Best Buy • Olo IPO • C.H. Robinson • 100+ Product Launches

The AI Revenue Playbooks Behind $1B at Best Buy — Yours From $29.

I spent a decade building AI revenue engines at Best Buy, Olo, and C.H. Robinson. Consultants charge millions for this thinking. I publish it as guides you can download in the next five minutes.

Not sure which one you need? Take the free Velocity Gap Diagnostic and find out in five minutes, or find the right guide.

Every guide starts with a problem

Which of these sounds like you?

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The Velocity Gap Framework

Diagnoses the eight organizational habits that stall AI work after a successful pilot, and gives a week-by-week plan to remove them.

See the guide, $29

"Edward is such a forward thinker, I swear he is living 5 years in the future and is just visiting us in the now."

Phil Britton • Director, Best Buy
Proven At Best Buy Olo (NYSE) C.H. Robinson Microsoft John Deere

As heard on The Enterprise Data Podcast, Oct 2026

The Problem

Your AI pilot worked beautifully. Then it stalled.

I've seen this pattern at every company I've worked with — from Fortune 100s to Series B startups. You've proven the concept. Leadership is excited. But somehow, that successful pilot never made it to production, and now you're defending a "cost center" budget instead of celebrating revenue impact.

The problem isn't execution anymore. Anthropic shipped a full product in 10 days with 4 people. Cursor went from $1M to $500M ARR. The bottleneck has moved to clarity, ambition, and distribution — but your organization's habits are still stuck protecting execution capacity. That's exactly what these playbooks fix — step by step, worksheet by worksheet.

Free • 5 minutes

How big is your Velocity Gap?

Score your organization on the 8 Friction Defaults that stall AI work after a successful pilot, and see which guide fits your result.

Take the free diagnostic

The Proof

Not theory — results from building AI revenue engines at three very different companies

Retail AI Fortune 100 • $40B Revenue

Built the $1B+ Personalization Engine

Best Buy — Head of Emerging Technologies & Data Products

$1B+
Revenue Generated
The Story: Vendors quoted $20-30M for 18-24 months. Built it for $3.2M in 90 days. Conversion rates improved from 1% to 17%.
The Playbook: This is the exact 90-day approach in The Velocity Gap guide — $29.
IPO Success NYSE: OLO

Architected IPO-Ready Data Infrastructure

Olo — Product Strategy Leadership

$3.6B
IPO Valuation
The Story: Built the data governance and product infrastructure that withstood public market due diligence. One of few CAIOs with IPO-proven architecture experience.
The Playbook: What public markets demand from your AI stack is in The Strategic Architect — $49.
Logistics AI North America's Largest • $15B Revenue

Zero-to-$150M Data-to-Revenue Transformation

C.H. Robinson — Data Advisor to CIO/COO

$150M
New Business
The Story: Started with zero data infrastructure. Built AI-powered logistics capabilities that won Microsoft and John Deere as customers—before the platform was even complete.
The Playbook: The Level 1 → Level 4 roadmap is in The Profit Center guide — $29.

What Leaders Say

"A mastermind at bringing digital technologies together with customer insights to identify and form high ROI digital strategies. I have never worked with someone with a better grasp on digital strategies than Edward."

RM
Ryan Macumber
Sr. Director Strategic Analytics, Best Buy

"The visionary behind 'Big Data' and 'Personalization' at Best Buy. That rare ability to not only envision what customers need but move from white piece of paper to completed product efficiently."

GO
Greg Olsen
Sr. Product Manager, Mattress Firm

"A true force-multiplier. He goes out to the people and finds the opportunities that other leaders never even considered. Passionate about exploration, research, and twisting problems into new perspectives."

RB
Ryan Blong
Supply Chain Director, Shipwell

One problem. One framework. One guide.

Every article, case study and guide on this site maps to a specific framework. The map shows how they connect, so you can start with the problem you actually have.

Which guide fits you? →   Explore the framework map

Frequently asked questions

What is the Velocity Gap Framework?

The Velocity Gap Framework, created by Edward Chenard, explains why enterprise AI projects fail. It identifies the gap between where the operational bottleneck has moved (clarity, ambition, distribution) and where organizational habits remain stuck (protecting execution capacity). The framework includes 8 Friction Defaults that block AI adoption and provides a diagnostic for escaping pilot purgatory in 90 days.

What is the Profit Center Framework?

The Profit Center Framework is a 4-level maturity model for data teams: Level 1 (Descriptive Reporting), Level 2 (Diagnostic Insights), Level 3 (Prescriptive Recommendations), and Level 4 (Direct Revenue Generation). Teams at Level 4 become untouchable because they generate direct revenue rather than being viewed as overhead.

What is Edward Chenard's IPO experience?

Edward Chenard built the data and product architecture that supported Olo's $3.6B IPO (NYSE: OLO). He is one of the few AI strategists with IPO-proven data governance experience, and his published guides distill that experience for teams preparing for public market scrutiny.

More answers on the FAQ page →

Edward Chenard

Questions? I Read Everything.

Edward Chenard

Not sure which guide fits your situation? Want a guide for your whole team? Have a question about applying a framework? Send a note — I answer personally.

edward@echenard.com
Minneapolis, MN — Works Globally

On the site: 7 implementation guides ($29–$49) • Free frameworks & interactive tools • Weekly strategy newsletter

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