How to Influence RFP Creation: Using AI with Past RFP Responses to Win

Use AI and your past RFP response data to influence future RFPs before they're issued: report on compliance gaps, measure response strength, and shape requirements in your favor.

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Join Jasper Cooper and Nitzan Gorodetsky from AutoRFP.ai as they show how to use AI and your past RFP response data to influence future RFPs before they’re issued. Learn to report on compliance gaps, measure response strength, and shape requirements in your favor.

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  • Profile of Jasper Cooper

    Jasper Cooper

    Co-Founder & CEO, AutoRFP.ai

    Co-founder and CEO of AutoRFP.ai. Spent 7 years running global RFPs and personally completed 500+ RFPs before founding the company.

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    Before founding the company, that work was mainly SaaS and enterprise deals, including his first million-dollar RFP at 19. He has also led global response work directly, and today he oversees AutoRFP.ai's global response process across three offices and time zones while leading the company's expansion in Europe.

    LinkedIn: Jasper Cooper
  • Profile of Nitzan Gorodetsky

    Nitzan Gorodetsky

    AutoRFP.ai

    Technical Account Manager at AutoRFP.ai. Background in asset management completing institutional RFPs and DDQs; now implements AutoRFP.ai for some of the company's largest accounts.

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    At CI Assante Wealth Management, that response work was part of client and planning. It is the firsthand experience she brings to technology roles today.

    LinkedIn: Nitzan Gorodetsky

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Every draft carries a Trust Score for its sources and a Feedback Score for how fully it answers. Quality is measured by how little your team changes, and every approval records it. In a recent RFP, Red Rover had 95% of responses automated (83 out of 87 requirements). Measure it on your own RFPs in a two-week proof of concept.