Foundation & vision
Set business outcomes before choosing models, and give your leadership team a shared language for AI.
THE ENERGY LEADER’S FIELD GUIDE
Choose the right use cases. Build a credible roadmap. Give your team the confidence to move from AI experiments to everyday value.
Free hardcover · $9.99 USA shipping · Amazon for international & Kindle ↗

Oil & gas
Utilities & power
Renewables
Energy services
START WITH A BETTER QUESTION
You don’t need another AI prediction. You need a useful next step. Start wherever your team is today.
Compare six energy workflows, the data they need, and what success should look like.
Explore the use cases 02 / ASSESSAssess six dimensions of AI readiness. Get a practical discussion guide for your team.
Check your readiness 03 / ACTSet an owner, a baseline, and a decision gate before committing to a larger rollout.
Build your pilot planWhat you will actually use
A practical reading path through business priorities, technical choices, and responsible implementation.
Set business outcomes before choosing models, and give your leadership team a shared language for AI.
Score initiatives on impact, feasibility, and data readiness so the board sees a ranked backlog — not a wishlist.
A 6-week pilot motion, then the people, platform, and change work required to industrialize winners.
When to use RAG, fine-tuning, Text-to-SQL, agents, or a blended stack — in energy language, not vendor slides.
Safety, reliability, and governance for high-stakes operations — including when not to use generative AI.
Seismic interpretation, well planning, midstream ops, refining, retail, and grid / customer operations.
OPEN THE BOOK
Explore an excerpt on the book’s purpose and practical frameworks. No form, no waiting for an email.
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A physical reference for your next strategy session: use-case selection, architecture, governance, and a path from pilot to scale.
"This book provides the clarity energy executives need to move from AI experimentation to transformation. A must-read for anyone serious about GenAI strategy."
— Energy Sector Executive
Six questions to start a better team discussion. Rate your current capabilities and get suggested next steps. No account or email required. This self-assessment is a planning aid, not a deployment certification.
Accelerate your strategy sessions with these ready-to-use Google Doc templates based on the frameworks in the book. Click to view the document.
Systematically score and rank potential AI initiatives based on business impact, feasibility, and strategic alignment using a weighted decision framework.
Get TemplateEvaluate whether to build, buy, or extend AI capabilities by comparing options against critical factors like cost, speed, data control, and competitive differentiation.
Get TemplateEnsure responsible AI deployment with this checklist covering key principles like transparency, fairness, accountability, security, and privacy.
Get TemplateObjectively score and compare potential AI vendors on technology, security, support, cost, and viability to select the right long-term partner.
Get TemplatePractical templates and prompts to turn strategy into action.
Use this with your favorite LLM to turn the templates into a plan:
You are an enterprise GenAI strategist. Using the attached one‑pager and pilot charter, do the following: 1) Validate the value hypothesis and call out assumptions. 2) Propose the best model approach (RAG, fine‑tune, or blended) with reasons. 3) List the top 5 risks and the controls to mitigate each. 4) Draft a 6‑week pilot plan with weekly milestones and KPIs. 5) Suggest a scale plan if KPIs are met, noting governance and platform needs.
PUT YOUR IDEAS TO WORK
Talk through your use case, readiness gaps, or pilot plan with an expert. A complimentary 30-minute conversation to make the next step clearer.
Prefer email? info@aienergyleaders.com
Shipping, who the book is for, and how the tools work.
Yes. The book is free. You pay $9.99 shipping within the USA. No subscription and no recurring charge.
Energy executives, CTOs, innovation leaders, and operators in oil & gas, utilities, and renewables who need a practical GenAI strategy — not another hype briefing.
200+ pages covering 14+ energy use cases, use-case prioritization, build vs. buy, RAG vs. fine-tune vs. agents, trusted AI governance, and a pilot-to-scale roadmap.
Orders are processed in 3–4 business days. USPS typically takes 7–14 days in the USA. Tracking is emailed when it ships.
The $9.99 hardcover offer is USA only. International readers can order on Amazon.
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Open executive templates, the readiness self-assessment, a starter prompt, and a complimentary 30-minute conversation. You can explore the resources before ordering.
Yes. Email info@aienergyleaders.com for bulk pricing and multiple ship-to addresses.
Ask about the book, bulk orders, or your next AI initiative.