Prospects are on the hunt for smarter fashions, extra succesful brokers, and market-ready options to operationalize AI workflows.
Leaders are chasing the AI frontier, reimagining enterprise programs as human-led and agent-operated. To do that, clients are on the hunt for smarter fashions, extra succesful brokers, and market-ready options to operationalize AI workflows.
When Forrester modeled the economics of enterprise AI with Microsoft Foundry, the most important driver behind the 327% ROI over three years1 was shocking: developer productiveness, price $15.7 million over the identical interval.
The research confirmed that the bottleneck to ROI may be eliminated by enabling builders to concentrate on what issues.
The hidden tax in your AI funding
In most organizations, senior engineers spend a 3rd of their time on undifferentiated work: stitching collectively fragmented instruments, recreating context pipelines, and navigating bespoke governance processes. None of that’s aggressive benefit for companies—it’s a tax on each AI initiative.
Based on Forrester, organizations utilizing Foundry averted a lot of this work, enhancing technical workforce productiveness as much as 35%. Groups utilizing Foundry to develop AI apps and brokers noticed payback in as few as six months and with advantages accelerating 12 months over 12 months1.
The small print: What the Forrester research discovered
Forrester interviewed 10 decision-makers at 5 organizations and surveyed 154 different decision-makers and AI leaders throughout the U.S. and Europe with expertise utilizing Microsoft Foundry. They modeled a composite enterprise with $10 billion income, 25,000 workers, and 100 technical workers utilizing Foundry. To mannequin conservative estimates, advantages had been adjusted downward and prices upward; the outcomes replicate the composite enterprise.
Determine 1: Survey outcomes and reported advantages
When requested “What advantages has your group skilled with Microsoft Foundry?”, respondents cited operational outcomes:
Forrester discovered that platform investments compound in worth. For a workforce that invests $11.6M in sources, the three-year current worth of quantified advantages for the composite group totaled $49.5M: Yr one delivered $10.0M, 12 months two $21.1M, 12 months three $30.5M.
Determine 2: Advantages breakdown
When each venture begins from scratch
AI initiatives would require fashions, enterprise data, instruments, and governance. With out a shared platform, groups will encounter toil. With enterprise data as the instance, for each AI venture, groups have to create vector databases, RAG pipelines, integrations, and access-control guidelines, creating inside infrastructure that doesn’t immediately affect enterprise outcomes.
With Foundry, groups develop AI purposes and brokers on a unified, interoperable AI platform designed to allow brokers to be clever and reliable: with reusable data bases on knowledge anyplace within the enterprise, protected by built-in evaluations, and agent controls. In Forrester’s TEI research, 75% of groups cited simpler mannequin grounding or data supply integration with Foundry IQ.
Over three years, the productiveness acquire alone was price as much as $15.7 million1. One Foundry buyer stated,
Our builders can go tremendous quick as a result of they will get what they want in Microsoft Foundry … We estimate that we cut back total improvement time by 30%–40%.
—World head of expertise platforms, skilled companies
Organizations noticed compounding returns after they constructed as soon as and reuse in every single place with shared templates, data bases, standardized evaluations, and constant governance. This helps to clarify a counterintuitive discovering: organizations that targeted power consolidating on a unified platform outperformed these which didn’t. Their execution is easier and due to this fact stronger.
The necessity for platform considering
Level options develop in enterprises over time. Every solves a slim downside, however every additionally introduces its personal governance layer, context pipeline, and integration floor. The hidden price right here builds up within the stitching between these options.
Within the Forrester research, 32% of surveyed organizations that adopted Foundry had been in a position to lower prices by decommissioning legacy AI instruments, and the composite group averted as much as $4.3M in infrastructure prices over three years by eliminating duplicative workflows, integrations, and operational overhead. For instance, one buyer shared they had been in a position to decommission their container-based infrastructure and eradicate spending on earlier AI mannequin improvement instruments because the performance was included within the Foundry platform:
One of many advantages of utilizing Foundry versus taking these fashions and working them in containers within the cloud is that then you definately don’t must handle the container infrastructure.
—Managing director and international head of co-innovation, skilled companies
Division-level budgets favor level options, however enterprise-level outcomes require platform considering. That mismatch is why AI spend usually fails to translate into sustained worth as organizations shift from remoted pilots to scaled deployments.
Belief unlocks higher-impact work
Most enterprises begin with internal-facing AI use circumstances earlier than they shift to customer-facing options. Two-thirds of AI brokers right this moment concentrate on course of automation, whereas one-third assist direct human help1. The ratio issues. Most enterprises have to belief AI with bounded, auditable duties earlier than they will belief it to reinforce human judgment.
Foundry Management Aircraft allows organizations to control the AI lifecycle with organization-wide observability and controls. This consists of centrally managed insurance policies for mannequin deployment, configurable guardrails, and steady evaluations to see what’s working, repair what’s failing, and show compliance throughout any atmosphere.
Mannequin scanning executed by Microsoft on the fashions … is a key requirement for us. … we wish to be sure that we perceive what the mannequin comprises and whether or not it comprises something that isn’t according to coverage.
—Principal product supervisor, skilled companies
It’s no shock that 67% of surveyed organizations cited considerations with AI safety, privateness, or governance as a prime motive for adopting Microsoft Foundry, rating it greater than mannequin entry, capabilities, and price inefficiencies. In essence, belief is a permission slip that allows organizations to develop from remoted course of automation initiatives into higher-impact work at scale.
What leaders ought to do about AI now
The Forrester TEI research makes one factor unmistakable: enterprise AI ROI compounds when AI is handled as a platform, not a collection of one-off initiatives.
The most important positive factors come from giving technical groups a reusable basis, together with fashions, brokers, and instruments that scale throughout use circumstances and eradicate repetitive work. When AI improvement turns into repeatable, worth accelerates and confidence follows.
Be taught extra about the advantages of AI workflows
The Forrester Complete Financial Affect™ research on Microsoft Foundry was commissioned by Microsoft and carried out by Forrester Consulting.
1The Complete Financial Affect™ Of Microsoft Foundry, a commissioned research carried out by Forrester Consulting, February 2026
2Represents outcomes for the composite group