Moving AI beyond just an experiment

AI experimentation

United Kingdom, May 19, 2026

Closing the gap between AI ambition and measurable outcomes is the next phase of digital transformation

According to the Logicalis CIO Report 2026, 72% of organisations plan to increase their investment in generative AI over the next 12 months, underscoring the momentum AI has created over the last few years. Despite this, confidence in the results remains fragile. Just 62% of CIOs say their AI initiatives have delivered measurable business value so far, and nearly 9 in 10 describe their approach as "learning as they go."

And increasingly, organisations are recognising that achieving that value isn't something they can do alone.

What blocks success with AI is often obscure

AI dominates conversations at a strategic level, so why aren't CIOs reporting more success? The answer lies in the fundamentals:

  • 88% of organisations cite a lack of internal technical skills as a constraint
  • 88% say infrastructure limitations are holding them back
  • 57% admit that employee use of AI tools is already creating security risks
  • Only 37% have full visibility of AI usage across their business

Put simply, AI simultaneously adds tremendous pressure across three already critical areas: infrastructure, operations, and security.

AI success depends on more than technology; it requires the right foundation, the right operating model, and the right partnership to bring it together.

Cathryn de Freitas
Networking Alliance Manager
Logicalis UK&I

Internal IT teams can't handle the extra weight alone. Collaborating with a healthy partner ecosystem can help organisations alleviate that pressure. 94% of organisations expect to work with managed service providers in the coming years, with nearly half anticipating that external partners will take on core IT delivery. Those partnerships are most effective when they combine global technology platforms with local delivery and lifecycle expertise, to ensure strategy doesn't stall at implementation.

Why a lifecycle approach matters more than ever

One of the biggest risks in the current AI landscape is fragmentation, which occurs when organisations deploy new technologies in isolation, without a clear path to scale or contribute to the overall business strategy.

A lifecycle approach helps address this by keeping everything connected:

  • Designing infrastructure aligned to business outcomes
  • Deploying with consistency across regions and environments
  • Operating with proactive monitoring and optimisation
  • Evolving continuously as AI use cases mature

Long-standing partnerships lend themselves well to the lifecycle approach. With over 25 years of collaboration, Logicalis have developed a model with Cisco that goes beyond deployment, combining Cisco's innovation across networking, security, and cloud with a service-led methodology focused on continuous optimisation and measurable outcomes.

For IT leaders, that means shifting away from reactive support and towards a more proactive, outcome-driven operating model that keeps pace with both technological change and business demand.

AI-ready networks: the foundation of modern businesses

High-bandwidth, low-latency environments are essential to supporting the data movement AI demands, and legacy architectures are no longer up to the task.

To set organisations up for success with AI, they need a unified, intelligent connectivity layer, built for long-term sustainability, that supports:

  • SD-WAN and SASE architectures for secure, flexible access
  • Private 5G for high-performance, localised connectivity
  • Real-time observability across network performance and usage
  • Automation to reduce operational overhead and improve resilience

As network-preferred partners, our expertise in Cisco technology, coupled with our ability to manage services through a lifecycle approach, enables Logicalis to build AI-ready digital foundations for organisations free from fragmentation.

AI demands rethinking your security

Wherever AI goes, an increased risk to cyber defences follows. Unregulated tool usage and an extended attack surface are just a few of the sophisticated threats organisations face daily, underscoring the need for a more effective, secure by design model that offers:

  • An environment embedded with identity and access controls
  • Threat detection is continuous and intelligence-led
  • Policies are enforced consistently across users, devices and applications

As security preferred partners, Logicalis' global SOC capabilities provide organisations with continuous visibility, proactive threat detection, and the operational support needed to manage increasingly complex threat landscapes.

Translating potential into performance

The biggest challenge for CIOs this year, and likely heading into the next, will be proving what AI actually delivers to the business. A shift in the way organisations approach AI is the only way CIOs and IT leaders can do that, but they can't do it alone.

For over 25 years, Logicalis have been working with Cisco to help businesses navigate their digital transformation journeys. As one of the very few Global partners, preferred across all five architectures, we are committed to helping our customers realise the true potential of their technology.

Read more about our partnership with Cisco here!
 

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