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Are You Ready for AI to Score Your Proposal?

Updated: 5 days ago


How to win in an evaluation process where a machine goes first


Let's talk about something that's already happening and almost nobody is disclosing in their Request for Proposals: AI-assisted evaluation.


Procurement teams are overwhelmed. They always have been. But now some of them have a new option. Feed all the proposals into a tool, let it score for compliance, flag gaps, surface differentiators, rank by criteria weight. A human still makes the final call, usually, but the shortlist the human sees? That's increasingly shaped by a bot that doesn't have a relationship with any vendor, and doesn't care how good your cover letter felt.


This changes how you should write. But probably not in the direction you'd expect.


The instinct when you hear "AI is evaluating this" is to optimize for the machine. Hit every keyword. Structure everything as a clean numbered list. Make sure every evaluation criterion appears verbatim in your response. And yes, some of that matters. But writers who only do that are going to produce proposals that score fine and win nothing, because they've forgotten the part where a human still has to choose.


Here's the actual strategy. Be a perfect machine read AND a compelling human read. In that order.


Start with compliance. Map every evaluation criterion explicitly. If the RFP lists "demonstrated experience with energy performance contracting in K-12 school districts" as a scored criterion, those words need to appear in your response, connected to a specific project with a specific outcome. AI evaluators are often doing semantic matching, not just keyword counting, but don't make them work for it. Make it obvious. Label your sections to mirror the criteria structure. Use the RFP's own language before you use yours.


Then layer in everything that matters to a human reader: the narrative, the specificity, the risk acknowledgment, the relationship signals. These won't necessarily be picked up by the ranking tool. But they'll be what tips the decision when two proposals are sitting side by side at a finalist meeting and someone has to choose.


A few things that travel well through AI evaluation:


  1. Specificity over adjectives. "We reduced energy costs by 23% at a 1,200-student district in a climate zone similar to yours" scores better than "we have extensive experience delivering exceptional results." One is verifiable. One is noise.

  2. Structure that mirrors the ask. If the RFP has five evaluation criteria and your proposal has five corresponding sections with clear headers, an AI evaluator doesn't have to work to find your answers. Neither does an overworked procurement officer skimming docs at 9pm.

  3. Outcome language. AI evaluation tools trained on procurement data tend to weight results over capabilities. "Reduced operating costs," "achieved substantial completion 30 days ahead of schedule," "increased system uptime," these are the phrases that tend to land well, because they reflect what evaluation criteria are actually measuring for.


What doesn't travel well through AI evaluation:


  1. Vague expertise claims. "World-class team." "Industry-leading approach." "Comprehensive solution." These phrases exist in every proposal. They contribute nothing to differentiation, and they don't score.

  2. Buried compliance. If your relevant experience is in an appendix and your narrative is about your philosophy, the tool is going to score you lower than the competitor who put the project sheet up front. Sequence matters.

  3. Personality without substance. A great opening story is valuable, but not if it means your technical response starts on page 6. Lead with what gets scored. Earn the story.


The reality about AI-ranked evaluations is that they reward precision and penalize vagueness, which means they actually work pretty well as a filter. The proposals that get dinged are usually the ones that were always weak on specifics. The ones that survive tend to be the ones that were always doing the actual work.


Your job is to be the proposal that scores well enough to make the shortlist, AND feels human enough to win the room.


Those are not the same document. But they can be the same proposal, if you build it right.


Next Up: And about that price question...

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