Practical AI for GovCon

AI has quietly become a differentiator in GovCon. Successful companies embed it into the way they plan, compete, and deliver.

With agencies tightening budgets and competition intensifying, growth teams can’t afford blind experimentation. At Red Team, we’ve spent the past year helping organizations adopt AI where it adds real value. Some of the most valuable use cases help companies with accelerating intelligence gathering, improving capture quality, and enhancing proposal execution. The lesson we’ve learned (and continue to teach) is that the power of AI in GovCon comes from thoughtful design and implementation.

Where AI Creates Real Advantage

AI is best used in GovCon growth as a way to amplify your growth team and accelerating results. When applied deliberately, AI can accelerate some of the most time-intensive areas of business development and capture. Here are three examples where AI can be best implemented in the GovCon growth lifecycle:

1. Market and Customer Intelligence

AI can compress weeks of research into hours. Tools like ChatGPT Enterprise, Claude, and Perplexity can synthesize agency budgets, leadership priorities, and contract trends into clear, cited summaries.

Example Prompt:

“You are a federal market analyst preparing a 2-page intel brief for FY26 at the Department of Veterans Affairs. Summarize the agency’s top modernization priorities, major contract awards, and spending trends. End with three recommendations for where a mid-sized systems integrator should focus capture resources.”

Result:

This kind of structured prompting turns generic output into actionable BD intelligence, ready for leadership briefings or capture planning sessions.

2. Capture Strategy and Decision Support

AI is powerful when structuring decisions, not making them. Capture leaders use AI to summarize past performance data, model competitor profiles, and build quick win-theme drafts.

Example Prompts:

“Summarize the last five contract awards for DISA related to zero trust architecture. Identify incumbent vendors, contract vehicles, and pricing patterns.”

“Compare our past performance summaries against this RFP’s Section M evaluation factors. Highlight where we’re strong, where we’re light, and what teaming partners could fill the gaps.”

Result:

This helps BD and capture teams prepare Go/No-Go inputs faster, with supporting data that drives alignment instead of debate.

3. Proposal Development and Review

Proposal timelines won’t slow down, but AI can help teams manage the pressure. It can extract requirements directly from Section L and M, generate initial drafts, or even mock up visuals for complex workflows.

Example Prompts:

“Parse this RFP’s Section L and M into a compliance matrix with unique IDs for each requirement.”

“Convert this solution narrative into a storyboard outline that highlights three evaluator-facing strengths and supporting proof points.”

Result:

These tasks still require human review, but they give teams a structured starting point. Used within secure enterprise tools like Microsoft Copilot or ChatGPT Enterprise, the efficiency gains are significant without putting data at risk.

Empowering Teams to Lead the AI Evolution

AI success in GovCon starts at the top. Executives define whether it becomes a competitive edge or a costly distraction. The key is to lead with governance, clarity, and culture, then scale through structured adoption.

• Governance: Never feed non-public data into public models. Use enterprise-grade platforms with secure environments and clear usage policies.
• Clarity: Assign ownership for AI enablement. Someone on your growth team should be responsible for prompt libraries, tool evaluation, and process integration.
• Culture: Treat AI as an assistant, not a substitute. Encourage teams to experiment, but reinforce that human expertise and judgment remain the final authority in every capture and proposal.

With this foundation in place, companies can build toward a sustainable, AI-enabled growth lifecycle. Start small, measure impact, and scale what works.

• Pilot specific workflows in BD and capture. Start with safe, low-risk tasks like agency brief creation or competitor analysis.
• Codify what works into reusable prompts and templates.
• Scale proven workflows across the organization with governance and oversight.
• Evolve the system as tools and team maturity advance.

Over time, your AI models should learn your voice, brand, and win strategies. Used properly, your AI tools will become a meaningful extension of your growth team.

Final Thought

AI should make your people more valuable, not replace them. When embedded into a deliberate strategy – governed, tested, and aligned to your business goals – AI becomes a force multiplier that helps you compete smarter and win more consistently in the federal market.

If you’re looking to operationalize AI within your growth organization, we can help you design the framework, governance, and workflows to make it real.

Want to learn more? Our latest webinar with Deltek shares how to use AI across the entire growth lifecycle, from BD to capture to proposal execution.