# AutoRFP.ai RFP Software - Canonical page: [AutoRFP.ai Review: RFP Features, Pricing & Evidence | RFP AI Review](https://rfpaireview.com/reviews/autorfp-ai/) - Published: 2026-10-25 - Updated: 2026-11-01 ![](https://rfpaireview.com/vendor-media/icons/autorfp-ai.png) AutoRFP.ai [Visit Website](https://autorfp.ai/) [6.3/10 Workflow score](https://rfpaireview.com/methodology/) Selected sources checked
2026-10-25 ## 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. Official-source research; no hands-on benchmark has been completed. ## Product Website Screenshot ![AutoRFP.ai — vendor website snapshot](https://rfpaireview.com/vendor-media/screenshots/autorfp-ai.png) Historical vendor-site snapshot supplied in the RFPhub repository; not a product test or a source of current pricing. [Official website](https://autorfp.ai/) **Contact Details** Website [autorfp.ai](https://autorfp.ai/) Company details: consult the official vendor source. ## 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. Illustrative example: a source describing a capability on one plan does not support saying every customer receives it. Keep that qualification in the final answer. A useful evaluation records corrections and unresolved questions alongside accepted answers. ## AutoRFP.ai RFP Software Product Details ### Source and evidence coverage Source traceability **1/2** **View evidence** Generates on-brand responses with source citations and a Trust Score. Answers linked to sources: documented; Supporting source passage shown: not established in this record. [Source 1](https://autorfp.ai/pricing) · [Source 2](https://autorfp.ai/features) Exception review **1/2** **View evidence** Generates on-brand responses with source citations and a Trust Score. Answer quality or evidence checks: documented; Explicit claim-level evidence states: not established in this record. [Source 1](https://autorfp.ai/pricing) · [Source 2](https://autorfp.ai/features) ### Drafting and delivery coverage Drafting & refinement **1/2** **View evidence** Generates on-brand responses with source citations and a Trust Score. AI response drafting: documented; Rewriting or style adaptation: not established in this record. [Source 1](https://autorfp.ai/pricing) · [Source 2](https://autorfp.ai/features) Document workflow **2/2** **View evidence** Analyzes opportunities and requirements before and during response work. Processes Excel, Word, PDF, SAP Ariba, OneTrust, and browser portals and exports to original or branded formats. Buyer-file or portal processing: documented; Completed file or in-place response output: documented. [Source 1](https://autorfp.ai/pricing) · [Source 2](https://autorfp.ai/features) ## 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 | [Pricing Details](https://rfpaireview.com/pricing/) ## 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 [Open the recorded API documentation](https://learn.autorfp.ai/en/articles/15031130-how-to-integrate-with-claude) ## Source-based workflow assessment Open the criterion evidence in Product Details to see which documented tasks support the score. [Explore criterion evidence](https://rfpaireview.com/reviews/autorfp-ai/#tab2) · [Research sources](https://rfpaireview.com/reviews/autorfp-ai/#sources) ## 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 [#RFP evidence](https://rfpaireview.com/guides/evidence-check/) ### Test the evidence behind an AI RFP answer A repeatable checklist for sources, qualifications and reviewer approval. 25 October 2026 [Read more](https://rfpaireview.com/guides/evidence-check/) ## Sources and research history Selected-source check: 2026-10-25. Earlier research baseline: 2026-09-07. - [autorfp.ai/pricing](https://autorfp.ai/pricing) — vendor claim - [autorfp.ai/features](https://autorfp.ai/features) — vendor claim Official-source research, not hands-on testing. Features are vendor claims; security controls, connectors and contractual terms require validation. ## Related evaluations Assess AutoRFP.ai against annual project volume and the number of occasional contributors. Include portal responses and review workflows in the evaluation, alongside answer generation. [Arphie review](https://rfpaireview.com/reviews/arphie/) · [Responsive review](https://rfpaireview.com/reviews/responsive/) · [Filter all seven providers](https://rfpaireview.com/providers/) · [Run the evidence checklist](https://rfpaireview.com/guides/evidence-check/) Editorial update: November 1, 2026. Copy and navigation revision; vendor source-check dates remain recorded separately in each profile’s research history.