AutoRFP.ai is an artificial intelligence company that helps organizations draft responses to Requests for Proposals and related questionnaires. The system uses existing documents, including past answers, sales content, product descriptions and compliance material, to generate structured first drafts. Instead of starting each submission from scratch, users begin with content that the platform organizes and prepares for review.
The platform is built around generative artificial intelligence and semantic search. These technologies allow it to interpret requirements and identify relevant material within an organization’s internal archive. When a company has answered similar questions before, the system locates matching passages and adapts them to the new request. When it encounters unfamiliar questions, it assists users in creating new responses that can be saved for future use.
This process allows organizations to respond to proposals and questionnaires in less time than traditional manual drafting. Teams can review and edit the generated text before submission, which keeps human oversight in place while reducing repetitive writing. Each approved response becomes part of the internal dataset, which supports later projects and helps maintain consistency across documents.
Security and data governance are central to the system. Client information is not shared with public artificial intelligence models, and proprietary content remains within controlled environments. The company maintains certifications such as SOC 2 and ISO 27001 to support structured information security practices. These safeguards allow organizations to use artificial intelligence tools while retaining control over sensitive material.
How the Drafting Process Works
Organizations that manage frequent proposals often handle large volumes of questions covering background information, technical specifications and compliance details. AutoRFP.ai searches stored documents to locate content that matches each requirement. It then assembles selected material into a draft that reflects the organization’s language and standards.
When no direct match exists, the platform supports the creation of new responses. Once approved, those responses are added to the system’s internal knowledge base. Over time, this growing dataset reduces the need to rewrite information that has already been validated. Teams can focus on tailoring responses to specific opportunities rather than maintaining separate content libraries.
The drafting process is designed to fit into existing workflows. Users upload documents, review generated sections and make edits before finalizing submissions. The system acts as a support tool that organizes information and prepares structured drafts while leaving decision making to internal staff.
Use Across Industries
Organizations in sectors such as sales, consulting, manufacturing and healthcare use the platform to manage proposals and compliance documents. Many of these industries rely on formal responses to secure contracts or meet regulatory requirements. The system supports these needs by organizing internal content and preparing drafts based on stored material.
Customers report that faster drafting allows them to participate in more opportunities. Some proposals include hundreds of questions, and manual preparation can require significant time. By generating structured first drafts, the platform reduces repetitive effort and allows teams to allocate time to review and refinement.
The software also supports multiple file formats and submission systems. Teams can upload spreadsheets, document files and other content types, and the platform organizes the information for drafting. This flexibility allows organizations to continue using their existing processes without restructuring how proposals are received or managed.
Data Control and Governance
AutoRFP.ai keeps client content separate from public artificial intelligence training datasets. Proprietary documents remain within controlled systems, and outside models do not access company information. This structure supports confidentiality and helps organizations manage sensitive material within their own environments.
Businesses can select storage and hosting options that align with regional requirements. This capability supports compliance with internal governance standards and regulatory guidelines. Enterprise authentication features and audit controls provide additional oversight so administrators can monitor activity and manage access within the system.
These security measures are integrated into the workflow. Proposal drafting occurs inside a structured environment that supports both efficiency and data protection. Organizations can therefore use artificial intelligence assistance while maintaining established compliance practices.
Workflow Integration and Collaboration
Once configured with company content, the platform becomes part of the proposal process. Users upload documents, select relevant material and generate drafts. Reviewers then edit, verify and finalize responses before submission. This sequence preserves internal control while reducing the time required for initial drafting.
Collaboration tools allow multiple contributors to work on different sections of a proposal at the same time. Teams can track revisions and coordinate updates within the system. This structure supports organized review cycles and reduces delays that may occur when documents move between separate tools or email threads.
Because approved responses remain stored in the platform, organizations do not need to maintain separate content libraries for every proposal type. Instead, they rely on a centralized system that houses validated material. This setup helps maintain consistency across submissions while reducing duplication of effort.
Broader Applications
Although the system focuses on Requests for Proposals, it also supports related documents such as security questionnaires and due diligence forms. These materials often require detailed and consistent information about policies, procedures and technical specifications. By drawing from internal archives, the platform helps prepare responses that align with company standards.
The system supports automated drafting in more than 30 languages. This feature allows organizations to respond to international opportunities without recreating documents for each region. Teams can use the same internal knowledge base while adapting language to meet specific requirements.
Whether responding to government agencies, corporate buyers or global partners, organizations can rely on a centralized content system rather than managing information across multiple files. This organization supports structured workflows and consistent documentation across proposals.
AutoRFP.ai addresses a long-standing challenge in proposal management by reducing repetitive drafting tasks. Teams remain responsible for reviewing and finalizing responses, while the system prepares structured first drafts from approved material. Each completed project contributes to the internal dataset, which supports future submissions and ongoing documentation needs.
Through artificial intelligence, semantic search and secure data controls, the platform supports organizations that manage frequent proposals and questionnaires. The combination of automated drafting and human oversight allows companies to respond to opportunities with organized documentation while maintaining governance and control over their content.
Jasper Cooper, Co-Founder & CEO, AutoRFP.ai
