As government contractors evaluate how to deploy AI across capture and proposal workflows, many face the same question: build internally or adopt a platform? While internal development may seem viable early on, the long-term realities are more complex. This executive brief outlines the patterns leadership teams encounter as they navigate this decision.
Read the Report to learn more about:
- Why most organizations start by building, and why many ultimately reassess
- The gap between a working prototype and a production-ready platform
- What internal AI development actually looks like over a 6–12 month timeline
- The hidden challenges of governance, security, and enterprise integration
- Why adoption and workflow integration are often the biggest barriers to success
- The long-term ownership and maintenance considerations most teams underestimate
- How leading organizations evaluate tools, internal builds, and purpose-built platforms
- The opportunity cost of delayed AI adoption in competitive proposal environments
- A practical framework for evaluating build vs. buy decisions
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