Enterprise Systems
That Outlast
the Initiative

Fifteen years designing the operating infrastructure that lets large, complex organizations scale without losing execution quality. At Amazon, that meant billions in revenue. Everywhere else, it meant the same thing: a system that runs after you leave the room.

$3.51B
Tentpole revenue 2024 (+19.7% YoY)
500
Whole Foods stores on new operating model
5 wks
Zero to full global adoption
23%
YoY total program growth, Prime Day 2024
Michael D. Moore

Core Capabilities

Operating Model Design Program Governance Zero-to-One Execution Enablement Architecture AI-Enabled Workflow Integration Mechanism Design
About

I step into environments where execution is inconsistent and design the operating systems that fix it.

Across Amazon Ads, Whole Foods, L'Oreal, and Saka One, the pattern is consistent: diagnose where execution breaks down, create the mechanism, install the cadence, and make performance repeatable.

My work spans operating model design, program governance, enablement architecture, and AI-enabled workflow systems. The through line is simple: I turn fragmented execution into systems people keep using after the initiative ends.

Case Studies

Three Systems. Measurable Scale.

Each engagement started with fragmentation. Each ended with a governed operating system that outlasted the initiative.

Additional Proof Points 6 engagements

Amazon Restaurants (City Manager scope)

Pilot Authorship and Metro Strategy

3 pilots

Onboarding, Hotel, Apartment proposals

  • 15-module CM Training Leone v4 curriculum
  • 38 to 10 day cycle time reduction proposed
  • Q1 2017 Metro Strategy Doc authored

Amazon Fulfillment OAK4

Inbound and ICQA Operations

11 promos

In 3 months. Team Leader pipeline.

  • 15% stow rate gain (265 to 290 units/hr)
  • ICQA Standard Work 1.0 + PSolver v1/v2/v3
  • 300+ associates across IB Round 2 and Round 3

MDM Enterprises, LLC (DBA Dormroom Deliveries)

Pre-Platform Restaurant Delivery

2006-2009

Before DoorDash, Postmates, Uber Eats

  • Real LLC, QuickBooks, signed Commission Agreements
  • $1M+ annual revenue, ~3,000 student customers
  • Year-end report authored at age 22

Amazon Franchise Operations

Network Playbook Design

$3M+

Quarterly incremental revenue

  • 40 franchise partners scaled
  • 20% defect reduction across network
  • Playbook adopted org-wide from scratch

LCS Academy

Enablement Redesign

8 wks to 5

Ramp time, 100+ account managers

  • Live participation 50% to 85%
  • Curriculum expanded 30% to 40 modules
  • 90%+ satisfaction across six cohorts

Rocket Learning

Sales Infrastructure Design

90%

Win rate on competitive bids

  • $15M+ in contracts closed
  • 33% market share growth in 18 months
  • Sales infrastructure and playbook designed from zero
Track Record

How the Work Gets Described

Observed patterns across six years of cross-functional environments, enterprise programs, and people leadership at Amazon scale.

Sees the system, not just the problem

The feedback that recurs most consistently is the ability to operate at two altitudes simultaneously. Diagnose root causes at ground level, architect solutions that hold at scale. Multiple stakeholders across years independently landed on the same observation.

"His capacity to navigate controversial waters, find alignment between teams, and bring new insights to the table is impressive, allowing key initiatives to move from ideation to implementation."

Installs systems that run without him

The consistent theme across programs is not delivery. It is durability. From Whole Foods inventory operations to global Tentpole governance, what peers and managers noted year after year was not that the work was completed. It was that the work kept producing.

"His talent for taking ownership and scaling solutions across teams was instrumental in addressing challenges during leadout phases, successfully incorporating these approaches into the broader GTM strategy."

Earns the trust that makes cross-functional work move

The most commercially relevant signal in the reviews is how he operates in environments where authority is distributed. Working relationships across product, retail, sales, and engineering earned over time, and those relationships become the mechanism for execution.

"He was able to serve as the trusted expert in his space that stakeholders went to when they had questions. A top-notch partner who can go deep, while also thinking big and strategically at the same time."

Translates leadership intent into executable systems

The clearest signal from direct reports and leadership alike is clarity under ambiguity. Where others see competing priorities, he sees a sequencing problem. Where others see blocked initiatives, he sees the path through the org chart.

"He excels at breaking down challenges, translating leadership directives into clear, prioritized goals, and instilling a culture of accountability."

Observed across enterprise retail integration, global advertising programs, cross-functional product and operations, and people leadership at Amazon scale.

Six years of formal review signal across multiple organizations

AI Systems

AI-Enabled Execution Systems

I use AI to improve speed, visibility, intake, triage, and decision quality. The work is not experimentation. It is operating system design with better tools.

In Development · 2026

Project Bridge

Scholarship Navigator · Student Readiness Platform

A counselor-led readiness platform that helps high school students build scholarship profiles before deadline pressure hits. The Claude API extraction and gap diagnostic layer is active today; the Vapi voice-first intake architecture is planned for phase 3 (manual form is the current intake path).

Claude API (active) Next.js Supabase Vercel Vapi (phase 3 planned)
In Development · 2026

BUILD Coach

AI Sales Reinforcement Layer

The AI coaching layer for a field sales training system. Trained on proprietary pattern recognition and scenario logic. Fills the dead zones: the truck before the call, the parking lot, the debrief that never happens because the manager is not there.

Claude API Structured Prompting Pattern Library
Saka One

Operator-Led Venture Portfolio

Current operator range. Three active AI-native builds in 2026, applying the same operating system discipline at smaller scale.

Saka One · V1 Designed (Pre-Launch)

Keppa

4 components

AI receptionist orchestration architecture

  • AI agent + whisper transfer + intake + digest
  • Capability-as-a-Service across 3 families
  • 5 critical unknowns documented as V1 bets

Saka One · V1 Doctrine

BUILD Coach

5 stages

AI sales reinforcement w/ partner

  • Begin, Understand, Improve, Lock In, Deliver
  • Pattern library trained on lived sales experience
  • SOTO walkthrough, Deposit Finder, Stuck Deal Recovery

Saka One · MVP Build

Project Bridge

Aug 2026

Scholarship readiness platform pilot

  • Claude API extraction active. Vapi voice intake planned phase 3.
  • Counselor dashboard for cohort visibility
  • Charter network pilot in Northern California
Where This Work Applies

These systems are deployed in environments where execution breaks down across teams, functions, or markets and no single group owns the full outcome.

Principal Program Manager

Cross-functional execution, operating cadence, initiative governance

Business Operations / Strategy & Operations

Decision systems, accountability structures, executive visibility

Transformation / Special Projects

Zero-to-one operating model design in fragmented environments

Director GTM Operations / Revenue Operations

Pitch coverage governance, sales execution mechanism, deal planning cadence, close rate transformation

Principal AI Adoption / Workflow Transformation

AI-enabled workflow design, agentic architecture with human in the loop, confidence scoring, enterprise adoption

This is ownership of execution systems and outcomes, not advisory support.

Contact

I design operating systems that keep teams executing after I leave the room.

If the work requires executive clarity, cross-functional alignment, and ground-level execution, this is the lane I operate in.