Search Web, Content and Create Documents with our Project Agent

AutoRFP.ai uses a two-tier agent architecture.

The Response Agent operates inside a single response, letting you describe edits in plain language and see a side-by-side diff before approving.

The Project Agent operates across your entire project, handling bulk operations like tone alignment, win theme injection, and compliance validation across hundreds of responses in a single instruction.

Both agents ground every output in your content library, project attachments, and uploaded documents rather than generating generic content.

Yes. The Project Agent creates supporting documents informed by your full project context, content library, and prospect research.

This includes implementation plans, SLA documents, compliance matrices, cover letters, and executive summaries.

Each section maps to the RFP requirements using your approved content.

Documents export into your uploaded branded templates, preserving cover pages, fonts, colours, and formatting.

When multiple SMEs contribute to a project, voice and style inevitably drift.

One writes in first person, another in third.

The Project Agent scans all responses in a section or the entire project, flags inconsistencies, and applies corrections.

Give it a single instruction like 'align all responses to formal, third-person tone' and it processes every response, showing you the changes for approval before anything is committed.

AutoRFP.ai supports MCP (Model Context Protocol) connectors to over 17,000 external systems.

The agent can pull deal context from your CRM (Salesforce, HubSpot, Dynamics), search call transcripts in Gong or Grain for prospect requirements and competitive mentions, and retrieve roadmap items from tools like Jira or Linear.

Your organisation admin whitelists approved connectors, each user authorises their own connections, and access defaults to read-only.

The agent only sees what you are authorised to see in the source system.

No. The agent works alongside your existing content library and workflows.

When editing or creating responses, it searches your approved content first and grounds its output in what your organisation has already validated. It does not hallucinate or generate generic filler.

Every edit surfaces a diff for your review before it is applied. Think of it as a senior bid strategist who knows your content library inside out and can apply that knowledge at scale across an entire project.