AutoRFP.ai is an AI-powered platform that automates responses to RFPs, DDQs, RFIs, and security questionnaires using generative AI. It generates draft responses from user content libraries, supports real-time collaboration, and integrates with tools like Salesforce and Google Drive. The system processes inputs in formats including Excel, Word, and PDFs, and exports to matching formats or online portals via browser extension.
Key features include the AI Response Engine for instant drafts, Hyper Editor for efficient editing with reduced clicks, and Writing Actions for tasks like shortening or simplifying text. The AI Reviewer provides scores and feedback on response quality. Translation supports over 30 languages with localization for variants like UK and US English. Content management uses flexible tagging for categorization, such as by product or HR topics. Security involves private Azure AI processing, zero model training on user data, ISO 27001 and SOC 2 certifications, and regional data centers in EU, US, and AU.
Top competitors include Loopio, which focuses on content library management and collaboration but offers less advanced generative AI, and Responsive (formerly RFPIO), known for extensive integrations and automation but with a more complex interface and per-user pricing. AutoRFP.ai’s project-based pricing includes unlimited users across tiers, generally more scalable than Loopio’s setup or Responsive’s add-ons. Users report 60 percent time savings and 10 percent win rate increases.
Positive aspects involve accurate contextual responses using company terminology, seamless team workflows, and easy import/export. Negative aspects include dependency on high-quality input content for optimal accuracy and occasional manual adjustments for specialized questions. Surprise elements are the Trust Scores for response confidence and one-click tone adjustments that maintain consistency across documents.
The platform handles multi-user editing without limits and automates notifications via Slack or Teams apps. For implementation, import initial content, test with a sample RFP, and refine based on AI feedback to achieve reliable outputs.