eBook | Telecommunications | AI and Data Engineering

Six ways to modernize networks for an AI-first era

ADAM (our enterprise AI platform) powers network practices for enterprises, driving resilience, agility, and intelligent operations at enterprise scale

Download as PDF 19th June, 2026
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As enterprise environments grow more distributed and AI-intensive, the network must evolve from background infrastructure into an intelligent business enabler. Our ADAM-powered network practice delivers this shift through end-to-end capabilities spanning advisory, transformation, and operations.

The enterprise network modernization imperative

  • Enterprise networks face growing pressure to deliver secure access, cloud-native connectivity, and edge-ready operations across increasingly distributed environments.
  • Five connected capabilities spanning advisory, managed services, transformation, operations, and governance form the foundation for cohesive network modernization.
  • Six Agentic Data and Application Management (ADAM)-powered solution areas address both the structural modernization of the network and the operating model needed to sustain it.
  • AI-led operations accelerate resolution times, reduce total cost of ownership, and shift enterprises from reactive to resilient network models.

The forces reshaping the enterprise network landscape

AI is driving transformation across the network industry, reshaping how enterprises think about connectivity, security, and performance. As demand grows for secure access, WAN and edge modernization, and software-defined data center and cloud environments, organizations need network models that are more automated, scalable, and easier to manage. The network industry is being reshaped by a new set of enterprise requirements: secure access from anywhere, cloud-native connectivity across environments, high-performance collaboration, and the flexibility to support edge locations and distributed operations. At the same time, enterprises must modernize data center and cloud networking while keeping security, compliance, and service continuity intact. Several trends are accelerating this change. Enterprises are moving toward Zero Trust and identity-based access, modernizing SD-access and LAN environments, and expanding Wi-Fi-first strategies to support dense, dynamic workplaces. WAN architectures are also evolving, with greater adoption of SD-WAN, SASE, and hybrid connectivity models.

From fragmented estates to intelligent, future-ready environments

We approach network transformation as an end-to-end capability, not a narrow infrastructure service. The network practice is built to support clients across strategy, execution, operations, and governance, helping them move from fragmented network estates to intelligent, future-ready environments. At the core of this approach are five connected capabilities: design, consulting, and advisory to align network architecture with business goals and future-state technology priorities; managed network services spanning LAN, WAN, Wi-Fi, data center, and cloud connectivity; network transformation through automation, cloud-first architecture, and security-led upgrades; a 24×7 network operations center for proactive monitoring and service assurance powered by self-heal, self-help, and AI-led platforms; and service management and governance grounded in ITIL-based processes. This model gives enterprises a more structured and repeatable path to modernization. Rather than treating network initiatives as isolated workstreams, we bring them together into a cohesive transformation agenda designed to improve resilience, reduce complexity, and accelerate execution.

Six solution areas powered by ADAM

Our network service offerings are increasingly shaped by AI and automation through ADAM, bringing greater intelligence and consistency into both transformation and operations. This allows the network to evolve from a manually managed infrastructure layer into a more adaptive, scalable, and resilient operating environment. The portfolio spans six key solution areas:

  1. AI-driven network transformation using a factory-based model powered by GenAI for industrialized large-scale modernization.
  2. Intelligent WAN and SASE through a provider-agnostic approach spanning strategy, architecture, and ongoing management.
  3. Wi-Fi-first environments with cloud-native WLAN and zero-touch provisioning.
  4. Branch in a Box for simplified branch modernization with pre-validated designs.
  5. Software-defined data center and cloud for programmable, policy-driven infrastructure across hybrid and multi-cloud environments.
  6. AI-led network operations with self-healing automation and unified visibility.

Operational tooling that powers execution at scale

Strong strategy and service design are effective only when backed by the right operational tooling. Our experience across the network technology stack reflects that execution focus, helping clients move from fragmented operations to a more integrated and scalable network model. The capabilities cover the core layers required to monitor, manage, secure, and optimize modern network environments: 24×7 network monitoring for device health, performance, and availability; event correlation and AIOps to reduce operational noise and accelerate root-cause analysis; configuration and compliance management for automated backup, compliance checks, and drift detection; network discovery and inventory to auto-discover devices and map topology; log management and security visibility; SD-WAN and WAN optimization for centralized management across distributed environments; and automation and orchestration to accelerate zero-touch provisioning and network change execution.

What else is covered in the PDF?

The full eBook includes four detailed case studies demonstrating measurable outcomes across industries: modernizing global network infrastructure and security for a large industrial enterprise, stabilizing and standardizing network operations for a fast-growing logistics company, transforming lifecycle management for a global financial services institution, and accelerating provisioning and service efficiency for a telecommunications leader. It also closes with a strategic perspective on moving from network complexity to intelligent operations, outlining why technology refresh alone is insufficient and what a future-ready network truly requires.

Outcomes from past client network transformations

80%

Reduction in service outages

60%

Savings on TCO costs annually

65%

Reduction in vulnerabilities

60%

Reduction in provisioning fallout

Where network leaders need to act now

  • Treat the network as a strategic business enabler, not background infrastructure, and align modernization with broader digital transformation goals.
  • Shift from fragmented, vendor-locked network estates to cohesive, end-to-end capability models that unify strategy, execution, operations, and governance.
  • Embed AI and automation into network operations to accelerate mean time to resolution, reduce TCO, and improve service assurance.
  • Prioritize a partner with deep network engineering expertise, scalable service models, and a practical approach to governance and execution.
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