We spent 3 years building AI specifically for RFPs. In this session, we share the workflows we learned along the way, packaged so your team can use them in Claude without dedicated RFP software.

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Gaurav was a founding product manager at Google DeepMind, on the team that built Gemini. As co-founder and CPO of Inventive AI, he has spent three years learning how large models behave on real RFPs and security questionnaires. He has also built a repeatable system for answering them accurately with very little manual context. In this session, he walks through all of it.

For the last 3 years, we’ve been building Inventive AI specifically for RFPs and security questionnaires.
Along the way, we learned what actually makes AI useful for RFP responses. It comes down to giving it the right context, writing reusable instructions, and cutting out repetitive work.
Dedicated RFP software makes sense once your team handles a lot of proposals, but not every company is there yet. So we’re sharing what we’ve learned and showing you how to build a simpler version yourself, using Claude.
Here’s what we cover, step by step, so you can put it to work on your next RFP.
See the workflow we’ve refined over three years of AI-generated RFP responses, and how to recreate the core of it in Claude.
Learn how to get AI to find the right company context, instead of pasting huge documents into every prompt.
Get reusable Claude skills, instructions, and workflows your whole team can use for RFPs and security questionnaires.