From Curiosity to Strategy
AI is already part of our workflow.
Artificial Intelligence is embedded in many of the business tools we use every day—such as, Microsoft Word, Microsoft Teams, Zoom and Grammarly. Features like autocorrect and predictive text are now a routine part of our workflows—generally well-received, though autocorrect still thinks it knows best.
But a more significant shift is underway. AI is no longer limited to background support. A new generation of tools—like ChatGPT and Microsoft Copilot—has moved to the forefront. These generative tools are designed to create, not just correct.
Their capabilities introduce new possibilities—but also raise important questions. In proposal development, concerns about accuracy, originality, and appropriate use are part of the ongoing conversation. Used intentionally, generative AI can support how we plan, develop, and refine proposal content. But its role is still evolving—and not without debate.
How do you know if the AI-generated content you are using is accurate? You do not—unless you verify it. AI tools are not a substitute for human oversight.
This matters—especially in federal contracting.
Government customers are beginning to comment on AI-generated proposal responses and are raising concerns about the authenticity of proposals. Are these real solutions your team will implement—or just automatically generated text?
So, who is responsible for ensuring accuracy and integrity when AI is used in proposals? You are. As the proposal author or contributor, you remain accountable for the content submitted. AI can assist, but it does not evaluate intent, compliance, or suitability—that responsibility stays with your team. It is not a substitute for subject matter expertise. It should enhance—not replace—human judgment. The strategic thinking and final decisions must come from the proposal team behind the submission.
“You are the Author.
AI is your thought partner.”
But even as a thought partner, AI needs direction.
That is where prompt engineering comes in. Prompt engineering is the practice of writing clear, specific instructions to guide the tool’s output. The AI responds to what you provide. And yes, it makes mistakes. But with thoughtful prompting, you can stay in control, improve the relevance of your content, and maintain quality across your proposal responses.
Join us to learn how to get the most out of this powerful technology—and stay current as AI becomes more integrated into the proposal development process.
Everyone Is Talking About AI
From Curiosity to Strategy
September 9 | 1.5-hour live session
Or use this link: https://www.prglearn.com/products/live_events/ai-webinar
A Note from Dr. Rosengreen
For more than three years, I have used AI tools and seen where they help—and where they do not. Join me on September 9, for a focused, product-agnostic session on how proposal teams are using AI today, what to avoid, and how to stay informed as the tools continue to evolve.
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