Case Study · Professional Services
RFP compliance grids in five minutes, not days
Top federal government staffing company · Grid Captain
At a glance
Client snapshot
The challenge
Finding the right candidate for government RFPs and writing up complex compliance matrix responses was extremely tedious. The goal of Grid Captain was to optimize RFP response times by automating resume-to-RFP requirement matching.
The story
01 · Where they started
Days of manual work for every RFP
Responding to RFPs and finding suitable candidates was an extremely manual process. Each compliance grid took days of effort, and the candidate put forward was not always the best match.
02 · What was at stake
Points left on the table
Government RFPs are scored on mandatory and rated requirements. Moving to ChatGPT cut each grid to around 20 minutes, but the back-and-forth prompting remained, and a weaker candidate match still meant fewer points and fewer wins.
03 · What Taiga AI did
An agent built around the RFP process
Taiga AI delivered Grid Captain, an agent that analyzes government RFP documents to extract mandatory and rated resource requirements, finds the best-fit candidate across dozens of resumes to maximize points, and generates a detailed compliance matrix with evidence. It works for simple and complicated multi-resource RFPs.
04 · What changed
Minutes per grid, and the best candidate every time
The new process takes minutes and always puts the best candidate forward, which increases RFP wins.
“This used to take days of effort, and then we moved to ChatGPT. That reduced it to around 20 minutes a grid because of all the back and forth prompting. Now with Grid Captain, it's 5 minutes or under.”
Senior Proposals Manager, Top federal government staffing company
Results in detail
Faster than the original manual process, which took days per compliance grid.
Faster than prompting ChatGPT, which took around 20 minutes per grid.
The best candidate is put forward every time, with a compliance matrix backed by evidence.
Microsoft 365 Copilot