Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
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The agency world is experiencing a parallel but distinct transformation, driven less by internal efficiency and more by a fundamental shift in what clients are willing to buy.
WPP, the world’s largest advertising agency group, is the most visible case study. In September 2025, the company named Cindy Rose as CEO. Rose came from Microsoft, where she served as COO of Global Enterprise. She inherited a company in trouble. WPP’s full-year 2025 revenue of £13.55 billion was down 8.1 percent year-over-year, and its top 25 clients reduced spending by 4.1 percent. Rose’s response was to announce Elevate28, a plan to transform WPP into “a simpler, lower-cost, AI-enabled business,” targeting £500 million in annual savings by 2028.
The agency holding company model that generated decades of growth through headcount-scaled creative and media services is contracting.
WPP’s bet centers on an agentic platform called WPP Open. The company spent $400 million on AI in 2025, roughly 3 percent of net sales, up from $300 million in 2024. CTO Stephan Pretorius has stated publicly that the number will continue to increase. In January 2026, WPP launched Agent Hub, a suite of AI agents built on WPP Open that codify decades of proprietary data and institutional knowledge into agentic systems available to all 100,000 employees and, increasingly, to clients directly.
The agents include a Brand Analytics Agent with access to 30 years of WPP’s Brand Asset Valuator data, a Behavioural Science Agent that applies Ogilvy’s frameworks, and Creative Brain, an ideation agent channeling what WPP describes as 150 years of creative intelligence.
This is the harness argument in action at industrial scale. WPP is encoding its institutional memory into agentic systems that can deliver at machine speed what used to require teams of people working for weeks. As Pretorius told tipsheet.ai in January 2026, clients are no longer buying people. They are buying a combination of people and technology. Very often, what WPP sells clients is outputs and outcomes, not time.
That shift deserves emphasis, because it represents a fundamental change in the commercial model of agency services. WPP is explicitly moving from selling labor to selling results, a transition that changes everything about how the business is priced, how margins are structured, and where competitive advantage lies.
Rose herself has described the market transformation in terms that any services firm leader should find sobering. All the old barriers that protected established brands are gone. Creators and influencers have reshaped consumer preference and can launch brands in an instant. Media is everywhere. Commerce is the new organizing principle. Every interaction is shoppable, and we are rapidly shifting to agented commerce where AI agents do the shopping on our behalf.
That is the language of structural disruption, spoken by the CEO of the world’s largest agency.
While the giants invest in platforms and the agencies restructure around them, one firm stands out for having most explicitly executed the business model transition that the rest of the industry is still debating.
Globant, the Argentina-founded digital services company with 30,000 employees and $2.5 billion in trailing twelve-month revenue, launched AI Pods in 2025, a subscription-based delivery model that represents a fundamental departure from how technology services have been sold for decades. CEO and co-founder Martin Migoya described the shift in terms that capture its significance: for the first time in 22 years, his company can scale without simply hiring more people.
AI Pods are modular, subscription-priced packages that combine autonomous AI agents with human oversight to deliver software development and digital transformation services. Instead of selling hours and hoping to estimate scope correctly, clients pay a monthly subscription. Behind the scenes, AI agents handle product definition, code generation, and testing, all supervised by human experts who ensure quality and context.
The model directly addresses what Migoya identified as one of the industry’s most persistent problems: companies in general have a very large problem defining perfect scopes. Scopes are variable, change constantly, and evolve as businesses change. With the subscription model, clients can modify requirements without renegotiating contracts or facing unexpected bills.
Globant organized its AI capabilities around eight industry-specific studios covering financial services, life sciences, airlines, retail, and other verticals. Each studio develops AI Pods tailored to solve particular industry challenges. The company also built three core agents: Coda for software development, Navigate for enterprise backend integration, and Fusion for digital marketing.
By Q3 2025, 17 of Globant’s top 20 customers, which collectively account for nearly 40 percent of revenue, were already integrating the subscription delivery model. AI Pod pipeline more than doubled in a single quarter. The company’s revenue per IT professional reached $87,500, reflecting a deliberate orientation toward high-value digital transformation rather than traditional IT outsourcing.
Migoya has been direct about what this means for his workforce. He believes that the future of his people will shift from creating lines of code to orchestrating agents and serving as guides through an extremely complex environment. Rather than requiring less knowledge, he argues his people need to know more, understanding both traditional engineering principles and the rapidly expanding universe of AI capabilities. This is the harness argument expressed as a staffing strategy: the value shifts from the people who do the production work to the people who orchestrate the system that does the production work.
Globant’s case is worth studying because it is the furthest along in executing the T&M-to-subscription conversion. The company has a live subscription product, paying clients, measured results (including an 80 percent reduction in legacy system modernization times and a 50 percent reduction in software development costs for clients using the platform), and a pipeline that is growing faster than its traditional services business. For any mid-market services firm wondering whether the conversion is real, Globant is the proof point.
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