AI & Automation2025
AI Proposal Engine
An internal Twixr tool that turns rough client briefs into structured proposals using GPT-4 and a custom RAG pipeline over past project scopes. Sales prep dropped from hours to minutes while keeping tone and pricing consistent.
OpenAINext.jsLaravelRAG
1/2Context
Challenge & solution
The challenge
Proposal writing was a bottleneck — each scope took 2–4 hours of manual drafting, and quality varied between team members.
The solution
Built a Next.js frontend with Laravel API, vector store over historical proposals, and prompt templates tuned for scope sections (timeline, stack, deliverables).
Results
Key outcomes
Measurable impact delivered through this engagement.
70% reduction in proposal drafting time
120+ active internal users within first quarter
Consistent scope structure across all outbound proposals
RAG retrieval improved relevance of past-project references
Scope
What was delivered
End-to-end deliverables included in this project.
Technical architecture & system design
Full-stack application development
Database schema & API design
Automated testing & CI/CD pipeline
Deployment & monitoring setup
Documentation & knowledge transfer
Stack
Technologies used
Next.js
Laravel
OpenAI
Pinecone
PostgreSQL
Tailwind CSS
More work
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