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On-Demand Webinar: Enhancing RFP Fit Analysis

Discover how AI overcomes the limitations of traditional methods, ensuring a more efficient and precise evaluation with pWin.ai. Gain practical insights on embedding AI into your proposal processes to enhance decision-making and significantly increase your proposal win rates.

In this 30-minute webinar, Amy McGeady, SVP of Strategic Services at Shipley, and Vishwas Lele, Co-Founder and CEO of pWin.ai discussed:

  • The limitations of traditional RFP analysis methods and how AI can address these challenges.
  • How pWin.ai leverages AI for a more efficient, accurate, and comprehensive approach to RFP analysis.
  • Practical insights on integrating AI into your proposal processes to enhance decision-making and boost success rates.

What others say about us

Jason Payne

CTO, Microsoft Federal

pWin.ai represents one of the best examples of how generative AI can improve personal and organizational efficiency and quality. We all know proposal development is hard work, and often a nights and weekends task. By combining pWin.ai with the Shipley Proposal Process, every capture team can realize the potential in time saving and quality of having an AI companion that can draft, revise, and review proposal content.

Todd Barnett

CEO, Shipley Associates

Shipley’s partnership with pWin.ai represent a commitment to excellence, combining Shipley’s BD expertise with pWin.ai’s AI technology to enhance proposal development efficiency, creativity, and success… Shipley and pWin.ai will co-create the ultimate reflection of a half century of proposal and business development wisdom through the latest AI technology for a future where AI embraces our capabilities, makes us more efficient, creative, and successful.

Amy Blenken

CEO, Client Solution Architects

pWin.ai is changing how we can address business opportunities. Within hours pWin.ai delivers a flight plan which cues the team for pain points, win themes, and solutions. We’ve been able to generate a pink team with our Knowledge Repository (KR) without any solution input, and we received a solid response for entry to solutioning sessions, filled with direct linkages to our historical data. The efficiencies for our team are just beginning to be realized as we become proficient in pWin.ai features.