Success Story

The client is a leading managed IT services provider specializing in cloud, infrastructure, and workplace technology solutions. They help businesses modernize IT operations through communications and document management.

The client aimed to modernize IT health assessment and contract analysis by improving visibility, accelerating decision-making, and enabling intelligent recommendations. To achieve these goals, the client had the following requirements:

• A centralized approach to consolidate fragmented IT health data, reports, and survey inputs into a unified, executive-ready view.
• Real-time insights and actionable recommendations to identify security enhancements, compliance improvements, and cost optimization during assessments.
• A streamlined approach for renewal and contract analysis by unifying contract, licensing, and usage data to identify cost optimization opportunities.
• Faster assessment report generation to reduce time-intensive manual reporting, deliver consistent executive-ready summaries, and provide deeper security and compliance insights.
• A scalable approach to IT assessments that minimizes reporting bottlenecks, supports increasing assessment volumes, and maintains report quality.

Cybage delivered an AI-powered assessment framework on Azure AI Foundry. The framework automated IT health analysis, accelerated decision-making, and improved contract optimization. The engagement also included the following components:

• Developed AI Summary Agents using Azure AI Foundry to consolidate multi-source data (Graph APIs,  surveys, reports) and generate executive-ready IT health insights using RAG and LLMs.
• Implemented ACE (Autonomous Control Engine) to orchestrate AI agents, enabling scalable, parallel IT assessment execution.
• Proposed AI Recommendation Agents in Foundry to deliver contextual and real-time guidance on security, compliance, and licensing.
• Proposed a Foundry-based agent architecture that integrates APIs, contract data, and historical insights to enable data-driven renewal strategies.
• Built AI-driven visualizations to generate intuitive representations, including capability matrices and risk heat maps, to simplify complex assessment data and improve stakeholder understanding.
• Utilized multiple AI agents collaboratively to highlight critical security findings and recommend next steps, turning data into actionable intelligence and graphical representations.
• Implemented agent observability features to monitor agent workflows, execution traces, and performance, ensuring transparency and operational reliability.

• Achieved ~99.99% reduction in assessment turnaround time, enabling near real-time IT health insights.
• Implemented 100% automated workflows, eliminating manual data compilation and analysis.
• Enhanced security and compliance readiness through continuous risk identification and mitigation.
• Improved contract renewal decisions and supported revenue growth by identifying cost optimization opportunities.
• Transitioned from analyst-driven assessments to a scalable automated assessment model, enhancing assessment coverage and operational efficiency.