Proposal to Close: AI Proposals That Predict and Push Deals Over the Line

Most tech advisors write proposals the same way they’ve always done — manual, generic, and easy to ignore. In this episode Bob interviews a guest who built an AI-driven proposal and close-prediction system specifically for technology sellers. We teach an actionable, step-by-step approach: collect the minimum viable inputs that power personalization, embed pricing rules and margin guardrails, add a lightweight predictive model that scores close probability, and automate follow-up sequences based on score and buyer behavior. Listeners will get a feasible 30-day pilot plan they can run with existing CRM and document tools, scripts for higher-converting executive summaries, and a repeatable rollout checklist that preserves margins and compliance. This episode solves a real problem — too many proposals, too few closes — and moves advisors one concrete step closer to measurable revenue.