AI has the potential to transform how enterprises operate, but for most organizations, scaling it sustainably is still out of reach. According to McKinsey, while over 75% of organizations have adopted AI in at least one business function, only a small fraction have achieved significant financial benefits at scale. The gap isn’t just about ambition. It’s about execution. 

That’s where Managed AI Services come in. Rather than going it alone, enterprise IT and innovation leaders are partnering with experts to accelerate results, reduce risk, and stay focused on strategic priorities. 

Here are five reasons why Managed AI is gaining traction and why you should consider looping in the experts: 

1. Faster Time to Value 

Developing internal AI capabilities from the ground up can be a lengthy process, involving months of experimentation, tuning, and retraining. Partnering with a managed AI service provider offers access to proven frameworks, pre-built platforms and accelerators, and real-world experience, enabling organizations to transition from concept to impact in weeks rather than quarters. 

According to McKinsey’s report on the state of AI, organizations that have successfully embedded AI capabilities are seeing significant value. These “AI high performers” attribute at least 20% of their earnings before interest and taxes (EBIT) to AI adoption.  

2. Predictable and Scalable Costs 

Building an internal AI team means competing for scarce, high-cost talent. Data scientists, prompt engineers, machine learning engineers, and AI architects are in short supply and command premium salaries. 

With Managed AI Services, you avoid the hiring scramble. You gain access to expert capabilities at a predictable monthly cost, giving you flexibility to scale your AI initiatives based on business demand—without blowing your budget or overextending your team. 

According to Indeed, in 2024, the average salary for an AI engineer/Data Scientist in the United States exceeds $125,000, and that’s just one role.  

3. Built-In Governance & Compliance 

AI risk is real. Model drift impacting accuracy, unexpected compliance audits, or data mismanagement leading to regulatory penalties are potential challenges for all organizations. Managed AI Services help you proactively manage these risks by embedding robust governance processes directly into your AI operations. 

With comprehensive oversight, automated monitoring, and built-in adherence to critical regulatory frameworks like HIPAA, GDPR, and the NIST AI RMF, Managed AI streamlines compliance tasks and shields your organization from costly violations and operational disruptions. Let our experts free your internal teams from complex regulatory requirements to focus on business outcomes.  

IDC predicts that by 2026, 50% of enterprises will use AI managed services to accelerate deployment and reduce complexity. (IDC Futurescape, 2024) 

4. Access to Top-Tier Expertise 

Hiring AI experts isn’t just expensive. It’s slow, and the talent gap is growing.

With managed services, you skip the recruiting backlog and gain immediate access to a expert AI advisory services that cover everything from prompt governance, model selection to compliance, DevOps, and user adoption. 

These experts bring real-world experience from deploying AI in retail, healthcare, finance, government, and manufacturing, so you’re not experimenting, you’re executing. 

According to HRD the AI talent gap is widening. In fact, Bain & Company predicts that one in two AI jobs could be left unfilled by 2027. The demand for AI skills will outpace supply by over 50%, making external expertise essential for enterprise AI initiatives. 

5. Business-Aligned Strategy and Execution 

AI only delivers impact when it’s aligned with business priorities, not just deployed for the sake of innovation. Too often, internal teams get stuck in technical pilots that never translate into real outcomes. 

Managed AI Services ensure your investments stay grounded in measurable goals. From use case selection and business case development to change management and performance tracking, these services are designed to drive results, not shelfware. 

According to a 2025 Forbes report, only about 25% of companies are currently seeing ROI from their AI initiatives, highlighting the importance of strategic alignment and execution.