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AI-Assisted Proposal Drafting Case Study
An AI copilot was implemented to generate first-draft proposals using project briefs, pricing rules, and historical project data.
Business type
Small B2B services agency
Project type
AI-assisted commercial drafting
Outcome
55% less time for first proposal draft
Duration
3.5 weeks
Monthly proposals
25-40
Draft time
-55%
Revision loops
-30%
Project summary
A 9-person team sent 25-40 proposals per month.
Each proposal was manually assembled from multiple old documents.
The goal was to speed up proposal creation and improve consistency in structure and tone.
Problem
- Too much time spent on copy/paste and manual formatting.
- Inconsistent writing style across team members.
- Proposal delays slowed the sales cycle.
Solution
- AI templates by service type and industry.
- Automatic first draft of scope, timeline, and assumptions from the brief.
- Built-in guardrails for tone, commercial terms, and prohibited claims.
- Final editing and approval remained fully human.
Stack used
React internal tool
Node.js API
OpenAI API
PostgreSQL knowledge store
Notion sync
Vercel hosting
Measurable result
- 55% reduction in time to first proposal draft.
- 22% faster proposal submission from lead intake.
- Around 30% fewer internal revision cycles before client delivery.
Implementation notes
Timeline
3.5 weeks (pilot + rollout)
Scope boundaries
AI does not make final pricing decisions; pricing authority remains with the commercial team.
Data/privacy
Brief data was sanitized and sensitive details were excluded from prompt history storage.
Adoption
A 3-step workflow was introduced: brief check, draft generation, human finalization.
What made rollout successful
- Strong templates per service segment.
- Clear boundaries on what AI could and could not suggest.
- Short feedback loops with the sales team.
Need faster, more consistent proposals?
We can implement an AI-assisted proposal workflow that speeds drafting while keeping commercial control in your team.
Book a consultation