AI PROPOSAL AGENT
Multi-Agent B2B Proposal Engineering, Tiered Pricing Scoring, and Automated PDF Closers
Agencies, freelancers, and consultants often lose prospective clients at the proposal stage due to generic formatting, naked pricing, single-option constraints, and poor follow-up structures. AI Proposal Team re-engineers this critical closing phase by transforming Claude Code into an automated proposal department operated via the command line. In under two minutes, this standalone tool researches the client, outlines scope, drafts an enterprise-grade business case, and compiles high-converting, multi-tiered PDF proposals completely for free. Key Features & Technical Architecture The architecture implements a modular, context-aware closing pipeline composed of a master orchestrator, 13 targeted command sub-skills, and 5 parallel AI agents. Contextual Audit Detection: The tool scans the active repository for previous audit artifacts (such as GEO, SEO, Reputation, or Restaurant reports). If found, it automatically maps those specific vulnerabilities directly into the customized proposal as core pain-point evidence. Parallel Closing Engine: Initiated via /proposal build, the framework deploys 5 specialized agents—Problem-Solution Fit, Pricing & ROI Clarity, Scope & Deliverables, Value & Business Case, and Persuasion & Close—to simultaneously evaluate the pitch and calculate a composite Proposal Strength Score (0–100). High-Value Frameworks: It natively designs a psychology-backed 3-tier "Good-Better-Best" investment framework, builds cost-of-inaction financial projections, pre-handles customer objections, structures formal Statements of Work (SOW), and packs a dedicated 4-stage post-send follow-up email matrix. ReportLab Integration: The system packages the entire markdown architecture into a highly polished, branded PDF document with dynamic pricing tables, ROI scenario charts, and targeted close grids.
