Problem Statement

As a Broadcom NetOps customer supporting over 100 clients, the company needed to go beyond basic fault detection and achieve true situational awareness across its entire environment. While NetOps delivered excellent and detailed insight into device-level events, the customer wanted more contextualized intelligence across all events, uncover patterns, recommend optimizations, and highlight emerging business risks. The company also wanted a way to leverage an agentic workforce model to gain a competitive edge, one that could synthesize vast volumes of telemetry across disparate monitoring domains and inform their decisions with insight, not just information.

Proposed Solution and Architecture

The company partnered with A&I Solutions to embed Scout-itAI as an intelligent AI layer across its Broadcom observability stack. With a five-year commitment to the platform, the company is using Scout-itAI in two key ways:

• Internally: to deliver clearer visibility, faster decisions, and more efficient operations across the service landscape.
• Externally: with plans to offer Scout-itAI as a value-added service, extending AI observability to hundreds of managed environments.

Scout-itAI integrates seamlessly with the company’s Broadcom tools. Key components include:

• DX NetOps delivers deep fault and performance visibility across client networks.
• AppNeta: expands monitoring into hybrid WAN environments.
• Scout-itAI unifies and interprets telemetry through generative AI, providing natural-language insights, surfacing patterns, and enabling contextual decision-making across diverse client infrastructures.

Outcomes and Success Highlights

Although adoption is still early, the company has already seen meaningful wins with Scout-itAI’s AI-native model.

• The CTO tested Scout-itAI’s Agentic architecture by asking real operational questions and was impressed by the quality and depth of the insights.
• Those results accelerated the rollout of Scout-itAI and AppNeta to more sites and led to additional monitoring points.
• Cross-domain analysis and clear context are setting the stage for smarter service delivery and proactive issue resolution at scale.

As the company continues to deploy Scout-itAI, it’s building an AI-driven MSP operating model, helping teams think and act faster with unified insight across customers, tools, and technologies.

TCO Considerations

A formal TCO analysis is forthcoming, but the company already expects significant operational value from:

• Consolidated analysis across all monitored domains, reducing tool fragmentation and manual correlation.
• Enhanced decision support that speeds incident detection and enables proactive management.
• Scalable insight delivery that strengthens both internal operations and client-facing services.

Lessons Learned

• Early experimentation with Scout-itAI’s Agentic model delivered clear value and helped fast-track the rollout.
• Global context and AI-driven analysis are key differentiators compared to traditional monitoring tools.
• The company is well-positioned to extend Scout-itAI to its customers, creating a new value stream that blends service delivery with intelligent observability.

With Scout-itAI, the company isn’t just monitoring networks; it’s reimagining how AI can elevate MSP performance, insight, and scale.