Frequently Asked Questions

Everything you need to know about the frameworks, the implementation guides, and the person behind them.

Common problems, and where to start

How do I get an AI pilot into production?

Pilots stall on organizational habits, not technology. The Velocity Gap Framework names eight of them — the Permission Loop, Polish Paralysis, Meeting Dependency, Structured Waiting, Planning Inversion, Deck Over Demo, Consensus Lock and Readiness Hoarding — and scores which ones are blocking you. Read the framework free, or take the free diagnostic; the $29 guide adds the scoring rubric, role-specific action plans and a week-by-week roadmap.

Read the free framework Take the free diagnostic The Velocity Gap guide — $29

How do I measure ROI on AI agents?

Stop counting the headcount an agent replaces and start counting what it generates. The Agent Yield approach builds a real P&L for the agent: revenue lines, five layers of total cost of ownership most companies underestimate, and decision gates between pilot and production. The free article covers the method; the $49 AI Agent P&L guide includes the full template and the weak-pitch/strong-pitch comparison that explains why most agent business cases get rejected.

Read the free framework The AI Agent P&L guide — $49

How do I get my data team out of cost-center status?

Move it through four maturity levels, from descriptive reporting to direct revenue generation. A team at level four is not cut, because cutting it removes revenue. The free article explains the model; the $29 Profit Center guide adds CFO-ready proof-point templates, revenue attribution frameworks and the political sequence for repositioning without triggering organizational antibodies.

Read the free framework The Profit Center guide — $29

How do I decide which AI projects to fund?

Split the portfolio into B1 (Break Even, table stakes), B2 (Break Through, 2–3x on a key metric) and B3 (Break Away, industry-defining). Most companies fund only B1 and then wonder why nothing changes. At Best Buy, $3.3M of a $10M budget went to the B3 bet and returned over $1B. The free article covers the categories; the $39 Break Away Advantage guide adds allocation models by org size and a 15-question scoring diagnostic.

Read the free framework The Break Away Advantage guide — $39

We built an AI tool and nobody uses it. What now?

Adoption failure is usually a design decision, not a training problem. Systems built as answer machines ask experts to defer to them; systems built to enhance judgment get used. The $29 Phronetic AI guide covers the three failure modes of the replacement approach, applications across medicine, law, finance and manufacturing, and a maturity assessment for redesigning something you have already shipped.

The Phronetic AI guide — $29 Not sure yet? Start with the free diagnostic

Is there a free version of any of this?

Yes, and it is most of the site. Every framework is published in full at /insights, there are six free calculators and assessments at /tools, and the Velocity Gap Diagnostic is a free scored self-assessment. The paid guides add what the articles leave out: worksheets, templates, week-by-week roadmaps and the expanded case studies.

Read the frameworks free Free tools Free diagnostic

About the Guides

What are the implementation guides?

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.

Which guide should I start with?

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

Can I buy the guides for my whole team?

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.

About the Frameworks

What is the Velocity Gap Framework?

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.

What is the Profit Center Framework?

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.

What is the B1/B2/B3 Innovation Framework?

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.

About Edward Chenard

Who is Edward Chenard?

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.

Has Edward led a company through an IPO?

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.

Why publish the frameworks instead of keeping them proprietary?

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.

Still Have Questions?

Email me directly — I answer every message personally.