Case Study 4
Redefining Operational Unity:
AI-optimized Operations for a Leading Testing, Inspection,
and Certification Provider

Streamlining core systems to drive

agility, scale, and precision

Opportunity

Architecture, Engineering, and Construction (AEC) companies often grapple with project complexities that demand meticulous resource management across diverse domains. A recurring challenge lies in uncoordinated workflows, fragmented data systems, and scalability limitations, leading to operational inefficiencies and delays in project milestones. These challenges emphasize the need for solutions powered by AI to modernize and optimize operations, both in the field and within core support functions.

Solution

A leading testing, inspection, and certification company adopted Infosys AI-powered solutions—including self-service capabilities and automation—to streamline operations and enhance project outcomes. The following approaches were strategically employed to achieve this transformation:

AI-powered monitoring dashboards
Deployed advanced AI-driven dashboards for real-time project insights and streamlined performance tracking across project milestones.

Automated resource management
Integrated AI tools to track and allocate materials, resources, and workforce dynamically, reducing waste and bottlenecks.

Predictive analytics tools
Enabled proactive issue resolution by leveraging data analytics to predict potential risks and delays.

Cloud-integrated operations
Supported scalability and seamless collaboration by utilizing Infosys Polycloud solutions to connect operational units on a unified platform.

Enhanced data synchronization
Implemented generative AI for unifying distributed data systems into a single source of truth, improving decision-making accuracy.

By deploying these solutions, the company set the foundation for AI-enabled transformation across its projects.

Outcomes

The deployment of AI solutions significantly impacted project operations, delivering measurable results:

Boosted operational efficiency
AI automation reduced manual workflows, enabling faster project execution and milestone approvals.

Improved project visibility
Real-time monitoring empowered project managers with actionable insights, ensuring smoother progress tracking and risk mitigation.

Enhanced resource utilization
AI-driven resource allocation minimized wastage and improved efficiency in workforce and material management.

Key Learning

Leveraging AI allowed the company to synchronize fragmented systems and optimize resource usage, welding together unified workflows and scalable operations — leading to improved efficiency across project delivery and better decisions based on data-driven insights.