KPMG says managed services are shifting to outcomes in AI era
KPMG’s managed services pitch is being recast around AI outcomes, not labor arbitrage. That shift changes how teams sell, staff, and measure work inside the firm.
KPMG surveyed 1,224 senior leaders, including 304 U.S. executives, and found a sharp reset in what enterprise buyers want from managed services. The old pitch of cheaper execution is giving way to a demand for AI capability, governance, and business outcomes, and that changes the job inside KPMG for everyone from account leads to delivery teams. Buyers are no longer treating managed services as a sidecar to transformation. They are treating it as part of the transformation itself.
Managed services is now an AI conversation
The clearest signal in the research is that AI has moved to the center of the buying decision. In KPMG’s survey, 91 percent of companies view managed services as important for delivering agentic AI, and U.S. buyers rank AI capability as their top criterion when selecting providers. Globally, the next most important filters are overall tech proficiency, data expertise, and a strategic transformation mindset.
The market is no longer asking providers to simply run work more cheaply. Buyers are asking who can connect data, platforms, security, and operating changes well enough to make AI usable in production. For advisors and managed-services professionals, that means the conversation starts earlier in the sales cycle and reaches deeper into architecture, risk, and change management.
Companies are still operating in hybrid environments that mix legacy on-premises systems and cloud platforms. In that setup, the real value is not a labor cut but a bridge: help moving data, standardizing processes, and keeping AI programs from stalling when old systems and new tools collide.
The numbers point to a broader operating-model shift
In KPMG’s survey, 87 percent of respondents have already woven managed services into their digital-transformation plans, and 99 percent of organizations now treat managed services as a strategic priority. Two-thirds expect the model to drive major operating, business, and strategic impact within 24 months.
The category is being repositioned from outsourcing to outcomes. A buyer that sees managed services as strategic will not evaluate a team only on ticket volume, labor rates, or capacity relief. It will judge whether the provider helps the business move faster on transformation, absorb tech debt, and close talent gaps without slowing the rollout of new tools.
The model helps leaders bypass tech debt and talent gaps to unlock AI more quickly. That is a direct warning for delivery organizations inside the firm: a managed-services offer that still looks like back-office staffing will miss the point. The winning offer needs to look like an operating partnership built to reduce friction in the client’s transformation program.
Where KPMG’s managed-services work needs to change
For people inside KPMG, staffing and training now need to match the buyer’s priorities. If AI capability is the first thing clients ask about, then account teams need people who can speak credibly about data flows, model governance, cybersecurity, and cloud optimization, not just process efficiency.
That changes how managed-services professionals are assembled and measured. Teams that used to be evaluated on throughput and cost discipline will increasingly need to be measured on whether they can support AI adoption, keep delivery stable in mixed legacy-and-cloud environments, and help clients adapt operating models without breaking compliance or security requirements. In practice, that means more cross-functional staffing across consulting, technology, and operations, because the client problem spans all three.
In KPMG’s survey, 56 percent of buyers name AI management as their top managed-services investment priority over the next two years, with cybersecurity next at 33 percent. The firm’s bench has to be ready for conversations that combine technical depth with risk control. That is especially true in large organizations, where the majority of surveyed companies have revenue of US$1 billion to US$10 billion and typically face enough scale and complexity to make implementation harder, not easier.
What the market says comes next
Three years from now, the top area of managed-services value will be AI management, followed by cybersecurity and cloud optimization. Buyers are signaling that managed services will prove itself not in the lowest hourly rate, but in the ability to run complex environments safely while AI becomes part of everyday operations.
Ron Walker, KPMG International’s global head of managed services, frames the shift as companies using AI-enabled managed services to get new technologies into the business faster and prepare for continued innovation. Bill Latshaw, IDC Business Consulting Services practice research lead, describes progressive companies as using managed services as a strategic engine for rapid innovation. Both describe managed services as a driver of faster innovation, not just cost control.
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