Boutiques pitched for AI work

Don Finley argued that boutiques are often preferred for AI implementations because they bring senior expertise, speed and 'skin‑in‑the‑game' rather than broad coverage. The post emphasised senior‑led execution as a competitive angle. (x.com)

A debate over who should build corporate artificial intelligence systems is moving into public view, with product agency founder Don Finley arguing that smaller firms often win the work. (x.com) Finley’s post said clients buying artificial intelligence implementation care less about broad service menus than about senior operators, faster delivery, and what he called “skin-in-the-game.” His firm, FINdustries, says it has worked on product development and artificial intelligence implementation since the company’s 2013 founding. (x.com) (findustries.co) That argument lands in a market where the largest consulting groups are already collecting billions of dollars from artificial intelligence work. Accenture said in September 2025 that its advanced artificial intelligence revenue reached $2.7 billion in fiscal 2025 and bookings hit $5.9 billion. (crn.com) Boston Consulting Group told the Financial Times in April 2024 that it expected artificial intelligence consulting to supply 20 percent of 2024 revenue and 40 percent by 2026. The firm said companies were moving from experiments to “at-scale deployment.” (europeantech.news) The split Finley is pointing to is between strategy-heavy consulting and hands-on delivery. In artificial intelligence projects, that usually means deciding whether a client needs a large firm that can cover governance, compliance, and change management across departments, or a smaller team that puts senior builders directly on the job. (crn.com) (marketingaiinstitute.com) That choice has become more urgent as companies try to push artificial intelligence beyond pilots. Deloitte said in its 2024 year-end enterprise survey that organizations were still facing a “speed limit,” with regulation and risk rising as barriers while companies tried to move from proofs of concept to large-scale deployment. (deloitte.com) McKinsey’s 2024 global survey, as summarized by Purdue Business, found 65 percent of respondents said their organizations were regularly using generative artificial intelligence in at least one business function. The same summary said companies were reporting cost reductions and revenue gains, especially in customer service and data-heavy work. (business.purdue.edu) Big firms argue that scale is the point. Accenture chief executive Julie Sweet said in September 2025 that clients “cannot build all of this expertise on their own,” and the company said it had trained more than 550,000 employees in generative artificial intelligence fundamentals and delivered more than 6,000 advanced artificial intelligence projects in fiscal 2025. (crn.com) Boutiques make the opposite pitch: fewer layers, more senior attention, and tighter accountability when a model has to work inside a real product or workflow. Finley’s post did not include client data or win rates, but it captured a live fault line in the artificial intelligence services market as companies decide whether they are buying coverage or execution. (x.com)

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