AI Training Delivers 4–7 Hours Weekly Time Savings for Project Managers + Engineering Design Teams

Boosting Productivity by Up to 50% Across Project Teams

Q1/Q2 2025

Industry: Data Centre Engineering

Key Outcomes

⏱

4–7 hours saved weekly per project manager

📉

Productivity improvements of up to 50%

🔎

90% reduction in time spent on research tasks

👥

Internal AI champions created to support wider adoption

"Tasks that once took hours now take minutes. I’m saving around four hours a week and expect that to grow as I build confidence with the tools."

Introduction

Building Competitive Advantage with AI

A leading data centre engineering company, operating across multiple EMEA countries, recognised the opportunity to stay ahead in a fast-moving sector by embedding AI skills across its teams. Instead of waiting for competitors, they chose to upskill their staff early, beginning with a pilot programme in 2024 and then rolled out to project managers and engineers.

The results were immediate: hours reclaimed each week, measurable productivity gains, and a stronger culture of innovation inside the business.

The Challenge

High-Value Engineers Buried in Admin

Project managers and design teams in the built environment handle complex, high-stakes projects. Yet too much of their week was consumed by:

Manual documentation and repetitive report writing
Time-intensive research and data gathering
Meeting notes and follow-ups that slowed delivery
Drafting communications for diverse stakeholders

Across a team, this meant the equivalent of several full-time roles were lost to low-value tasks - time that could instead be spent on design, coordination, and strategy.

The Solution

Practical AI Training for Project Managers

Rather than introducing new systems or disrupting existing workflows, the AI Institute delivered hands-on training tailored to specific project management and engineering design tasks.

Focus areas included:

Report Writing & Communications – generative AI for drafting and quality verification processes
Technical Research – faster answers through AI-driven search and synthesis
Meeting Documentation – automated transcription and action item extraction
Visual Communication – AI-assisted diagram creation and presentation development

Impact: Tasks that previously took hours could now be completed in minutes, freeing engineers and project managers to focus on strategic, client-facing work.

The Results

Measurable Gains from Day One

4–7 hours saved per person weekly (measured across the team)
90% reduction in research time (2–3 hours cut to 10–20 minutes)
In addition to productivity gains, 43% said they could do more strategic thinking
100% tool adoption and innovation across the team

Time Savings (validated through participant feedback analysis)

Business Benefits:

Cost savings from greater efficiency
Faster delivery and clearer communication with clients
Improved work-life balance through reduced admin load

What Participants Said

On Time Savings

"Tasks that once took hours now take minutes. I’m saving around four hours a week and expect that to grow as I build confidence with the tools."

On Quality

"The AI training helps me check the quality of emails and reports quickly. Outputs are clearer, visuals more effective, and communications smoother."

On Team Culture

"The training encouraged us to experiment together. It created a positive, collaborative atmosphere and sparked knowledge sharing across the group."

On Strategic Impact

"AI is enabling our junior roles to cover more ground and giving senior staff more time for client and project strategy."

Why This Approach Worked

Practical, role-specific training tied directly to daily work
Immediate application with visible results from day one
Peer learning and team support during adoption
Measurable outcomes tracked across the pilot team

Looking Ahead: Scaling Across the Organisation

On the back of this project’s success, the company is now:

Rolling training out to additional teams and departments
Developing advanced modules for specialist engineering roles
Building an internal network of AI champions

Engineering and data centre teams that adopt AI early are gaining measurable competitive advantage. This case study shows that even without large system changes, practical AI training delivers immediate ROI and long-term benefits.

📩 Book a discovery call to see how much time your engineering team could save.

More case studies

156,600 hours saved annually

equal to 83 full-time staff or €4.98 million in value for a mid-sized engineering firm.

View Case Study

“Helps me with the work that drains me. Frees me to think outside the box and really use the power of AI.”

Director, Global Engineering Firm