Decision intelligence for energy.
Companies selling into oil and gas rarely lose on product. They lose by reaching the wrong buyer with the wrong story, often after that buyer has already formed a view of them. Our work runs in three areas, and go-to-market comes first: it is what most clients hire us for.
One client: companies that sell into oil and gas.
Go-to-market for companies selling into oil and gas.
We research how operators actually choose suppliers, then build the market entry, the launch and the sales story around what we find. The practice dates to 2010 and rests on more than 300 commercialization interviews.
Where it starts: a conversation about the market you are trying to enter. There is no fixed package.
- Buyer-behavior research
- Market entry
- Product launch and positioning
- Verticalization
- Route-to-market validation
What buyers and AI assistants say about you.
Energy buyers now ask ChatGPT or Perplexity who belongs on a shortlist. We measure what those answers say about you and your competitors, trace each one to the sources behind it, and fix the sources with earned media in the trade press.
Where it starts: The AI Reputation Snapshot: a fixed-fee read of you and up to three competitors.
A record that holds up when an AI decision is questioned.
For operators whose AI use now reaches decisions a regulator, board or plaintiff could ask about. We document those decisions through Digital Information Governance®, our registered framework, and deliver the binder rather than a memo.
Where it starts: The 5-Day Governance Readiness Assessment: $5,000, five working days, a written gap report.
What we mean by decision intelligence for energy.
Decision intelligence usually names a category of software: platforms that model a choice and recommend an option. We do not sell one. For us the phrase means the evidence behind three decisions that settle whether a company selling into oil and gas wins, and each of our three areas works on one of them.
- The operator deciding whether to buy. Who evaluates a supplier, and what proof it takes to get past the people who can stop the deal. The research behind this goes back to 2010 and more than 300 commercialization interviews. The public part of it is how oil and gas companies buy.
- The shortlist formed before you are in the room. More energy buyers now ask ChatGPT or Perplexity who belongs on a shortlist. We measure what those answers say, and the Energy AI Visibility Index publishes that measurement across energy companies.
- The decisions AI now shapes inside your company. When an AI tool feeds a pricing or safety call, someone may later ask who signed off and on what evidence. AI decision governance builds the record that answers them.
Most clients need one of these, not all three.
The areas connect, but we do not sell them as a bundle. A software company entering midstream needs to know who buys and why. Whether it also needs AI governance depends on what its own customers start asking of it, and we will say so when the answer is not yet.
Where they meet is the buyer. The go-to-market research tells you who that buyer is. Visibility work makes sure the buyer has heard of you before the first call, because more of them now ask an AI assistant first. Governance matters once AI shapes the decisions you or your clients would have to defend.
How an engagement runs, step by step, is on how we do it. Who does the work is on who we are.
Tell us which decision is in front of you.
A 30-minute call. If the right answer sits in a different area, or with a different firm, we will tell you that on the call.