netOps.ai Enterprise Network Service Delivery Platform

Accelerating Enterprise Networks through AI

netOps.ai for Enterprise is our cutting-edge service delivery platform that leverages AI to design, deploy, and manage enterprise network services across network, security, cloud, and edge environments. It seamlessly integrates existing tools into a unified control layer, leveraging APIs and service catalogs to automate provisioning. Additionally, it utilizes AI to monitor, detect, and resolve issues effectively.More

netOps.ai for Enterprise is our cutting-edge service delivery platform that leverages AI to design, deploy, and manage enterprise network services across network, security, cloud, and edge environments. It seamlessly integrates existing tools into a unified control layer, leveraging APIs and service catalogs to automate provisioning. Additionally, it utilizes AI to monitor, detect, and resolve issues effectively. This platform empowers outcome-driven managed network services across different models, managed, co-managed, and as-a-service, and links network performance directly to tangible business results.

  • Decrease in mean time to resolution (MTTR) from 6 to 12 hours to < 30 min (normalized to 80% of incidents)
  • Provisioning speed improvement: from 15 to 45 days to < 24 hours
  • Automation coverage from < 20% to >80% across network lifecycle
  • Decrease in M&A/network integration from 9 months to ~60 days 
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Key Features

Unified Enterprise Operations Layer

Brings network, security, cloud, and edge operations into a single control layer. Aggregates telemetry from existing tools and vendors, providing real-time visibility and control without switching systems. Eliminates tool sprawl and enables consistent operations across complex multi-vendor environments.

Converged Network and Security Operations

Combines NOC and SOC workflows into a single operational model. Correlates events across domains using shared telemetry, enabling teams to detect, prioritize, and resolve issues faster while improving governance and reducing operational friction across separate NOC/ SOC silos.

AI-driven Observability and Automation

Uses AI to monitor network behavior, detect anomalies, identify root cause, and trigger closed-loop remediation across operational workflows. Combines continuous observability with closed-loop automation to improve service reliability, reduce manual intervention and effort, and enable consistent autonomous operations at scale.

Service or Experience-Led Assurance (SLA/XLA)

Links network performance to user experience and business outcomes through application-aware monitoring, digital experience metrics, and service quality insights. Moves enterprises beyond uptime SLAs toward measurable accountability for experience and outcomes.

Flexible Service Delivery Models

Supports managed, co-managed, and as-a-service operating models through self-service catalogs, consumption-based delivery, and role-based access. Allows enterprises to control how services are delivered while aligning operations with enterprise maturity, governance preferences, business needs, and consumption patterns.

Open Integration and Low-Risk Transformation

Integrates with multi-vendor tools such as ServiceNow, cloud platforms, and security ecosystems through open APIs and adapter-based connectivity. Deploys as a non-disruptive overlay, enabling phased transformation from visibility to automation and autonomy without replacing existing investments or rip-and-replace disruption

Solution Benefits

  • Enhances user experience and visibility with a unified approach to monitoring across networks and applications, allowing 95% faster issue detection and providing real-time performance insights.
  • Minimizes MTTR and operational workload through AI-powered correlation and automation, slashing resolution time by 80% from 6–12 hours down to under 30 minutes.
  • Tackles tool sprawl and silos by bringing together WAN, LAN, cloud, security, and edge operations, leading to a reduction of 60% operational overhead.
  • Speed up onboarding and expansion with quick provisioning and automation, making it possible to roll out new sites in less than 24 hours (that's 95% faster) and integrate mergers and acquisitions in under 60 days (70% faster).
  • Aligns operations with business goals using XLA-driven assurance and consumption models, boosting service consistency by 30% and improving cost efficiency by 40%.
  • Enhance security and compliance through unified operations and automated governance, cutting risk exposure by 70% and reducing audit efforts by 80%.
  • Promotes flexible operations and sustainability with AI-driven optimization, halving energy consumption while supporting managed and as-a-service models.

Industry Use Cases

Transforming Global WAN

No more old, fragmented MPLS and legacy WAN setups. Our AI-driven delivery platform can seamlessly switch to SD-WAN and SASE. Thus, bringing connectivity, policy, assurance, and security into a single streamlined control layer ensures secure, scalable connectivity worldwide.

Streamlining Campus and Branch Operations

Transform LAN, WLAN, branch, and edge operations with unified visibility, zero-touch onboarding, and policy-based assurance, meaning quicker site rollouts, standardized operations, and consistent service quality across all enterprise locations without the hassle of adding more tools to your toolkit.

Quick M&A Integration

Accelerate the stabilization of the network after a merger by automating site onboarding, policy alignment, and service lifecycle management across newly acquired environments. This helps businesses transition from a patchwork of inherited systems to a cohesive operational model in just weeks, not months.

Converged Secure Networking

Experience a unified approach to network and security operations across WAN, SASE, cloud, and edge. By correlating shared telemetry, consistently enforcing policies, and automating responses across domains, an organization can enhance resilience while minimizing the operational headaches of managing separate network and security systems.

Enterprise NaaS Delivery

This approach enables managed, co-managed, and as-a-service network consumption through user-friendly self-service catalogs, automated provisioning, and delivery models aligned with actual usage. It empowers businesses to scale their services more quickly, match their spending to demand, and move away from the constraints of traditional, hardware-focused network economics.

AI Infrastructure Enablement

This enables quick, reliable connectivity across both cloud and edge environments, which is essential for supporting enterprise AI workloads, data pipelines, and distributed inference. It broadens network operations beyond mere connectivity, providing the necessary infrastructure support for AI without disrupting existing enterprise service models.

Why netops.ai- Enterprise?

Outcomes Over Uptime

This approach aligns service delivery with key business outcomes like user experience, productivity, resilience, compliance, and the ability to adapt quickly, moving past the old-school SLA-driven managed services models.

One Control Layer

It brings together network, security, cloud, and edge into a single service delivery layer, reducing tool overload and enabling quicker, cross-domain decisions in complex enterprise settings.

AI that Acts

We’re embedding AI directly into operations rather than only dashboards, enabling real-time correlation, automation, and remediation to improve service quality and speed up responses across distributed networks.

Operate your Way

This model supports managed, co-managed, and as-a-service options, giving businesses the flexibility to maintain control when necessary while scaling operations in response to demand.

Transform Without Disruption

It can be deployed as a non-disruptive overlay on existing tools and environments, integrating smoothly without expensive rip-and-replace transformations.

Telecom Scale Discipline

This applies carrier-grade operational rigor, automation, and resilience patterns to enterprise environments, ensuring consistent performance across complex, global networks.

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