Per-token prices are falling. Total AI spend is compounding. The gap between those two lines is the Inference Trap — and by the time the bill is visible, the dependence is structural. Fortalize helps CEOs and CFOs govern three things as one decision: cost, value alignment, and sovereignty.
Every enterprise is optimizing for one variable and losing on three. The number leaders watch — per-token price — is falling, so they conclude AI is getting cheaper and safer to lean on. But the decision that matters isn't cost alone. It's a balance of what you spend, whether the deployment still serves your mission, and whether you keep the option to change course.
The Inference Trap has two jaws.
Compute priced below its true long-run cost. Cheap inference isn't a gift; it's an acquisition strategy — and enterprises are architecting core operations around a subsidy that isn't priced to last.
As the unit gets cheaper, you use dramatically more. Every efficiency gain is reinvested into more agents, more calls, more context — so total spend compounds past the falling price, in ways current tools and skills can't govern.
We've seen this movie. Two decades in cloud infrastructure taught our founders exactly how consumption pricing plus weak governance ends: runaway bills, surprise overages, and a repatriation wave as companies clawed back workloads and control they'd given away. The AI version runs ten times faster — because this time the consumption isn't infrastructure you provisioned deliberately. It's tokens that multiply on their own.
There's a second cost that never shows up on the bill. The promise of AI was a centaur: a human augmented by a machine, firmly in charge. The trap delivers the inverse — your people serving the model. Feeding it context. Cleaning up its output. Carrying its liability. Reorganizing the work around its appetite.
No one decides to deprioritize the mission. The dependency decides. — after Cory Doctorow's “reverse centaur”
An organization can quietly restructure itself to serve the tool instead of the purpose it was built for. Runaway spend is the financial face of the Inference Trap. The reverse centaur is its human face.
Most enterprises optimize for one variable and lose on three. We help leadership teams weigh them together — before the bets harden.
Not the sticker price. We model total consumption trajectories — agents, tokens, workflows — against subsidy repricing risk, so falling unit prices stop masking exploding total cost.
We test whether your AI is making centaurs or reverse centaurs of your teams — and whether the work is being reshaped around the tool's appetite instead of your strategy.
Every dependency you let harden — one provider, one model, one pricing regime you can't leave — is optionality you've spent. We help you preserve the ability to switch, repatriate, or say no.
Fortalize works with CEOs, CFOs, and boards — the people accountable when the AI strategy hardens into structure. Typical engagements start from one of three questions:
If one of those sounds familiar, the conversation is worth having a quarter earlier than feels necessary. Our real competitor isn't another firm — it's the default of doing nothing until the invoice arrives.
We pressure-test AI strategy before bets harden. No tool to sell, no implementation army to keep billing — the engagement is the argument, the evidence, and the decisions it unlocks.
Leadership and board briefings on the Inference Trap, the reverse centaur, and the three-lens framework — a shared language for treating AI as a governed bet, not an IT line item.
A structured review of your AI cost trajectory, dependency map, and alignment posture. Outcome: a clear read on where the gravity is pulling, and the three questions your next budget review must answer.
Standing counsel to CEOs, CFOs, and boards as deployments scale — keeping cost, alignment, and sovereignty weighed as one decision, quarter after quarter.
Fortalize is in its exploration phase, and we're deliberate about that. We're validating this thesis with operators and leaders before scaling the practice — the same discipline we ask of clients. Early engagements are scoped with design partners. Candid challenge welcome.
Eric Ries's Incorruptible makes a claim every founder should sit with: good companies don't go bad because bad people take over. They go bad structurally — ownership, incentives, and dependencies quietly reshape behavior until the mission bends. He calls it financial gravity. Our thesis is that AI dependence is a new vector for that same force.
So we're holding ourselves to the standard we advise. We're building Fortalize on mission-controlled governance foundations — the Incorruptible design principles, B Corp-style accountability — so that our incentives cannot drift from the clients we serve.
An advisor whose own structure resists financial gravity is an advisor you can trust with yours.
What does your AI strategy cost you in dollars, mission, and optionality? If your board hasn't asked yet, it will. Let's get you the answer first.
We'll be in touch within one business day to schedule the conversation.