The Partnership is to Deliver Production-Ready Enterprise AI at Scale

FinTech BizNews Service
Mumbai, 20 August, 2026: Tech Mahindra (NSE: TECHM), a leading global provider of technology consulting and digital solutions to enterprises across industries, and ServiceNow (NYSE: NOW), the AI control tower for business reinvention, today announced an expanded multi-year partnership designed to accelerate how enterprises move from AI pilots to production-scale deployments.

Mohit Joshi, Chief Executive Officer and Managing Director at Tech Mahindra.
Customer Benefits
By combining Tech Mahindra’s global industry, engineering, transformation, and implementation expertise with the ServiceNow AI Platform, the two organizations will partner to help deliver the following customer benefits:
To help deliver these benefits, Tech Mahindra and ServiceNow will work closely with customers to build transformation roadmaps, strengthen platform adoption, embed governance frameworks, and measure business outcomes across their customer base.
“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,” said Bill McDermott, Chairman and CEO of ServiceNow. “AI only matters when it creates value for people. Tech Mahindra is already turning that vision into business results. With the ServiceNow AI Platform, they’re driving significant cost benefits, elevating experiences for 150,000 employees, and optimizing first-level IT support by ~25%. Now we’re taking that winning formula to our customers.”
“Enterprises are entering a new phase of AI adoption where the priority is no longer experimentation, but trusted execution at scale. To unlock meaningful business value, AI must be embedded into the systems, workflows, controls, and operating models where enterprise work actually happens,” said Mohit Joshi, Chief Executive Officer and Managing Director at Tech Mahindra. “Our expanded partnership with ServiceNow brings together platform strength, industry context, AI governance, and transformation capability to help customers operationalize AI responsibly, accelerate productivity, and create measurable outcomes across the enterprise.”