Every RFP needed example content, and this team built it by hand every single time.
They had a library of past work sitting right there. But using it meant digging through it manually, finding the closest match, copying it, and reworking it for the new prospect. It worked. It was just slow. And here's the part that actually cost them: content was the thing capping their growth. Not demand. Not interest. They couldn't take on more RFPs because they couldn't turn content around fast enough to keep up. A library full of good work, and almost none of it was easy to reach.
Checkmark Automations built a Claude-based retrieval system backed by a vector database. Every piece in the client's content library was tagged with structured metadata, use case, industry, content type, and made semantically searchable. The system reads each incoming RFP, retrieves and ranks the best-fit past work, and drafts a tailored response inside the team's existing CRM.
Content is no longer the ceiling on how many RFPs the team can take on.
Quality maintained, while speed to delivery is revolutionized
Sales teams get the tools they need to win the bids, budget and work before their competitors.
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