{"id":49646,"date":"2026-03-06T09:00:00","date_gmt":"2026-03-06T17:00:00","guid":{"rendered":""},"modified":"2026-03-06T15:26:55","modified_gmt":"2026-03-06T23:26:55","slug":"the-economics-of-enterprise-ai-what-the-forrester-tei-study-reveals-about-microsoft-foundry","status":"publish","type":"post","link":"https:\/\/azure.microsoft.com\/en-us\/blog\/the-economics-of-enterprise-ai-what-the-forrester-tei-study-reveals-about-microsoft-foundry\/","title":{"rendered":"The economics of enterprise AI: What the Forrester TEI study reveals about Microsoft Foundry"},"content":{"rendered":"\n

Leaders are chasing the AI frontier, reimagining business systems as human-led and agent-operated<\/strong>. To do this, customers are on the hunt for smarter models, more capable agents, and market-ready solutions to operationalize AI workflows.<\/p>\n\n\n\n

When Forrester modeled the economics of enterprise AI with Microsoft Foundry<\/a>, the biggest driver behind the 327% ROI over three years<\/a>1<\/sup> was surprising: developer productivity, worth $15.7 million over the same period.<\/p>\n\n\n\n

The study showed that the bottleneck to ROI can be removed by enabling developers to focus on what matters.<\/p>\n\n\n\n

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Read the full Forrester study<\/a><\/div>\n<\/div>\n\n\n\n\n\n

The hidden tax on your AI investment<\/h2>\n\n\n\n

In most organizations, senior engineers spend a third of their time on undifferentiated work: stitching together fragmented tools, recreating context pipelines, and navigating bespoke governance processes. None of that is competitive advantage for firms\u2014it’s a tax on every AI initiative.<\/p>\n\n\n\n

According to Forrester, organizations using Foundry avoided much of this work, improving technical team productivity up to 35%<\/a>. Teams using Foundry to develop AI apps and agents saw payback in as few as six months and with benefits accelerating year over year1<\/sup>.<\/p>\n\n\n\n

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Learn more about what you can do with Microsoft Foundry<\/a><\/div>\n<\/div>\n\n\n\n

The details: What the Forrester study found<\/h2>\n\n\n\n
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Forrester interviewed 10 decision-makers at five organizations and surveyed 154 other decision-makers and AI leaders across the U.S. and Europe with experience using Microsoft Foundry. They modeled a composite enterprise with $10 billion revenue, 25,000 employees, and 100 technical staff using Foundry. To model conservative estimates, benefits were adjusted downward and costs upward; the results reflect the composite enterprise.<\/p>\n\n\n\n

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Read the full Forrester study<\/a><\/div>\n<\/div>\n\n\n\n

Figure 1: Survey results and reported benefits<\/h3>\n\n\n\n

When asked “What benefits has your organization experienced with Microsoft Foundry?”, respondents cited operational outcomes:<\/p>\n\n\n\n

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Note: These reflect reported experiences, not the financial model. Composite ROI is calculated separately using Forrester\u2019s risk-adjusted methodology.<\/em> Source: Survey of 154 AI decision-makers, Forrester TEI study, February 2026<\/em><\/figcaption><\/figure>\n\n\n\n

Forrester found that platform investments compound in value. For a team that invests $11.6M in resources, the three-year present value of quantified benefits for the composite organization totaled $49.5M: Year one delivered $10.0M, year two $21.1M, year three $30.5M.<\/p>\n\n\n\n

Figure 2: Benefits breakdown<\/h3>\n\n\n\n
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Source: The Total Economic Impact\u2122 Of Microsoft Foundry<\/a>, a commissioned study conducted by Forrester Consulting, February 2026<\/em><\/figcaption><\/figure>\n\n\n\n

When every project starts from scratch<\/h2>\n\n\n\n

AI initiatives will require models, enterprise knowledge, tools, and governance. Without a shared platform, teams will encounter toil. With enterprise knowledge as the example, for every AI project, teams need to create vector databases, RAG pipelines, integrations, and access-control rules, creating internal infrastructure that does not directly influence business outcomes.<\/p>\n\n\n\n