Growing focus on measurable value from AI prompts organizations to unify data, productivity and cloud capabilities, ISG Provider Lens® report says
Enterprises in the U.S. are integrating Microsoft AI and cloud capabilities into AI-native operating models that improve enterprise performance, according to a new research report published today by Information Services Group (ISG) (Nasdaq: III), a global AI-centered technology research and advisory firm.
Enterprise AI is moving into a phase where economic discipline is as important as technical capability. Platforms such as Microsoft’s are benefiting as enterprises increasingly prefer integrated operating models over disconnected point solutions.Share
The 2026 ISG Provider Lens® Microsoft AI and Cloud Ecosystem report for the U.S. finds that enterprises are combining AI, data, analytics and productivity technologies into unified environments for continuous automation and business intelligence. Rising economic pressures and closer scrutiny of technology spending are increasing demand for measurable business outcomes, predictable costs and faster realization of value from AI and cloud investments.
“Enterprise AI is moving into a phase where economic discipline is as important as technical capability,” said Bill Huber, partner, ISG Digital Platforms and Solutions. “Organizations are looking beyond individual AI tools to redesign work, simplify technology environments and create business value. Platforms such as Microsoft’s are benefiting as enterprises increasingly prefer integrated operating models over disconnected point solutions.”
Companies are embedding Microsoft Fabric, Azure OpenAI and Copilot into business applications, productivity tools and data platforms to deeply embed AI in business processes. Integrated intelligence supports continuous optimization, real-time insights and more consistent business execution across multiple functions. Unified platforms also simplify technology environments and help organizations establish a foundation for scalable, long-term AI adoption.
U.S. enterprises are changing the way they consume Azure services as they increase their use of AI-intensive applications, always-on analytics and data-centric architectures. This trend is drawing attention to cost transparency, resource optimization and financial accountability, driving more use of FinOps practices. Enterprises are also selecting platform-based operating models over one-time implementations because they better support ongoing enhancement and measurable business outcomes.
Organizations in the U.S. are strengthening responsible AI frameworks in step with expanding AI use. Many are establishing AI centers of excellence, policy-based controls and continuous monitoring to improve visibility and maintain trusted AI operations. Increasingly, enterprises prefer pre-integrated AI solutions from the Microsoft Commercial Marketplace, because they combine security, transparent pricing and validated architectures, ISG says.
“Successful Microsoft AI programs combine scalable platforms with disciplined execution and trusted operating practices,” said Dr. Tapati Bandopadhyay, lead author of the report. “Service providers help enterprises establish repeatable frameworks that enable them to expand AI adoption while aligning technology investments with business objectives.”
The report also explores other trends in the Microsoft AI and cloud ecosystem, including growing demand for AI-driven managed services and increasing adoption of multi-agent AI systems that support autonomous workflows and real-time decision-making.
For more insights into the Microsoft-related challenges faced by enterprises in the U.S., along with ISG’s advice for addressing them, see the ISG Provider Lens Focal Points briefing here.
The report evaluates the capabilities of 35 providers across four quadrants: Microsoft Productivity and Business Process Services, Azure Data Transformation and AI Services, Azure Managed Services and Azure Professional Services.
It names Accenture and Avanade, Cognizant, DXC Technology, HCLTech, Hexaware, Infosys, NTT DATA, Rackspace Technology and TCS as Leaders in all four quadrants. LTM is named as a Leader in three quadrants. Capgemini, Coforge, Genpact, IBM and Kyndryl are named as Leaders in one quadrant each.
In addition, Coforge and Tech Mahindra are named as Rising Stars — companies with a “promising portfolio” and “high future potential” by ISG’s definition — in two quadrants each. Brillio, Genpact, Kyndryl and Persistent Systems are named as Rising Stars in one quadrant each.
