Case Study 1
Engineering Smarter Operations:
AI-powered Systems for a Leading U.S. Firm

Streamlining core systems to drive agility, scale,

and precision

Opportunity

Architecture, Engineering, and Construction (AEC) companies face complex challenges in managing resources across projects. One major issue is unbilled revenue caused by inefficient manual invoicing processes, delayed project milestones, and disjointed systems. These breakdowns lead to revenue leakage, directly impacting profit margins and cash flow stability.

Solution

To tackle these inefficiencies, a leading American engineering company turned to AI-powered solutions for enhanced financial and operational processes. Leveraging advanced AI and ML, they implemented the following approaches to reduce revenue losses across their projects:

AI monitoring and reporting
Automated unbilled revenue tracking with generative AI, delivering monthly reports for data-driven financial visibility.

Automated billing systems
Implemented AI-driven invoicing tools to minimize manual errors, speed up billing cycles, and ensure accuracy in cash-flow updates.

Integrated processes
Connected time-tracking, project management, and billing systems to enable a seamless flow of data, enhancing cross-functional coordination.

Forecasting tool
Enabled unbilled revenue and cash-flow analysis with predictive insights, empowering leadership to act proactively.

By addressing key operational inefficiencies, the company took steps to transform its revenue management processes.

Outcomes

The implementation of AI-driven improvements yielded significant results:

Reduction in unbilled revenue
AI-powered monitoring and billing systems brought a measurable decrease in unbilled revenue, ensuring faster cash realization.

Improved project visibility
Real-time reports allowed project and contract managers to track progress and financials with ease, and quicker identification of delays and billing issues.

Enhanced operational efficiency
Integrating systems streamlined processes across departments like billing and project management, led to faster milestone approvals and reduced delays.

Key Learning

By addressing critical process roadblocks, AI and ML technologies reengineered revenue management for the organization. Their ability to automate monitoring, improve billing accuracy, and integrate workflows enabled faster cash realization and more proactive financial oversight.