The Proposal Automation System
Turns discovery notes into polished proposals in minutes, not days
How It Works
After a discovery call, a rep submits their notes into the Proposal Automation System. An AI drafting agent pulls the relevant scope, pricing logic, and case study references from your proposal library, then generates a fully formatted proposal draft tailored to the prospect's situation. A human reviewer checks the proposal for accuracy, edits tone and specifics, and approves it before sending. Nothing goes out unreviewed. The system learns which proposal structures convert best.
Step-by-Step Flow
Build your proposal template library: scope blocks, pricing tiers, case study snippets
Connect your CRM so discovery notes and deal context flow in automatically
Rep submits post-call notes via form or CRM trigger
AI drafting agent generates a structured proposal using your library and the deal context
Rep reviews, edits tone and specifics, approves the final version
Approved proposal sends via your existing tools. Deal stage updated automatically.
Best For
- Service businesses where proposals take 4+ hours to write and customize
- Sales teams where proposal quality is inconsistent across reps
- Companies where slow proposal turnaround is costing them deals
This is customized for your business.
Every node, tool, and logic path shown here gets adapted to your team structure, your CRM, and your existing workflows. What you see is the proven pattern. What we build together is built specifically for you.
Implementation Notes
The proposal library is built as structured blocks stored in a database or Notion: scope blocks by service type, pricing tier tables, case study snippets keyed by industry and problem type, and boilerplate sections including terms, methodology overview, and team bios. Discovery notes are submitted via a CRM trigger when a deal moves to the Proposal stage, or via a manual form if CRM automation is not yet configured. The drafting agent reads the notes in two passes: first it identifies scope signals, budget signals, timeline signals, pain points, and decision criteria; second it selects and assembles the relevant library blocks into a full document structure. Output is a formatted Google Doc or Notion page with placeholders clearly marked for rep review. Reps edit directly in the document; the proposal cannot be sent without the rep explicitly marking it approved in the CRM. Proposal send time is logged against deal creation date and win or loss outcome, allowing the system to surface which proposal structures correlate with higher win rates over time. Average API cost per proposal run is $0.12 to $0.28 depending on note length and library size. Prerequisites: a proposal template library with at least 10 scope blocks and five case study snippets, and a CRM with deal-level note capture.