Masterclass: Responsible AI

📅 Frequency: Biweekly, on Wednesdays

⏰ Time: 1:00 PM – 2:00 PM EST

As AI reshapes proposal writing, evaluators require a deeper commitment to security and ethics than ever. In this Masterclass, you’ll discover insights to build trust, enhance transparency, and deliver better proposals while using AI.

Building Trust Through Transparent AI: See how transparent AI practices enhance credibility with customers, reassuring them of ethical AI use and accurate high-quality proposals.

Key Components of Responsible AI: Gain insights into the pillars of responsible AI, including data protection, and traceability.

Real-World Applications with pWin.ai: See how pWin.ai embodies responsible AI through its cutting-edge features, such as data assurance, and compliance tracking.

▼ See Details Below

Our Principles

Unmatched Efficiency

pWin.ai’s goal is to help you shorten the time needed to draft proposals, bid on more opportunities and improve win rates by freeing up time for strategic focus. It does this by generating a 40-60 page, Red Team-ready proposal draft up to 80% faster than traditional methods.

Responsible AI

At pWin.ai, we are committed to upholding the highest ethical standards, protecting your data, and offering features to streamline your processes. Our platform acts as your copilot, empowering teams to optimize proposal responses while leaving true authorship, control, and final ownership in human hands. 

Ironclad Security

pWin.ai was built from the ground up to safeguard sensitive data, and that will always be our highest priority. With industry-leading security certifications, you can confidently store confidential strategies, previous RFP responses, and client-specific information, knowing it will never be exposed or misused.

Shipley Writing Quality

pwin.ai’s data scientists, in collaboration with Shipley, have spent countless hours of R&D distilling what makes a quality proposal. The outcome is a writing engine with Shipley best practices baked in that produces high-quality, compliant, and compelling long-form responses.