Has anyone used AI to draft proposal sections, and what did the evaluators think?

I have not used AI to draft proposal sections because the evaluators are looking for specific, tailored responses to the solicitation, and AI output often lacks that level of specificity and critical thinking.

The challenge you experienced with the VA RFP is common when relying too heavily on AI for narrative content. The contracting officer and evaluation team are assessing your firm's unique capabilities and understanding of the requirement. AI typically generates generalized text based on its training data, which might sound correct but does not articulate your specific approach, past performance, or how you will meet the agency's exact needs.

Where AI might offer some value is in tasks like generating an initial outline based on Section L and Section M instructions, or performing a basic compliance check against specific keywords or requirements. For example, if the solicitation requires specific certifications or licenses, AI could help identify if those are mentioned. However, even for these tasks, human oversight is critical. For the substantive content, especially for complex federal proposals, the analytical depth and strategic tailoring still require human expertise.

I have not used AI to draft proposal sections for DLA awards. For my DIBBS quotes, the automated award system checks for exact matches on the National Stock Number (NSN), quantity, packaging, and marking requirements, not narrative content. The DLA system does not evaluate a narrative technical approach like the VA RFP Luis mentioned. Automated awards look for the lowest price that meets all other specifications. If you are quoting on a DIBBS RFQ, AI will not help you describe your firm's unique approach; it will not help you get an automated award.