Background

In 2025, the leadership team at one of the largest federal contractors in the country set a clear mandate: integrate generative AI into its core proposal and capture operations to establish operational efficiency, scale proposal capacity, and stay competitive in a rapidly changing contracting landscape.

The stakes were high. Competitors were already experimenting with AI in their proposal workflows, while the risk of ‘shadow AI’ use was rising as internal teams began feeling the pressure of legacy processes and increasingly aggressive bid timelines.

The Build vs. Buy Dilemma

Initially, the aerospace and defense company considered building an in-house AI solution. However, their engineering and proposal teams quickly realized the scope and magnitude of such an effort.

Internal Build Estimates:

• 9–12 months of timeline to build even a minimum viable product
• $2–$5 million in initial investment for model development and hosting infrastructure
• Dedicated teams for security compliance, integration, and maintenance

Critically, the internal approach lacked one key capability: deep domain expertise. The company needed a solution designed specifically to generate full, comprehensive, and compliant federal proposals.

Identifying the Right Solution

Recognizing that specialization was essential, the contractor defined clear selection criteria for their ideal solution:

• Enterprise-grade security, including CMMC-level compliance with built-in encryption and user access controls.
• Alignment with the Shipley methodology, which underpins their entire proposal process.
• A measurable 25% reduction in proposal generation time.
• A solution that drafted complete (often 100’s of pages) proposal drafts, without the need for heavy manual prompting by their team members.
• Broad adoption across proposal teams during trial and testing phases.
• Approval from their internal AI Board of Governance, ensuring compliance with responsible AI use and data governance standards.

Why pWin.ai

The turning point came when the contractor’s proposal leadership team attended a Shipley-led webinar introducing pWin.ai. The team was immediately drawn to the platform’s deep integration of Shipley best practices and its ability to generate complete first drafts, not fragmented answers.

For a team steeped in Shipley methodology, the alignment was immediate. pWin.ai didn’t just promise automation; it promised structure, compliance, and completeness with the ability to deliver full, first-draft proposals, not fragmented responses stitched together by hand.

What followed was a highly personalized, white-glove experience from pWin.ai’s team: one-on-one demos and sandbox trial environments to test functionality with access to the entire pWin.ai platform on their own data and with actual in-process RFPs. This hands-on experience allowed teams to validate the tool in real conditions, observe measurable time savings, and build confidence across internal users and stakeholders.

Download the full case study to read more about the key factors and decision making process the GovCon went through in choosing its proposal solution.