In late 2025, medical device manufacturer Zimmer Biomet sued Deloitte for $172 million over a failed software implementation. Not a disputed strategy. Not a disagreement over direction. A failed delivery — paid for by the hour, with no contractual link between the fee and the result.
That lawsuit should be required reading for every executive who's about to sign a consulting engagement.
The mismatch no one's talking about
The Big Four and major strategy houses have poured over $10 billion into AI since 2023. PwC became OpenAI's largest enterprise customer. KPMG committed $2 billion in a Microsoft partnership. Accenture reported $22.1 billion in new bookings in Q2 of its 2026 fiscal year. The investment is real.
But here's the part that doesn't make it into the press releases: most of that investment went inward. Firms equipped their own teams with knowledge tools, automated internal research, and accelerated their analysts' workflows. The productivity gains stayed inside the firm. The billing model stayed the same.
A task that used to take a junior team three weeks now takes three days. The client still gets invoiced for the original timeline.
This isn't a conspiracy — it's a structural incentive problem. When your revenue model is built on hours and headcount, every efficiency gain is a margin improvement for the firm, not a cost reduction for the client. There's no mechanism to pass the value through.
Clients are starting to see it
The Zimmer Biomet case isn't an outlier. It's the most visible example of a pattern that's been building across industries. Clients are asking harder questions: If AI can reduce your analysis timeline from weeks to days, why hasn't my fee changed? If your team is half the size it was, why is my bill the same?
According to a recent AlphaSense report, the consulting industry is in the middle of a structural transformation. Clients aren't looking for recommendations any more — they expect partners who can implement solutions and drive measurable business results at speed. A separate Deltek survey found that 73% of clients now expect real-time visibility into project status and performance. Transparency has shifted from differentiator to baseline.
And some companies are bypassing consulting firms altogether. Tech-savvy enterprises are building internal AI capabilities rather than paying for external teams. The logic is straightforward: if an off-the-shelf AI tool and two internal analysts can do what a consulting team did, faster and at a fraction of the cost, why wouldn't you?
The boutique advantage is real — but only with the right model
This shift isn't just a win for small firms by default. Boutique consultancies that still bill hourly face the same structural problem as the Big Four — they just have lower overhead.
The firms gaining traction are the ones that have restructured around outcomes. Fixed-scope, fixed-fee engagements where the deliverable is a working system, not a strategy document. Where the contract specifies what gets delivered and what business result it ties to — and the provider carries the execution risk.
"Services are the new software" — the most compelling AI businesses don't sell tools or time. They sell outcomes.
— Sequoia Capital
It changes the incentive structure completely. When your fee is tied to a defined result, every efficiency gain — every AI workflow you build, every automation that compresses a timeline — directly improves your margin and delivers more value to the client. The interests align instead of competing.
What this means for buyers
If you're evaluating an AI engagement in 2026, here are three questions worth asking before you sign:
Is the fee tied to deliverables, or to time?
If it's the latter, you're absorbing the provider's efficiency risk — and funding their AI investment with your budget.
Does the engagement end with a working system, or a document?
The industry is moving from PDF deliverables to production systems. A trained model, a redesigned process, an operational workflow — these are what "delivery" looks like now.
Who carries the risk if the project doesn't deliver?
In an outcome-based model, the provider has a contractual stake in the result. In a time-and-materials model, the only guarantee is that the team showed up.
Where this is heading
The consulting industry isn't going away. The expertise is real, and the need for external perspective isn't diminishing. What's changing is how that expertise gets delivered and priced.
The firms that will define the next decade are the ones that restructure around what clients actually need: defined outcomes, delivered efficiently, with commercial models that align provider incentives with client results. The firms that keep selling the old pyramid — expensive teams, hourly billing, strategy decks — will find themselves competing against internal teams, AI tools, and outcome-based providers simultaneously.
The $172 million lawsuit isn't the end of consulting. It's the end of consulting that can't demonstrate what it delivered.
At Tellefsen, every engagement is structured around fixed outcomes and AI-native delivery. If you're exploring what an outcome-based AI engagement looks like, we'd welcome that conversation.
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