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Modernization is no longer a project. 

AI-enabled managed services for continuous change
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Many organizations pilot AI, but only 12% have achieved true AI-driven operations.

 

While 90% of large enterprises already leverage AI in application operations, most still modernize through one-off projects: an approach that limits AI's ability to deliver consistent, measurable value.

 

The key to unlocking results? A shift to continuous modernization.

 

By embedding AI into operations, organizations achieve the speed and observability needed to rebuild core systems, without disrupting the business.

 

In partnership with IDC, this research report reveals how to transform reactive IT into an engine of AI-driven, continuous modernization. Discover how to build systems that “grow up” instead of growing old, freeing up capital to fuel future innovation.

 

What you'll discover

Where AI adoption stands today

 

AI use in application operations is already widespread: ~50% overall and nearly 90% among large enterprises. But ROI is still uncertain, and poor data quality continues to limit impact

 

The cost of project-based modernization

 

Nine in 10 organizations rely on project-based modernization, but only two in 10 see sustainable value. It rarely delivers a lasting business advantage, and often leads to team burnout.

 

 

Why continuous modernization is taking hold

 

One in three organizations are moving to rebuild for the AI era, shifting from intermittent programs to platform-driven engines that drive velocity and agility, and reduce technical debt.

 

How AI-driven operations change the game

 

AI clears operational noise, surfaces risks earlier and automates routine work in ITOps, allowing teams to shift their focus from firefighting to high-value business problems.

 

 

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A blueprint for execution

 

The report concludes with a 180-day action plan to help you prove the value of AI-driven operations, using a phased approach to align people, processes and platforms.

 

Get the 180-day action plan to operationalize AI

 

FAQs

  • It explores the link between AI adoption and modernization strategies. While most companies are using AI in operations, very few are seeing consistent value. The report explains why the widespread model of one-off modernization blocks AI results, and how leading organizations are moving to AI-enabled, continuous modernization through ITOps.

     

  • AI isn’t a magic wand; it’s an amplifier. If you layer it on top of fragile, siloed systems, it just magnifies the chaos. Modernizing and rebuilding the core ensures your data and infrastructure are stable enough to actually handle the weight of intelligent automation.

  • The “project” mindset. Our research shows that 9 out of 10 organizations still treat modernization as a one-off event with a start and end date. This leads to "stop-start" investment cycles that burn out teams, pile up technical debt and prevent AI from delivering consistent value.

  • It shifts the focus from fixing what breaks to making improvement a default setting. A platform-driven engine allows systems to evolve and self-heal constantly. This provides AI with a reliable environment to access data and automate processes without disrupting the rest of the business.

  • AI is closing the gap between IT operations and business objectives. Beyond automating manual “grunt work” such as testing and security scans, it provides the speed and observability required to ship features that directly impact competitive advantage.

See where to optimize and modernize your IT portfolio