KPMG survey finds 90% of executives see managed services as essential to agentic AI

Over 90% of executives say managed services are critical to deploying agentic AI, per a KPMG and IDC survey of 1,200+ senior leaders. AI expertise topped the list of factors when choosing a provider.

Published on: Apr 09, 2026
KPMG survey finds 90% of executives see managed services as essential to agentic AI

Executives Turn to Managed Services as Essential for AI Deployment

More than 90 percent of executives view managed services as critical to rolling out agentic AI systems, according to survey findings released by KPMG and IDC.

The research drew responses from over 1,200 senior leaders at large organizations across North America, Europe and Asia Pacific, with most companies reporting annual revenue between $1 billion and $10 billion.

Strategic Priority, Not Cost-Cutting

Managed services have shifted from their traditional role as a cost-saving tool to becoming central to transformation strategies. Eighty-seven percent of respondents said they had already integrated managed services into their digital transformation plans.

Ninety-nine percent of organizations now treat managed services as a strategic priority, with two-thirds expecting significant operating, business and strategic impact within 24 months.

What Executives Want From Providers

When selecting a managed services provider, executives ranked AI expertise as the most important factor. Technology capability, data expertise and strategic transformation mindset followed.

Over the next two years, 56 percent of buyers plan to prioritize AI management in their managed services spending. Cybersecurity ranked second at 33 percent, reflecting concerns about risks tied to AI adoption.

Speed Over Building Internally

Many large organizations operate hybrid environments mixing on-premises systems with cloud platforms, creating complexity that slows AI projects. Managed services providers help companies move faster by handling systems integration, data management, governance and deployment.

Rather than building AI systems entirely in-house, companies increasingly use external specialists to embed AI into existing operations. Examples include AI agents for cybersecurity, IT diagnostics, software coding and regulatory reporting.

Companies face capability gaps in governance, talent, data readiness and model deployment. Managed services address these shortfalls without requiring years of internal hiring and infrastructure work.

Innovation, Not Just Operations

The survey shows a significant shift in how executives view outsourced technology support. While operational efficiency still matters, technology innovation has become the primary expected benefit.

This marks a departure from earlier outsourcing models, which focused mainly on cost reduction and routine task management. Today's leaders see managed services as a way to stay competitive when internal resources and legacy systems constrain AI adoption.

For more on AI strategy at the executive level, see AI for Executives & Strategy.


Get Daily AI News

Your membership also unlocks:

700+ AI Courses
700+ Certifications
Personalized AI Learning Plan
6500+ AI Tools (no Ads)
Daily AI News by job industry (no Ads)