Here is something I want to try in this community. For the next 30 days, I want every member to make one specific change to their proposal process, track the result, and report back here. It does not have to be dramatic. In fact, smaller changes often produce bigger results because they actually get implemented. Some ideas to get you started: - Build your compliance matrix before you write instead of after - Use AI to generate your first draft of the firm overview section and track how long it saves - Run your next RFP through a Go/No-Go scorecard before committing - Rewrite one project narrative using the Problem/Approach/Outcome/Parallel structure and compare evaluator feedback - Set a submission time of 2 hours before deadline instead of 2 minutes and see what changes Pick one. Do it for 30 days. Come back and tell us what happened. I will go first. This month I am testing AI-generated compliance matrices on every single RFP that comes through our platform and tracking how many requirements human review catches that the AI missed. I will post the results here at the 30 days from now. Who is in? Reply with the one change you are committing to this month. I will check in with everyone at the end of the 30 days.

I want to get a real conversation going here, not a highlights reel. We hear a lot about what AI is supposed to do for proposals. I want to know what it has actually done for yours, good and bad. I will start. Where it has genuinely helped us: - Compliance matrix generation from RFP documents saves 2 to 4 hours per proposal - First draft generation for boilerplate sections like firm overview and management approach cuts writing time significantly when given good source material - Rewriting for page limits: paste in a 600-word section with a 300-word limit and AI does a solid job Where it has fallen short: - Anything requiring real agency-specific context. AI does not know that this particular county program officer cares deeply about local subcontractor participation. - Technical approach sections without strong human input. The drafts are generic and evaluators can tell. - Anything where the firm's voice and differentiation needs to come through. AI writes average. Winning proposals are not average. - Net verdict: AI as an accelerant is real. AI as a proposal writer is marketing. What has your experience been? Drop your honest take below. No judgment here, just real data from real teams.

Let’s have a little fun. Tell us where you’re tuning in from! Bonus points if you share your favorite local coffee shop or workspace. I’ll go first: I’m in Colorado, and my favorite spot is my patio in the summer!! And my hot tub in the winter! Your turn ⬇️