How Meridian Consulting 3x'd their close rate in 90 days
Client
Meridian Consulting
Industry
Management Consulting
Size
12-person team
Timeline
90 days
Meridian Consulting was a 12-person management consulting firm generating $1.2M annually. Their proposal process was entirely manual — each consultant spent 8-12 hours per proposal with a 15% close rate. Leadership knew AI could help but didn't know where to start.
Three failed attempts at "adding AI" had burned $40K and left the team skeptical. Previous vendors had sold tools without understanding the consulting workflow. The team was stuck between wanting to modernize and fearing another expensive failure.
Ran a comprehensive AI Readiness Assessment using the Discovery Script — identified proposal generation as the highest-ROI automation candidate
Designed a phased implementation plan using the Architecture Script — starting with proposal automation, then expanding to client research and deliverable generation
Built a custom AI proposal pipeline: intake form → AI-generated first draft → consultant review → branded output. Reduced proposal time from 10 hours to 2 hours
Deployed the Optimization Script after 30 days — tracked close rates, proposal quality scores, and time savings to prove ROI and identify expansion opportunities
Close Rate
15% → 42%
Higher quality, faster proposals meant more at-bats and better targeting
Proposal Time
10hrs → 2hrs
80% reduction in time-to-proposal freed consultants for billable work
Revenue Impact
+$840K
Additional annual revenue from improved close rate and capacity
ROI
12x
First-year return on the total implementation investment
“We'd tried AI three times before and failed every time. The difference was having a systematic framework instead of just buying tools. In 90 days, our pipeline completely transformed.”
Sarah Chen
Managing Partner, Meridian Consulting
The key insight: AI implementation fails when you start with tools. It succeeds when you start with process. The Script Method gave Meridian a framework to identify the right problem first, then build the right solution — resulting in a sustainable competitive advantage rather than another shelfware purchase.
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