Shadow AI, Rogue Agents, and Missing ROI: The Case for a Managed AI Provider
Artificial intelligence is no longer a future consideration for enterprise leaders. It’s today’s operational reality, and the numbers heading into the second half of 2026 make that impossible to ignore. According to McKinsey’s Q1 2026 Global AI Survey, 72% of enterprises now have at least one AI workload in production, up from just 55% in 2024. Among companies with more than 5,000 employees, that figure climbs to 83%.
And yet the returns remain stubbornly out of reach for most. PwC’s 29th Global CEO Survey, drawing on responses from 4,454 CEOs across 95 countries, found that 56% of leaders say their company has seen neither higher revenues nor lower costs from AI. Only one in eight report both. As PwC noted, the divide is growing sharper between those still piloting and the small cohort that has deployed AI at scale with the right foundations in place.
That gap – between using AI and genuinely benefiting from it – is exactly what has driven a new category of partner to the forefront of enterprise technology strategy: the managed AI provider.
What Is a Managed AI Provider?
A managed AI provider (sometimes called a Managed AI Service Provider or Managed Intelligence Provider) is an organisation that takes on structured, ongoing responsibility for how AI is deployed, governed, monitored, and optimised within an enterprise.
As defined by industry sources, it is “a packaged service in which an MSP or IT provider administers AI tools for a client under defined configuration, provisioning, and governance rules.” It is not simply software resale. The relationship includes access control, adoption support, and continuous oversight of how AI is used across users and data.
In practical terms, a managed AI provider handles the things enterprises cannot feasibly manage alone: navigating rapid tool proliferation, tracking unsanctioned AI usage, enforcing security policies, measuring ROI, and keeping up with evolving regulatory requirements. Rather than piecing together disconnected tools or trying to hire from a talent pool that is chronically undersupplied, enterprises work with a managed AI provider for a structured, strategic approach to AI adoption.
Why the Demand for Managed AI Providers Is Surging
The scale of enterprise AI investment is unlike anything we have seen before. IDC’s Worldwide AI Spending Guide puts global AI spending at over $300 billion in 2026, up 34.8% year on year. And yet for the majority of organisations, the returns are not matching the investment.
PwC’s 29th Global CEO Survey found that 56% of CEOs say their company has seen no significant financial benefit from AI to date, while only 12% report both cost reductions and revenue gains. PwC’s own analysis found that companies with formalised AI risk processes are three times more likely to report meaningful financial returns – pointing directly to the value of structured management over ad hoc adoption.
The problem is rarely the technology itself. It is the lack of management around it.
Enterprises are dealing with several challenges at once:
Shadow AI: Employees are using AI tools that IT teams have never approved, vetted, or even heard of. These tools create data exposure risks, compliance gaps, and security vulnerabilities that legacy security tools are not built to catch.
Governance gaps: AI regulation is moving fast. By mid-2025, nearly 40% of enterprises had adopted AI trust, risk, and security frameworks, up from a predicted 30%, driven by rising regulatory pressure.
ROI uncertainty: Most enterprises do not have the measurement infrastructure to work out which AI use cases are delivering value and which are burning budget with nothing to show for it. According to KPMG’s Managed Services Outlook 2026, 56% of enterprise buyers cite AI management as a top priority for managed services investment over the next two years.
Agentic AI complexity: McKinsey’s 2025 research found that 23% of organisations are already scaling agentic AI systems, with an additional 39% experimenting with AI agents. Autonomous agents bring a new set of risks that most organisations are not equipped to handle: runaway costs, rogue behaviour, and unsupervised access to sensitive systems.
What a Managed AI Provider Actually Does
The scope of a managed AI provider goes well beyond IT support. The core job is helping organisations move from AI experimentation to AI that actually performs. Key functions typically include:
Discovery and visibility: Identifying all AI tools in use across the organisation, including the ones employees have adopted without IT approval. This requires purpose-built detection, not manual audits or catalogue-based approaches that are always a step behind.
Security and policy enforcement: Applying real-time controls over how AI is accessed and used, protecting sensitive data and intellectual property, and making sure security policies are applied consistently at scale.
Governance and compliance: Maintaining audit trails, supporting regulatory reporting, and enabling proper oversight of AI activity. This is especially critical in financial services, healthcare, and insurance, where the compliance bar is high.
ROI and value measurement: Turning AI usage data into useful business intelligence. Which use cases are working? Which are not? Where should investment go next? How is the AI programme tracking against its objectives?
Agentic AI management: As autonomous AI agents become a standard part of operations, managing token consumption, agent behaviour, and operational risk has become a discipline in its own right.
How Portal26 Approaches AI Adoption Management
Portal26 is one platform built from the ground up to tackle these challenges. Portal26’s mission is to provide enterprises with “full visibility and control of all Generative & Agentic AI to enable the buildout of a secure, trusted, and responsible AI program that lifts long-term organizational competitiveness and productivity.”
Portal26’s platform covers the full lifecycle of enterprise AI consumption, from security through to ROI. It serves CISOs and security teams who need to detect risk and enforce policy, as well as CIOs, CFOs, and department heads who need clear insight into how AI is being used and whether it is delivering results.
A few of our capabilities are worth highlighting:
Zero-Day Shadow AI Detection: Rather than relying on a global catalogue of known AI tools (an approach that is always behind the pace of new releases), Portal26 analyses every external destination visited from within an enterprise and provides a real-time feed of all direct and embedded AI being utilised across the organisation. Full automation means Shadow AI can be monitored or blocked as soon as it hits the network.
NIST FIPS Certified Forensic Audit Vault: Portal26 offers the industry’s only NIST FIPS certified AI Forensic Vault for prompt discovery, regulatory reporting, AI audit, and forensic investigation.
Explore AI Audit & Forensics >
Agentic Token Controls: As enterprises scale autonomous AI agents, uncontrolled resource usage has become a serious financial and operational risk. Portal26’s Agentic Token Control module gives organisations precise control over how much their autonomous AI agents consume and spend as they run, bringing predictability to agentic deployments before costs spiral.
Explore Agentic AI Management >
AI Value Realization: Portal26 provides a strategic intelligence module to help organisations make evidence-based decisions about AI investments. The module analyses every AI transaction in the organisation to understand not just where AI was used but also how and why, organising enterprise-wide usage into use cases.
Explore AI Value Realization >
As part of the industry’s firsts, Portal26 launched AI security capabilities in 2023, the industry’s only Zero-Day Shadow AI Discovery Engine in 2024, AI License Intelligence in 2025, and an AI Value Realization Solution in 2026.
Choosing the Right Managed AI Partner
Not all managed AI providers are the same, and the right choice depends on your organisation’s stage of AI maturity, regulatory environment, and strategic priorities. A few questions worth asking upfront:
- Does the provider offer real-time visibility into all AI usage, including tools nobody approved?
- How does the platform handle security policy enforcement across generative and agentic AI?
- What audit and compliance capabilities are available, and are they independently certified?
- How does the platform measure and report on AI ROI at a use-case level?
- Can the provider scale with you as agentic AI becomes central to how you operate?
These are not abstract questions. KPMG’s 2026 research found that 98% of enterprises now cite AI implementation capability as a key requirement when vetting managed services providers, which makes this one of the most closely scrutinised vendor decisions in enterprise technology right now.
Security Is Not Enough on Its Own
Most conversations about managed AI providers start and end with security. And yes, detecting Shadow AI, enforcing policies, and locking down rogue agents matters enormously. But security alone does not justify the investment enterprises are making in AI. Boards and CFOs are asking a harder question: where is the return?
Security is the starting point. It shouldn’t be the finish line. The organisations that will pull ahead are not just the ones that govern AI safely. They are the ones that govern it strategically, using the same data that feeds their security posture to also drive decisions about which AI use cases to fund, which tools to consolidate, and where the real productivity gains are actually landing.
That full-lifecycle view, from first detecting what AI is running across your organisation all the way through to measuring its business impact, is what separates a genuine managed AI provider from a security tool with a governance badge slapped on it. It is also what makes Portal26’s positioning worth paying attention to. Rather than treating security and ROI as separate problems, our platform is built on the premise that the same visibility infrastructure that protects you should also be the thing that helps you win commercially.
For enterprise leaders trying to move past pilots and proof-of-concepts, that joined-up approach is not a nice-to-have. It is the only way the numbers ever start to add up.
Learn more about how Portal26 helps enterprises manage the full lifecycle of AI adoption