AI consulting firm or AI vendor? Follow the money.

A big consulting firm sends junior associates and hands you a strategy deck. A vendor sends sales engineers and hands you its product. The League puts one senior operator inside your team to get automations into production. The rest follows from how each one gets paid.

The payment model decides what a firm gets rewarded for, and the work drifts toward the reward. Nobody has to lie for that to happen. Warren Buffett, in his 2014 letter to Berkshire Hathaway shareholders: "Don't ask the barber whether you need a haircut."

Our incentive isn't neutral either. We want you to extend or hire on day 91. The only road there runs through automations already in production, which is what you wanted anyway.

A big firm is the right call when the job is much bigger than AI, or when the report itself is the deliverable.

• You're reorganizing a company across many countries and need dozens of people on it for months.
• Your regulator, auditor, or board wants a recognized name on the assessment. The signature is part of what you're buying.
• You're replacing a core system like your ERP, and most of the work is integration and project management at scale.

In those cases you're paying for a lot of hands, and hours are a fair way to count hands.

Buy straight from the vendor when you already know the problem and a product already solves it. Then anyone standing between you and the vendor is a tax.

• The use case is standard and the product was built for it, like transcribing meetings or drafting replies inside the help desk you already run.
• You need a support contract, uptime commitments, and a security review from the company that built the thing.

The hard part is knowing the problem. If you're not sure which tool fits, or which contract to avoid, our model and vendor selection work answers that before you sign.

The League is the right call when you know AI should be doing part of the work, but nobody can say which part. That's the gap where AI pilots stall: your leadership knows where the hours go but has no time to learn AI, and the people who know AI don't know where your hours go.

• You want automations in production, not a deck. The 90-Day Placement puts one senior operator inside your leadership team: 30 days to shadow, 30 to prove on your real data, 30 to ship.
• You want to own the result. Code, prompts, workflows, and documentation stay with your company.
• You want the tool picked for your problem, not for a seat count. We don't sell seats, so the operator picks whatever works best this month.
• You might want to keep the person. On day 91 you can hire the operator full-time.