{"id":7373,"date":"2026-08-01T11:18:30","date_gmt":"2026-08-01T15:18:30","guid":{"rendered":"https:\/\/workai.tv\/news\/2026\/08\/ai-engineering\/infosys-tcs-and-wipro-scale-microsoft-365-copilot-to-over-300000-employees\/"},"modified":"2026-08-01T11:18:30","modified_gmt":"2026-08-01T15:18:30","slug":"infosys-tcs-and-wipro-scale-microsoft-365-copilot-to-over-300000-employees","status":"publish","type":"post","link":"https:\/\/workai.tv\/news\/2026\/08\/ai-engineering\/infosys-tcs-and-wipro-scale-microsoft-365-copilot-to-over-300000-employees\/","title":{"rendered":"Infosys, TCS and Wipro scale Microsoft 365 Copilot to over 300,000 employees"},"content":{"rendered":"

Share with your CIO<\/h2>\n

Infosys, TCS, and Wipro have each crossed 100,000 Microsoft 365 Copilot seats, pushing their collective deployment past 300,000 licenses<\/a> in under six months. Wipro reports 95% monthly active usage, 7.5 million prompts per month, and 250,000 FTE days saved per quarter. TCS shows 86% daily active usage with 20-25% productivity gains in research and content tasks. Infosys sits at 91% monthly active usage. All three have moved past productivity metrics into agentic workflows, with Wipro alone running 29,000 end-user-built agents and 60 enterprise-grade agentic solutions.<\/p>\n

What this means for your business<\/h2>\n

The number that should stop you is 95% monthly active usage. Enterprise software deployments typically plateau at 30-40% adoption within the first year. When a 300,000-person rollout hits 95% activation inside six months, the adoption curve has fundamentally changed shape. That’s not a training program outcome. That’s what happens when AI lands inside tools people already open every morning, meaning the integration layer is doing the heavy lifting your change management team can’t.<\/p>\n

The shift from productivity tool to operating model isn’t marketing language here. Wipro’s appraisal agent cutting performance review effort by 70% is a process redesign, not a time-saver. The same pattern shows up in TCS’s 2x faster insight generation: the output isn’t slightly better, the workflow is structurally different. Any CIO still measuring Copilot ROI in “hours saved per user per week” is measuring the wrong thing. The question is whether your core processes have been rebuilt around AI or merely assisted by it.<\/p>\n

The signal worth watching: these three firms are IT services companies whose product is labor arbitrage delivered at scale. When they deploy AI aggressively to their own workforces, they’re not just cutting costs internally. They’re building the operational muscle to sell AI-transformed delivery to every enterprise client they serve. Your outsourcing contracts, your managed services agreements, your system integrator relationships all get renegotiated under this new reality. The CIOs who understand what’s happening inside TCS right now will be better positioned when those conversations start.<\/p>\n

Concept deep-dive: End-user developed agents<\/h2>\n

An end-user developed agent is an AI workflow built by a non-technical employee, typically using no-code tools inside Microsoft Copilot Studio or similar platforms, to automate a personal or team-level task. They exist because the bottleneck in enterprise AI isn’t model capability, it’s deployment speed. Think of it like the spreadsheet moment: IT didn’t build every Excel model in the 1990s, business users did. Wipro’s 29,000 such agents represent distributed automation capacity that no central IT team could have produced. The governance question of what those agents are doing is the CIO’s next problem to solve.<\/p>\n

Based on reporting from Infosys, TCS and Wipro scale Microsoft 365 Copilot to over 300,000 employees<\/a>, originally published 2026-06-03 03:00:00.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Share with your CIO Infosys, TCS, and Wipro have each crossed 100,000 Microsoft 365 Copilot seats, pushing their collective deployment past 300,000 licenses in under six months. Wipro reports 95% monthly active usage, 7.5 million prompts per month, and 250,000 FTE days saved per quarter. TCS shows 86% daily active usage with 20-25% productivity gains […]<\/p>\n","protected":false},"author":1,"featured_media":7374,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[145],"tags":[],"tmauthors":[],"class_list":["post-7373","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai-engineering"],"_links":{"self":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/posts\/7373","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/comments?post=7373"}],"version-history":[{"count":0,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/posts\/7373\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/media\/7374"}],"wp:attachment":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/media?parent=7373"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/categories?post=7373"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/tags?post=7373"},{"taxonomy":"tmauthors","embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/tmauthors?post=7373"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}