Civil engineering firm reduces RFP response time by one hundred fifty percent

In the competitive world of civil engineering consulting, RFP responses are resource-intensive and time-critical. RHC Engineering faced slow, manual processes that limited efficiency, increased errors, and constrained their ability to pursue new opportunities.

Teams spent 8-10 weeks manually extracting RFP requirements, shortlisting resumes, and aligning past projects. Limited qualified engineers led to frequent mismatches in personnel selection, while inconsistent risk analysis caused missed opportunities or overcommitment.

Yearling AI built an AI-driven multi-agent system that automates personnel matching, risk analysis, and document synthesis while keeping subject matter experts in the loop for final decisions and quality control.

The system uses an ensemble of GPT-4, Claude 3, and Gemini for consensus-based outputs, combined with LanceDB vector database for fast RAG retrieval. Pydantic-AI workflows maintain memory retention across the RFP response process.

By integrating AI agents into their RFP workflows, RHC Engineering transformed from a labor-intensive consultancy to a data-driven industry leader. The solution reduced response time by 150% while improving proposal quality and enabling pursuit of significantly more projects.