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Knowledge-Base Proposal Writer

An AI Proposal Writer Grounded in Your Company Knowledge Base

Craxy AI combines the RFP requirements with the company documents selected for that opportunity, helping writers produce relevant first drafts from approved source material instead of generic boilerplate.

Clear definition

What is a knowledge-base AI proposal writer?

A knowledge-base AI proposal writer uses a company-controlled document library as context for drafting. For a proposal team, that library can include capability statements, past-performance descriptions, case studies, team biographies, certifications, brochures, and previous proposal material.

Craxy lets the team select the documents relevant to a particular opportunity. During content generation, the proposal section, its assigned RFP requirements, and the selected knowledge sources can be considered together. The goal is a useful first draft grounded in real company material—not a generic response built from the solicitation alone.

Grounding improves relevance, but it does not make every source statement current or suitable for every bid. Proposal owners still decide which projects, people, metrics, and claims may be used. Writers must verify the generated text against the source documents and the facts approved for the response.

Product workflow

Turn reusable company evidence into proposal-specific drafts

The document library is reusable across proposals, while source selection and writing remain specific to the opportunity.

  1. 1

    Organize company documents

    Upload supported company files to the knowledge base and give each document a clear title and description so the team can find the right evidence later.

    Output: A reusable company library available to authorized proposal workflows.

  2. 2

    Select sources for the opportunity

    Choose the capability, experience, personnel, certification, or other documents that are relevant to the RFP instead of sending the entire library into every draft.

    Output: A proposal-specific source set paired with the solicitation requirements.

  3. 3

    Draft, verify, and refine

    Generate sections from the outline, use custom prompts to refine the content, compare claims with the selected sources, and run structured review before export.

    Output: An editable first draft prepared for subject-matter and proposal-team review.

Designed for evidence reuse without copy-and-paste hunting

The knowledge base connects reusable company material to the specific requirement and section a writer is working on.

Reusable document library

Store PDF, DOCX, DOC, and TXT material such as past performance, capability statements, case studies, resumes, certifications, brochures, and templates.

Opportunity-level source selection

Select relevant knowledge-base documents for a proposal so unrelated clients, industries, or capabilities do not automatically shape the draft.

Requirement-aware generation

Draft a section with its mapped RFP requirements in view, helping the generated content respond to the buyer instead of merely describing the company.

Relevant context retrieval

Use the section title, description, and key requirements to retrieve useful passages from selected documents for content generation.

Section-by-section control

Generate and edit one part of the proposal at a time, refine it with custom instructions, and keep human approval between source material and final text.

Review against the RFP

After drafting, use structured review to check whether the content addresses its assigned requirements and identify gaps that still need human input.

Grounded drafting still requires source discipline

A knowledge base is only as reliable as the material inside it. Old resumes, superseded certifications, unapproved client names, and performance claims from another project can create risk even when the draft accurately reflects the uploaded document.

Maintain the library as a governed source of proposal content. Select only documents that apply to the current opportunity, verify generated claims line by line, and route technical, contractual, personnel, pricing, and past-performance statements to the right human owner.

Frequently asked questions

What documents can I put in the Craxy knowledge base?
Teams can upload supported PDF, DOCX, DOC, and TXT files. Useful proposal sources include capability statements, past-performance documents, case studies, resumes, certifications, brochures, templates, and previous proposal material that the company is authorized to reuse.
Does Craxy use every knowledge-base document for every proposal?
No. Teams can select the knowledge-base documents relevant to a particular proposal. Focused selection helps keep unrelated clients, projects, industries, and capabilities out of the drafting context.
How does the knowledge base affect proposal writing?
During section generation, Craxy can use relevant passages from the selected company documents together with the section description and mapped RFP requirements. This helps create a first draft based on company evidence and the buyer’s request.
Will knowledge-base grounding prevent inaccurate claims?
It reduces reliance on generic prompting, but it does not guarantee factual accuracy. Uploaded material may be outdated or unsuitable for a specific bid, and generated text can still require correction. A human reviewer must verify every material claim before submission.
Can I edit AI-written proposal sections?
Yes. Generated sections are editable. Writers can refine content with custom instructions, add subject-matter detail, remove unsupported language, and review requirement coverage before exporting the proposal.

Move from solicitation to reviewable draft in one workspace

Analyze the source documents, organize the response, draft from approved company material, and review the result before export.

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