Frequently Asked Questions

Q: What are Edward Chenard's implementation guides?

The implementation guides are downloadable PDF playbooks ($29-$49) that turn Edward Chenard's published AI frameworks into step-by-step action plans. Each guide includes self-assessment worksheets, templates, and week-by-week implementation roadmaps. There are 7 guides covering the Velocity Gap, Profit Center, B1/B2/B3, So What, Phronetic AI, AI Agent P&L, and the comprehensive Strategic Architect (the CFO's guide to AI).

Q: Which guide should I start with?

Start with the guide that matches your current problem. If AI pilots stall before production, start with The Velocity Gap ($29). If your data team is treated as a cost center, start with The Profit Center ($29). If you can't decide which AI bets to prioritize, start with The Break Away Advantage ($39). If you need the full board-level picture including compliance and a 100-day roadmap, The Strategic Architect ($49) is the most comprehensive.

Q: 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.

Q: 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.

Q: What is the B1/B2/B3 Innovation Framework?

The B1/B2/B3 Innovation Framework categorizes AI initiatives into three types: Break Even (table stakes that keep you competitive), Break Through (initiatives that create competitive edge), and Break Away (industry-defining bets). It provides a categorization matrix and resource allocation model for balancing an AI innovation portfolio.

Q: Who is Edward Chenard?

Edward Chenard is an AI revenue strategist based in Minneapolis, Minnesota. He built Best Buy's personalization platform which generated over $1 billion in revenue, architected the data infrastructure behind Olo's $3.6B IPO (NYSE: OLO), and drove $150M in new business at C.H. Robinson. He has led data organizations of 300+ people, launched over 100 data products, and now publishes his frameworks as implementation guides.

Q: Can I buy the guides for my whole team?

Yes. For team or company-wide licensing of the guides, email edward@echenard.com with the guide(s) you want and your team size.

Question 1

What are the implementation guides?

Answer

Downloadable PDF playbooks that turn the frameworks into step-by-step action plans. The free articles on this site teach the concepts; the guides give you the tools to execute. Every guide includes:

• Self-assessment worksheets to diagnose where you stand
• Week-by-week implementation roadmaps
• Templates and scripts you can use in your next meeting
• Instant PDF download after purchase

There are 7 guides, priced $29–$49. Browse them all here.

Question 2

Which guide should I start with?

Answer

Start with the guide that matches the problem keeping you up at night:

• "Our AI pilots never reach production" → The Velocity Gap ($29)
• "Our data team is treated as overhead" → The Profit Center ($29)
• "We don't know which AI bets to prioritize" → The Break Away Advantage ($39)
• "Leadership dismisses our reporting" → The So What Framework ($39)
• "We need to measure what AI agents actually generate" → The AI Agent P&L ($49)
• "We need the full board-level picture" → The Strategic Architect ($49)

Question 3

Can I buy the guides for my whole team?

Answer

Yes. For team or company-wide licensing, email edward@echenard.com with the guide(s) you want and your team size, and I'll set it up.

Question 4

What is the Velocity Gap Framework?

Answer

The Velocity Gap Framework explains why enterprise AI projects stall. 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 a diagnostic for escaping pilot purgatory in 90 days. Read the full framework free, or get the implementation guide.

Question 5

What is the Profit Center Framework?

Answer

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. Read the full framework free, or get the implementation guide.

Question 6

What is the B1/B2/B3 Innovation Framework?

Answer

A portfolio framework that categorizes AI initiatives into three types: Break Even (table stakes that keep you competitive), Break Through (initiatives that create competitive edge), and Break Away (industry-defining bets). It includes a categorization matrix and resource allocation model for balancing an innovation portfolio. Read the full framework free, or get the implementation guide.

Question 7

Who is Edward Chenard?

Answer

An AI revenue strategist based in Minneapolis, Minnesota, with over $1 billion in revenue generated through AI and data products. The frameworks on this site come from that work:

• Best Buy (Head of Emerging Technologies & Data Products): Built the personalization platform generating $1B+ revenue — for $3.2M vs $20-30M vendor quotes.
• Olo (Product Strategy Leadership): Architected the data infrastructure behind the $3.6B IPO (NYSE: OLO).
• C.H. Robinson (Data Advisor to CIO/COO): Generated $150M in new business and built a 45-person data organization from zero.

He has led data organizations of 300+ people and launched over 100 data products to production. Full background here.

Question 8

Has Edward led a company through an IPO?

Answer

Yes. I led product strategy for Olo's $3.6B IPO (NYSE: OLO), building the data and product infrastructure that withstood public market due diligence. That experience shapes the guides — especially The Strategic Architect, which covers what public markets demand from a company's AI stack.

Question 9

Why publish the frameworks instead of keeping them proprietary?

Answer

Because the thinking scales better on paper than in meetings. I spent a decade applying these frameworks inside a handful of companies at a time. Published as guides, the same playbooks can help thousands of teams — and you get them for the price of a business book instead of an enterprise engagement.