Why mid-market keeps overpaying for AI strategy.
Five sales calls in the last six weeks. Different industries, different revenue bands, same conversation. The COO sits down, opens the laptop, and walks me through three slide decks they’ve already received from Big 4 advisory firms quoting $200K to $500K for an AI strategy and roadmap. The decks are professionally produced. The framework slides are clean. The case studies are real. The pricing footnotes are vague.
I ask the same question every time. “If you accept this proposal, who ships the system?”
Every time, the answer is some version of: “That’s a separate engagement.”
That is the arbitrage. The strategy deliverable is decoupled from the system that delivers the strategy’s outcomes. The firm that wrote the roadmap is not on the hook for the roadmap working. The firm that builds the system, if there is one, inherits a 60-page document with executive summaries and target architectures and a long list of recommended vendor evaluations, none of which describes a working system in enough detail to actually build it. The mid-market COO has paid a quarter-million dollars for a planning artifact that produces another procurement, which produces another planning artifact, which eventually — if the budget survives — produces a project.
This pattern is so consistent that I have started keeping track. Of the five companies I have sat with this quarter, four had paid for AI strategy decks. Two had paid for two separate AI strategy decks from different firms. One had paid for three. The average spend on strategy work before a single line of code was written was just over $340K. Across the five companies, total time elapsed from “we should do AI” to “we have AI in production” was zero days. None of them had production AI yet.
This essay is about why that pattern exists, why it persists, and what the arbitrage looks like for vendors who can both think and ship.
How the pattern got entrenched
The Big 4 advisory model was built for technology categories that are slow, expensive, and politically charged inside the buying organization. ERP migrations. Cloud adoption. Data warehouse rebuilds. In those categories, a six-month strategy engagement with a roadmap deliverable is a defensible spend, because the implementation will take 18 to 36 months and cost ten times the roadmap, and the strategy work materially de-risks the implementation. You pay for the planning artifact because the implementation downstream is so expensive that getting it 10% more right is worth seven figures.
The advisory firms ported that model to AI. The shape of the deliverable did not change. The shape of the implementation did. AI features in 2026 do not take 18 to 36 months to ship. A competent solo engineer on a modern stack can ship a customer-facing AI feature in two to six weeks. A small team can ship a multi-agent production system in a quarter. The implementation is now smaller than the strategy deliverable, in both time and cost, and the strategy work no longer de-risks the implementation because the implementation is short enough that you can just try it and see what happens.
This is the inversion the advisory firms have not adjusted to. When the implementation is the slow expensive thing, planning is a good investment. When the implementation is the fast cheap thing, planning is just a tax. The mid-market COOs paying $340K for strategy decks are paying the tax without realizing the underlying physics of the project category has changed.
The reason the advisory firms have not adjusted is straightforward. Their cost structure is partners, principals, and a leverage pyramid of analysts. That cost structure requires high-margin advisory engagements to function. A two-week build engagement does not feed the pyramid. The economic incentive of the firm is to keep selling the deliverable shape that matches the cost structure, even when the deliverable shape no longer matches the project category. This is not malice. It is gravity. Firms cannot easily restructure themselves away from the engagement shape that pays for their offices.
What the mid-market actually needs
The COO calls I’ve been on are not asking for thought leadership. They are asking for two things, and they often don’t have language for the second one because the advisory pitch has trained them to ask for the first.
The thing they ask for: “We need a strategy for AI in our business.”
The thing they actually need: a working AI feature, shipped to production, in a part of their business where the value is observable to a non-technical executive inside one quarter, with a clean handover model so they can iterate on it without paying a vendor in perpetuity.
The first ask is what a Big 4 deck answers. The second ask is what nobody is bidding against, because the advisory firms can’t, and the integrators are still pricing 12-month staff-augmentation engagements that don’t match the new physics either.
The arbitrage is that there is a $50K to $150K engagement shape — fixed scope, working deliverable, four to eight weeks, clean IP transfer — that satisfies the COO’s actual need and does not exist in the market as a standard offering. The vendors who could deliver it are mostly small specialty shops that don’t have a sales motion to reach the mid-market COO. The mid-market COO doesn’t know to ask for it, because the inbound pitches they receive are uniformly the advisory model.
Closing the gap is the work. The firm that builds a repeatable motion for “executive identifies the business outcome, vendor ships the system in six weeks at fixed price, agency keeps the code” captures a wedge that the existing advisory market cannot price against without restructuring itself.
The cost-of-delay nobody calculates
Here is the part of the conversation I have started forcing onto every COO call, because it changes the decision frame in a way most of them haven’t internalized.
The $340K average strategy spend is not the real cost. The real cost is the six to nine months the strategy engagement consumes before any AI ships, during which the company is operating without the AI feature that the strategy is recommending. If the recommended AI feature would have produced $100K/month in margin or savings or pipeline acceleration, the company has left $600K to $900K on the table while they paid $340K to plan the thing. The strategy work cost a million dollars in real money, not $340K, once you account for what the company didn’t ship while they were getting strategized.
This argument lands hard with COOs who are graded on quarterly numbers, and it lands soft with COOs who are graded on multi-year transformation initiatives. The mid-market COOs I’m calling on are mostly graded on quarterly numbers. Which is why the pitch I’m running closes more often than it should: I’m pricing against the cost of delay, and the advisory firms are pricing against the planning artifact.
What this looks like from the buying side
If you are a mid-market executive reading this, the questions to ask any AI advisory vendor pitching you in 2026 are short and direct:
What working AI feature do you ship as part of this engagement, and to what level of production-readiness? If the answer is “we don’t, we recommend who you should buy from,” you are buying a planning artifact, and you should price it as such — meaning, against the planning artifacts you can get from other vendors, not against the value of the system that will eventually exist.
How much of the engagement budget is spent on partners, principals, and senior advisors versus on the engineers who would actually build the system? If the ratio is heavily weighted to the advisory side, you are paying for the cost structure, not the deliverable.
What does the handover look like at the end? If the answer involves perpetual vendor dependency, ongoing managed services contracts, or “we’ll have a team embedded for the next 18 months,” the engagement is structured around the vendor’s revenue continuity, not around your operational independence.
What is the cost-of-delay calculation for the recommended AI feature, and how does the engagement timeline compare? If the vendor cannot calculate the cost of delay, they are not engaged in the conversation that matters to your P&L.
If the answers to those four questions don’t satisfy you, the engagement is mispriced for the work you actually need done. Push back. Or move on.
Where I think this lands
The advisory firms are going to continue selling six-month strategy engagements at $200K to $500K for at least the next 18 months, because the inbound demand is real, the partners are well-compensated, and the COOs paying for the decks are mostly satisfied with the engagement experience even when the deliverable is not a working system. The market will not correct on its own. It corrects when a critical mass of mid-market executives compare their AI strategy spend against the AI features that actually shipped over the same period and start asking harder questions.
That moment is coming. Probably 2027. Possibly sooner if the macroeconomic environment tightens and CFOs start auditing advisory spend more aggressively.
Until then, the arbitrage is open. The vendors that can think and ship — that can sit in a COO conversation as a peer, identify the right first project, scope it tightly, price it as a fixed deliverable, and put working AI in production inside one quarter — are going to capture the mid-market AI work that the advisory firms can’t structurally win. The window is the next 18 months. It closes when the advisory firms restructure or the COOs reset their expectations, whichever happens first.
Both of those changes are slower than the engagement cycle. Which is the whole point.