, combining our AI Control Tower with their deep industry expertise to put AI to work at enterprise scale. AI only matters when it creates value for people.”

Key partners

  • Tech Mahindra: A provider of technology consulting and digital solutions with more than 146,000 professionals operating across 90 countries. The business offers services across consulting, IT, enterprise applications, business process services, engineering, network services, customer experience, gen AI, analytics, cloud and infrastructure. It is part of the Mahindra Group and received the Sustainable Markets Initiative’s Terra Carta Seal.
  • ServiceNow: An AI control tower for business reinvention that connects legacy systems, departmental tools, cloud applications and gen AI agents into a single pane of glass. Processing more than 100 billion annual workflows, its platform integrates across cloud environments, data sources and models to orchestrate enterprise workflows.
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