The next phase of AI belongs to those who industrialize it
As artificial intelligence matures from curiosity to critical infrastructure, KPMG Portugal has formalized a managed services division designed to carry enterprises across the widening gap between promising pilots and durable, governed operations. The move reflects a broader reckoning in the consulting world: the next chapter of AI adoption will not be won by those who experiment most boldly, but by those who can industrialize most wisely. With nearly all surveyed business leaders acknowledging both the urgency of AI and their reliance on external expertise to deploy it, the market has signaled its readiness — and the Big Four are answering in unison.
- Most enterprises are stuck at the pilot stage, able to demonstrate AI's potential but unable to embed it into the operations that actually drive revenue or reduce cost.
- Research commissioned by KPMG reveals near-universal anxiety: 98% of business leaders call AI implementation critical, yet the complexity of scaling it remains a formidable barrier.
- KPMG Portugal's new division reframes the conversation — positioning managed services not as outsourcing, but as a results-accountable partnership where the vendor owns outcomes, not just processes.
- The model bundles technology, automation, industry knowledge, and specialized teams into a single operating layer, designed to reduce friction and make transformation sustainable rather than episodic.
- With all four Big Four firms now moving in this direction, the industrialization of enterprise AI is shifting from competitive advantage to baseline expectation.
KPMG Portugal launched a managed services division this week, joining the other three members of the Big Four in formally positioning itself to help companies move AI from isolated experiments into governed, full-scale operations. The announcement is grounded in data: an IDC study found that 98% of business leaders consider AI implementation critical, 91% see managed services as relevant to deploying agentic AI, and 87% have already integrated these models into their digital transformation strategies.
At the helm of the effort is Pedro Penedo, the partner leading KPMG Portugal's managed services practice, who frames the offering as something distinct from traditional outsourcing. Rather than simply handing off a function to a vendor, the model is built around accountability for results — weaving together technology, data, automation, and industry-specific expertise to reduce complexity and generate business value continuously, not just at launch.
The distinction carries real weight for enterprises. Many organizations have run successful AI pilots but find themselves unable to cross into company-wide transformation. The gap between proof-of-concept and operational embedding remains wide, and it is precisely that gap KPMG is positioning itself to bridge. Whether the firm can deliver on the promise of making AI transformation both measurable and sustainable will determine whether the model becomes the dominant vehicle for the next phase of enterprise AI adoption.
KPMG Portugal announced the launch of a managed services division this week, positioning itself to help companies move artificial intelligence from experimental pilots into full-scale, governed operations that produce measurable business results. The move follows similar announcements from the other three members of the Big Four consulting firms, each recognizing that the next wave of AI adoption will belong to organizations that can industrialize the technology across their critical processes.
The decision rests on research. An IDC study commissioned by KPMG found that 98 percent of business leaders now consider AI implementation a critical capability for their organizations. More striking: 91 percent of those same leaders view managed services as relevant to deploying agentic AI systems—the kind of AI that can operate with some autonomy within defined parameters. And 87 percent say they've already woven these service models into their broader digital transformation strategies. The numbers suggest the market is ready, and the consulting firms are moving to meet it.
Managed services, in practice, means a company hands off the day-to-day management and maintenance of specific operational areas—technology infrastructure, human resources, finance departments—to an external specialist. KPMG's focus is on AI. But the firm frames this as something fundamentally different from traditional outsourcing. Pedro Penedo, the partner leading the managed services effort at KPMG Portugal, describes it as a results-oriented operating model that weaves together technology, data, automation, industry-specific knowledge, and specialized teams. The goal is to strip away complexity, accelerate the creation of business value, and make transformation sustainable over time rather than a one-off project.
The distinction matters. Traditional outsourcing often means handing a function to a vendor and stepping back. Managed services, as KPMG frames it, is a partnership in which the vendor takes responsibility for outcomes—not just for running the machinery, but for ensuring the machinery produces results. In the context of AI, that means moving beyond the proof-of-concept phase, where many companies currently sit, into the harder work of embedding AI into the actual operations that drive revenue or reduce cost.
For enterprises wrestling with how to scale AI beyond isolated experiments, the timing is significant. The technology has matured enough that companies can see its potential. But the gap between a successful pilot and a company-wide transformation remains wide. Managed services, as KPMG is positioning it, is meant to be the bridge—combining the firm's technical expertise, automation capabilities, and deep knowledge of specific industries to help clients navigate that gap. The question now is whether enterprises will embrace the model, and whether KPMG can deliver on the promise of making AI transformation operationally sustainable.
Notable Quotes
The next phase of AI will be won by organizations that can industrialize the technology in critical processes with governance, control, and measurable results. Managed services enable precisely that: combining technology, automation, and specialized knowledge to reduce complexity, accelerate value creation, and make transformation operationally sustainable.— Pedro Penedo, partner and head of managed services at KPMG Portugal
The Hearth Conversation Another angle on the story
Why does KPMG need a separate division for this? Couldn't they just sell AI consulting the way they always have?
Because consulting and managing are different work. A consultant comes in, designs a solution, and leaves. A managed service provider stays and runs it—they own the outcomes. That's a different business model, and it requires different incentives.
So the research showing 91 percent of leaders want managed services—is that demand real, or is it just what consultants want to hear?
The research is real, but it's also self-selecting. Leaders who are already thinking about scaling AI are more likely to respond to a survey about AI. What's interesting is that 87 percent say they've already integrated these models into their strategies. That suggests the market isn't waiting for KPMG to invent something new—it's already moving that direction.
What's the actual difference between this and outsourcing?
Outsourcing is transactional. You pay for a service. Managed services is outcome-focused. You pay for results. KPMG is saying they'll combine technology, automation, and specialized teams to reduce complexity and accelerate value. That's a promise about what happens, not just what gets delivered.
And if the results don't materialize?
That's the risk KPMG is taking on. In traditional outsourcing, the vendor isn't responsible if the client doesn't see value. In managed services, they are. It's why the firm is emphasizing governance and measurable results—they need to be able to prove the model works.