University College London and SRC Infrastructure Limited KTP 23_24 R6

A professional services firm is building an artificial intelligence system to take over the grunt work of managing projects and finding new clients. SRC, the company involved, handles complex infrastructure and engineering projects. Currently, much of the operational work—tracking progress, allocating staff, identifying sales leads—relies on manual effort and human judgment. This is slow, inconsistent, and scales poorly as the firm grows. The project aims to create an AI tool that can learn from the company’s own project data and automate these tasks, freeing up skilled professionals to focus on higher-value decisions. If successful, the AI could streamline how a professional services firm runs its internal operations. This matters because firms like SRC are the invisible backbone of major infrastructure projects—roads, rail, energy grids—where delays and inefficiencies in project management can ripple out to cost taxpayers and slow down construction. A smarter, faster operational system could mean projects finish on time and on budget, without requiring more people to manage them. The immediate impact is on the firm’s bottom line and efficiency, but the knock-on effect is on the infrastructure projects that depend on firms like SRC to run smoothly.