How will you support our rollout?
As you raised on our call1, a named manager runs setup and training before your Q3 launch.
1Acme discovery call
AutoRFP.ai connects to the Gong MCP server to pull call and deal insights into responses.
Some of your best answers come from what customers actually say. As an MCP client to the Gong MCP server, AutoRFP.ai brings call and deal context into your drafts, and the same client model lets us connect to a fast-growing ecosystem of MCP servers, far beyond a fixed integrations list.
In AutoRFP.ai, add the Gong MCP server endpoint and authorize access. AutoRFP.ai connects as a client using your scoped Gong credentials.
Select the calls, deals, or libraries AutoRFP.ai may query, keeping retrieval within your Gong permissions.
When you generate a response, AutoRFP.ai can pull relevant Gong context so answers reflect what buyers actually said.
Something else on your list? Bring it to a demo and we will answer it on one of your own questionnaires.
Gong runs the MCP server; AutoRFP.ai is the client that connects to it. This is the reverse of our AI-assistant connectors (Claude, ChatGPT, Copilot), where AutoRFP.ai runs the server.
The same client model lets AutoRFP.ai connect to a growing set of MCP servers, Gong is one example. If a tool exposes an MCP server, AutoRFP.ai can typically connect to it.
Pull live company, contact, and deal context from HubSpot into response work.
Retrieve governed compliance and risk context from Vanta while answering buyer questions.
Bring authorized Drata controls, policies, risks, and evidence into questionnaire projects.
Search trusted Highspot content and deal guidance from inside an AutoRFP.ai project.
Product demo
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.