The business case starts with your proposal economics
Govcon executives understand cost-benefit analysis. They do it on every bid/no-bid decision, every staffing decision, and every IR&D investment. The business case for AI adoption follows the same logic — but the numbers are more favourable than most govcon leaders expect, because the current costs of manual capture and proposal development are so high.
Let us start with what you are actually spending today.
A mid-size government contractor ($100M-$300M revenue) typically submits 15-25 competitive proposals per year. The direct cost of a proposal — proposal manager, writers, SMEs, volume leads, graphics, reviews, production — ranges from $30,000 for a simple task order response to $200,000+ for a major IDIQ or single-award contract. For a company submitting 20 proposals per year with an average cost of $75,000, that is $1.5 million annually in proposal development costs.
Add capture costs — BD analyst time, capture manager time, competitive research, customer engagement travel, teaming development — and the total business development investment is typically $2-3 million per year for a company of this size.
Now factor in the win rate. At an industry-average 25% competitive win rate, five of your twenty proposals win. The fifteen losses represent $1.125 million in direct proposal costs that produced zero revenue. Your five wins must generate enough contract margin to cover not just their own proposal costs, but the cost of the fifteen losses.
This is the economic framework that AI disrupts. Not by eliminating BD or proposal costs, but by reducing per-proposal costs and increasing the win rate — which dramatically improves the return on your BD investment.
