In today’s hyper-competitive AEC landscape, responding to Requests for Proposals (RFPs) manually is like building a bridge one brick at a time—painstakingly slow and full of risk. For a national engineering and consulting firm on the East Coast, every delayed or missed RFP directly impacts revenue, pipeline momentum, and market positioning.
When response speed becomes a limiting factor, growth depends on how quickly teams can create, tailor, and submit high-quality proposals at scale–something that can be improved with artificial intelligence. According to McKinsey, AI could unlock between $2.6 trillion and $4.4 trillion in annual value globally by improving productivity and effectiveness across functions.
For RFP-driven organizations, that value shows up in the ability to respond faster, scale proposal capacity, and compete more effectively without increasing manual effort.
To address these challenges, this AEC firm partnered with CloudMoyo to infuse generative AI into its RFP workflow. Powered by Azure OpenAI, the new approach accelerated content creation, improved accuracy, and ensured every response reflected the company’s true capabilities and experience—backed by the right context, visuals, and data.
The results? Faster turnaround, reduced manual effort, and a stronger competitive edge in a crowded market.
Ready to see how AI transformed their RFP process from a bottleneck into a growth engine? Download the full case study.
