Collaborative AI answers across files and portals
AutoRFP.ai is a cloud response platform for RFPs, RFIs, RFQs, DDQs, tenders, security questionnaires, and web portals. It combines cited and trust-scored AI drafting, a self-building content library, real-time collaboration, project reporting, broad integrations, and project-based pricing with unlimited users.
Read this profile to prepare a demonstration with your own documents. Inspect whether the evidence supports the exact answer and whether its qualifications survive rewriting.
Product Website Screenshot
Product Overview
AutoRFP.ai invites a drafting-focused evaluation: how well can a team turn existing knowledge into an answer that survives expert review? Check the workflow with the formats your buyers actually send.
The capabilities below are vendor-described features from the RFPhub research record. Their exact scope should be demonstrated in the package you are evaluating.
- AI response drafting. Generates on-brand responses with source citations and a Trust Score.
- Browser & portal completion. Processes Excel, Word, PDF, SAP Ariba, OneTrust, and browser portals and exports to original or branded formats.
- Content freshness management. Auto-tags approved content and manages source ownership, review schedules, freshness, and conflicts.
- Review & approval workflows. Supports assignment, review, approval, comments, notifications, progress tracking, and audit trails.
- Requirements extraction. Analyzes opportunities and requirements before and during response work.
- Chat & messaging access. Connects external AI assistants to AutoRFP knowledge and lets AutoRFP agents use compatible external MCP servers.
A useful evaluation records corrections and unresolved questions alongside accepted answers.
AutoRFP.ai RFP Software Product Details
AutoRFP.ai RFP software pricing
$899/mo · billed annually; 24 projects/year
No free trial confirmed; conditional 30-day money-back guarantee
Subscription scope can depend on licensed users, usage, integrations and services. Ask the vendor to identify the current package, billing commitment and exclusions in writing.
| Scope | Users | Usage | Services |
|---|---|---|---|
| Current offer | Confirm licensed roles | Confirm question and project limits | Confirm onboarding and support |
| Buyer check | Contributors vs reviewers | Overages and AI allowances | Migration and add-ons |
Benefits of AutoRFP.ai
These are the workflow benefits to validate in a pilot, not measured outcomes for this product.
- AI response drafting. Generates on-brand responses with source citations and a Trust Score.
- Browser & portal completion. Processes Excel, Word, PDF, SAP Ariba, OneTrust, and browser portals and exports to original or branded formats.
- Content freshness management. Auto-tags approved content and manages source ownership, review schedules, freshness, and conflicts.
- Review & approval workflows. Supports assignment, review, approval, comments, notifications, progress tracking, and audit trails.
- Requirements extraction. Analyzes opportunities and requirements before and during response work.
- Chat & messaging access. Connects external AI assistants to AutoRFP knowledge and lets AutoRFP agents use compatible external MCP servers.
Features of AutoRFP.ai
Security and answer controls
Assess evidence review separately from information-security controls and contractual data handling.
The source record does not establish the full scope of this area. Request a demonstration and written package confirmation.
Interface and response preparation
Follow the work from the original buyer question to an approved answer using your actual files.
- AI response drafting. Generates on-brand responses with source citations and a Trust Score.
- Browser & portal completion. Processes Excel, Word, PDF, SAP Ariba, OneTrust, and browser portals and exports to original or branded formats.
- Chat & messaging access. Connects external AI assistants to AutoRFP knowledge and lets AutoRFP agents use compatible external MCP servers.
Knowledge management features
Inspect what feeds an answer, how sources stay current and how approved content is reused.
- Content freshness management. Auto-tags approved content and manages source ownership, review schedules, freshness, and conflicts.
Multi-project management features
Check question ownership, response status and the final buyer handoff.
- Review & approval workflows. Supports assignment, review, approval, comments, notifications, progress tracking, and audit trails.
Q&A features
Preserve source qualifications and exceptions through retrieval, drafting and rewriting.
- AI response drafting. Generates on-brand responses with source citations and a Trust Score.
Team collaboration features
Use separate accounts to validate roles, review responsibilities and changes to answers.
- Review & approval workflows. Supports assignment, review, approval, comments, notifications, progress tracking, and audit trails.
Reports and traceability
Inspect which decisions, source relationships and project information can be reviewed and exported.
- Requirements extraction. Analyzes opportunities and requirements before and during response work.
AutoRFP.ai Integrations
The recorded integration list helps you plan the demonstration. A listed connection does not establish synchronization depth or availability on every plan.
Knowledge and document sources
Box, Google Drive, OneDrive, SharePoint, Confluence, Notion, Seismic
Demonstrate source updates, deletions and access changes before connecting a restricted repository.
Team tools, identity and automation
Salesforce, Slack, Microsoft Teams, Email
Identity connections recorded: Okta, Microsoft Entra ID, Microsoft SSO, Google Workspace
Source-based workflow assessment
Open the criterion evidence in Product Details to see which documented tasks support the score.
5 Quick steps to evaluate AutoRFP.ai
Provide a technical document with an explicit exception. Ask a question that would be wrong without that exception. Confirm that the answer preserves it through rewriting and export.
1. Prepare your source documents
Select approved documents and mark the current version. Include an exception and a question with no supporting evidence.
Latest news
Test the evidence behind an AI RFP answer
A repeatable checklist for sources, qualifications and reviewer approval.
25 October 2026Sources and research history
Selected-source check: . Earlier research baseline: 2026-09-07.
- autorfp.ai/pricing — vendor claim
- autorfp.ai/features — vendor claim
Official-source research, not hands-on testing. Features are vendor claims; security controls, connectors and contractual terms require validation.
Leave Your Evaluation Note
Save a local draft for your own review. This form does not post a public review or send personal information to a server.
Editorial update: . Copy and navigation revision; vendor source-check dates remain recorded separately in each profile’s research history.