Requirement Analysis
Automatically identifies and structures tender requirements so nothing slips through.
Use case ยท AI for Proposal Writing
AI for proposal writing: stop starting from a blank page.
The problem
Bid and proposal teams know that 60–80% of any new proposal is content they've written before, in some form, in some past document. But finding it, reusing it, and stitching it together is the slowest part of the work — and competitors are submitting first.
The solution
We build a system that reads your historical proposals, RFP responses, and case studies, then produces a strong first draft tailored to a new RFP. Your experts review and refine rather than writing from scratch.
The platform does more than generate text. It analyses tender requirements, retrieves relevant content from previous submissions, identifies supporting evidence, suggests win themes and helps teams produce stronger first drafts with significantly less manual effort.
This approach underpins one of our flagship AI platforms, helping bid teams analyse tenders, retrieve relevant knowledge, generate first drafts and improve submission quality at scale.
Workflow
From Tender Pack to First Draft
How the platform takes a freshly uploaded tender and turns it into a structured, evidenced first draft ready for expert review.
Upload tender
RFP, ITT or framework pack ingested securely
AI analysis
Structure, scoring criteria and mandatory clauses extracted
Knowledge retrieval
Past responses, case studies and evidence surfaced
Requirement mapping
Each requirement matched to content and owners
Draft generation
Section-by-section first draft with citations
Expert review
Bid leads, SMEs and reviewers collaborate in-platform
Submission ready
Compliance checked, formatted and signed off
Typical platform capabilities
What a production-grade AI proposal platform looks like once it is built, deployed and in daily use by a bid team.
Knowledge Retrieval
Finds relevant answers, case studies and supporting evidence from your historical content.
Draft Generation
Creates tailored first drafts using your tone, structure and historical proposal content.
Compliance Tracking
Tracks coverage against every tender requirement and flags gaps before submission.
Win Theme Suggestions
Highlights differentiators and proposal themes most likely to resonate with the buyer.
Review & Collaboration
Supports SME review, version control and sign-off before the submission goes out.
The outcome
Proposal turnaround drops from weeks to days. Win-rate trends up because submissions are stronger and on time. Senior bid people get their evenings back.
Faster turnaround
From weeks to days for first drafts, freeing capacity for higher-value bids.
Better knowledge reuse
Past wins, case studies and SME content become a living, searchable asset.
Consistent submissions
Tone, structure and approved messaging stay consistent across teams and bids.
Less manual searching
No more hunting across SharePoint, drives and old proposals to find the right paragraph.
Focus on strategy
Bid leads spend their time on win themes and reviewer feedback, not administration.
Improved win rate
Stronger, more compliant submissions delivered on time, every time.
Production AI
From Prototype to Production
Many organisations can demonstrate proposal generation using AI. The challenge is building a secure, reliable and maintainable system that integrates with real business processes.
We help organisations design, deploy, host and support AI-powered proposal solutions that operate successfully in production — not just in demos.
Azure Hosting
AWS Hosting
Secure Access
Monitoring
CI/CD
Managed Support
Related service
This use case is delivered through our ai sales conversation intelligence work. See also our full services list and other use cases.
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