Point of View | Technology | Infrastructure and Cloud and Security

Reimagining enterprise networks with NaaS

From fragmented legacy infrastructure to a policy-driven, AI-monitored network backbone built for what the business demands next.

Download as PDF 20th June, 2025
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The enterprise network used to be invisible. Today it's the thing standing between your business and every transformation goal you've set for the next three years.

Laying out the blueprint:

  • Why the network is now a frontline strategic asset, not back-office plumbing
  • How a layered NaaS model separates foundation-building from acceleration
  • The operational and financial outcomes two global enterprises achieved with us
  • Where AI, edge, and zero-trust architecture fit into a coherent network strategy
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The heavy cost of ignoring structural network problems

Ask any enterprise technology leader what’s slowing digital transformation and they’ll name the usual suspects: talent gaps, budget cycles, legacy applications. But push a little harder and a different answer surfaces: the network. Not because it fails dramatically, but because it fails quietly. Policies applied inconsistently across sites. Provisioning queues that take weeks. Security tooling bolted on rather than built in. Operational silos that mean no single team owns the full picture. These aren’t exotic problems. They’re structural ones, and no amount of cloud investment resolves them if the network underneath can’t keep pace.

What’s changed is the cost of ignoring this. When AI-driven services, real-time analytics, and hybrid workforce models depend on network performance, a fragmented architecture doesn’t just slow IT down. It limits what the business can actually do.

A model built in layers, not monoliths

One reason network transformation projects stall is that organizations try to fix everything at once. Our approach disagrees with that instinct. The layered network service model separates two distinct challenges: getting the foundation right, then accelerating on top of it. The foundation layer covers the unglamorous but essential work: end-to-end SD-WAN design across complex environments, zero-trust security frameworks, automated provisioning and policy enforcement, and AIOps-based monitoring that surfaces real-time health signals before problems compound. Only once that foundation is solid does the acceleration layer make sense.

That’s where network resiliency engineering through NaaS operating models comes in, alongside modular components for rapid edge deployments, observability and governance-as-code practices, and security embedded directly into the network fabric rather than applied as an afterthought. The sequencing matters. Trying to run at the acceleration layer without a stable foundation is where most transformation programs accumulate technical debt they spend years unwinding.

What effective partnership looks like in practice

The word ‘partner’ gets used loosely in technology services. We earn it through integrated delivery models that combine cloud, operations, and network strategy into a single motion rather than three separate engagements.

For enterprises, that means transformation pods that can actually execute: joint go-to-market models that reduce adoption friction, rapid deployment capabilities calibrated to real demand shifts, and network provisioning aligned with broader transformation programs already underway.

For technology providers and channel partners, it means co-sell models designed around recurring revenue growth and expanded solution scope. Combining NaaS with capabilities in edge, IoT, cloud, and AI creates full-stack offerings that increase average deal size and deepen customer engagement over time. Neither of these is a theoretical benefit. The case for us as a network transformation partner sits in the numbers, and two of those numbers are worth spending time on.

The business results of network transformation done right

A global financial services firm came to us carrying a fragmented network infrastructure spanning 480-plus corporate offices and 4,800 banking centers. Scalability, operational cost, and security consistency were all under pressure. We implemented a fully automated, policy-driven network model using Ansible, Python, and Tufin. The outcome: a 40% reduction in annual total cost of ownership, a 25% reduction in workforce cost through automation, and more than 7,000 successful changes processed monthly with zero downtime.

A leading US multinational telecom wanted a future-ready Virtual Network Services Platform built for customer self-service and operational efficiency. We co-created the industry-first platform, introduced intuitive design tooling for engineers, and enabled vendor-agnostic license automation alongside network health monitoring. The result was a 60% reduction in provisioning fallout and over 17,000 real-time self-service activations across IP, Ethernet, and cloud services. Zero-touch provisioning eliminated a significant volume of manual errors.

These aren’t edge cases. They’re what happens when the foundation is right and the acceleration layer has somewhere solid to stand.

The strategic takeaway:

  • The network is now a transformation dependency, and legacy architecture creates compounding constraints that cloud investment alone won’t resolve.
  • Separating foundation work from acceleration work prevents the technical debt accumulation that kills most network transformation programs midway.
  • Automation and AIOps aren’t aspirational additions to a network strategy; they’re the mechanism by which operational cost and manual overhead come down at scale.
  • A 40% TCO reduction and 60% provisioning fallout improvement aren’t projections. They’re outcomes we have already delivered for enterprises operating at global scale.

 

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