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Case studies

Proof, not promises.
What changed for these clients.

Three operating systems, built and running, starting with mine. The bottleneck, the build, and the outcome. AI prepares the work; the human stays in control of what goes out.

01Propel + Flourish · Client zero

I was my own worst client

Every decision routed through me: every caption, every lead, every brief, every report. I was the bottleneck I now get paid to remove. So I built myself an operating team: four AI-enabled roles that run the repetitive work of my business and stop at my approval. Nothing sends on its own. The AI does the prep; the judgment stays human. That is the same guardrail I build into every client system.

Four AI rolesHuman approvesBuilt first, sold second
“I was the bottleneck. I built this to get out of my own way.”
Stephanie
Propel + Flourish · Client zero

The result

20+ hrs

Given back every week, on my own business — only what the system captured.

Decisions

All routed through mePrepared before they reach me

Mornings

Sharpest hour lost to triageOne ranked brief, waiting at 7am

Prospecting

Manual, skipped when busyRanked decision-makers, weekly
02Local service business · Content engine

From content chaos to a machine that runs

The owner picked out every photo and wrote every caption from scratch, with no calendar, no templates, and no plan. I installed a Content Engine: one session populates the whole month in Notion, Claude drafts each post by content type, and the owner approves before anything goes live.

Notion calendarClaude drafts by typeHuman approves
“This has saved me so much time. Now I’m actually posting consistently.”
Owner
Local service business client

The result

<2 hrs/mo

Content creation, down from 10–15 hours — with zero marketing team.

Content time

10–15 hrs/moUnder 2 hrs/mo

Posting

Inconsistent5 posts/week, every week

Planning

From scratch each time20+ posts pre-planned

Coverage

Ad hoc16 types × 4 funnel stages
03Multi-location franchise · Reporting

The monthly report, drafted by AI

Reporting ate 6–8 hours a month and started from a blank page every time. Now data is pulled from any social platform + CRM, Claude returns a full narrative draft with a spend recommendation, and the human reviews, approves, and delivers a client-ready deck.

PullRecordPrompt AIReviewDeliver
“This is exactly the report we’ve been wanting from our corporate marketing team to provide from the start.”
Franchise owner
Multi-location client

The result

<90 min

Monthly reporting across two territories, down from 6–8 hrs.

Time per report

6–8 hrsUnder 90 min

Delivery

Late or incompleteOn time, every cycle

Cost-per-lead

Often skippedIn every report

Narrative

Blank page each timeAI-drafted, human-owned

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The Founder Bottleneck Diagnostic is a 90-minute working session with your real workflows on the table. You leave with your bottlenecks mapped in hours, not hunches, and your three highest-leverage fixes in writing.