AI for Government Contractors

AI Fundamentals Through a GovCon Lens

How AI actually works — explained through RFPs, capture plans, FPDS data, and proposal volumes. What AI can do, what it cannot do, and what govcon-specific constraints you need to understand before deploying it.

What AI actually is — in terms you care about

Forget the technical jargon for a moment. Here is what AI means for your daily work in government contracting.

An AI language model is a system that has read and processed an enormous volume of text — including government regulations, federal acquisition documents, proposal writing guides, and technical documentation. It has learned the patterns of how these documents are structured, what language the government uses, and how requirements relate to evaluation criteria. It does not "understand" these documents the way your capture manager does. But it can process them, extract structured information, and generate text that follows the patterns it has learned.

When you give an AI model a 200-page RFP and ask it to extract every shall/will/must requirement, it is not "reading" the way a human reads. It is identifying patterns in the text that match requirement language, associating them with the surrounding context (which section, which evaluation factor), and producing a structured list. It does this in minutes, with a consistency that a human shredding the same RFP over eight hours cannot match.

The practical implication: AI is a force multiplier for the information-processing work that dominates the early stages of capture and proposal development. It does not replace judgment. It replaces the manual labour of extraction, organisation, and first-draft generation.

?

How would you describe your team's current familiarity with AI tools?