SaaS vs. Hybrid: The Future of Localization Business Models
In the latest Elevate Innovate session, industry leaders Jonas Ryberg (Senior VP of Multilingual AI at Centific) and Alex Zekakis (COO at XTM International) sat down with Lion People Global’s Olga Blasco and Dave Ruane to pressure-test the very foundations of how we do business.
The consensus? The “old way” three-day turnaround and word-count-based procurement are no longer strategies. It is a liability. As Zekakis bluntly put it:
“If you haven’t updated your model, collaboration model, or strategy in the last 3 years, you’re doing something wrong”.
From Buying Words to Funding Outcomes
The most significant change in the last 24 months isn’t technological – it’s a shift in persona. The days of localization being a back-office conversation are over. Today, CIOs, CTOs, and VPs of AI are entering the room, bringing a very different set of expectations.
These new stakeholders don’t care about the nuances of translation memory. They care only about business results. Olga Blasco identifies this as a “transformation shift in basically having buyers being the funders of outcomes, as opposed to buying words”.
This shift changes the entire value proposition of an LSP or technology vendor. When the C-suite looks at localization, they see a “juicy AI pie,” and they want a slice of the efficiency it promises. They are looking for simplicity and speed. They want to “drive the car” without having to worry about the “engine tweaks” that have traditionally defined the localization process.
The Multimedia Efficiency Leap: Months to Minutes
To understand why the C-suite is suddenly so interested, look at the radical shift in production timelines. Jonas Ryberg points to multimedia localization as the proverbial “canary in the coal mine” for the industry’s broader evolution.
“It used to take weeks or months to get something turned around, and now it can get turned around in hours or literally minutes using AI.”
This isn’t a marginal gain; it’s a total collapse of the traditional cost structure. Ryberg notes that these new ways of working have reduced costs by 70-80% in many cases.
When the turnaround time for high-end content drops from months to minutes, the traditional business model, which was built on the scarcity of human linguistic labor and the high cost of engineering, evaporates. In its place, we are seeing a battle for dominance between two primary models: SaaS and Hybrid.
SaaS vs. Hybrid: Solving the “Messy” Reality
The debate between pure-play SaaS and Hybrid models is often framed as a choice between technology and services. However, this session panel argued that these lines have almost entirely blurred.
The SaaS Perspective: The Quest for Simplicity
In a pure B2B SaaS model, the technology is the enabler. Alex Zekakis notes that while SaaS has always had a service layer, the goal today is simplicity. As localization teams are downsized or even terminated in some enterprises, the remaining “non-user” buyers need a transaction that is frictionless. They need the technology to do the heavy lifting without over-encumbering them with complexity.
The Hybrid Reality: Orchestrating the Mess
While SaaS promises scalability, Jonas Ryberg argues that the Hybrid model – a mix of technology-led services – is inevitable for large-scale enterprise deployments. Why? Because enterprise data is messy. “Wherever customization or technology is required, and configuration is not enough, Hybrid is the choice to go with,” says Ryberg. For large, complex programs, a “plug-and-play” SaaS solution often fails to account for the unique, highly customized requirements of a global brand. Hybrid models shine here because they provide the “human expert as a sniper” to handle the high-value nuances while the machine handles the heavy lifting.
The $1 to $6 Rule: The Economics of Integration
Perhaps the most provocative economic insight from the session came from Ryberg regarding the relationship between tech and services. In the wider tech industry, general wisdom suggests that for every dollar generated by a SaaS platform, $6 of services revenue is generated on top of it.
This ratio suggests that the “SaaSpocalypse” – the fear that AI will destroy SaaS margins – is only half the story. While subscription prices may be under pressure, the demand for sophisticated services to implement, orchestrate, and govern that technology is actually growing.
The winner in this landscape isn’t necessarily the one with the cheapest tool, but the one who can provide a “proven success” model that combines technology with deep professional expertise.
The “Magic Button” and the Rise of Shadow AI
One of the greatest threats to traditional localization departments today is the phenomenon of “Shadow AI.” Alex Zekakis describes a common scenario: a creative professional working in Adobe clicks a “magic button” that offers instant translation. They get their result immediately. They get a “win.” But this win is a headache for the organization. “That button has tremendous repercussions down the line from a quality perspective, a value perspective,” Zekakis warns. Organizations are now “manically trying to get back the control” that they lost to these fragmented AI features.
The problem is that traditional localization workflows, which often involve submitting a file and waiting three days for a return, cannot compete with a “magic button”. If the official technology is a bottleneck rather than a solution, users will bypass it every time. To survive, professional localization models must provide an experience that is as simple and fast as the “magic button,” but with the governance and quality guardrails that only an expert-led system can provide.
Ready to dive deeper into the SaaSpocalypse vs. Hybrid debate? Watch the full session here:
Lessons from the Car Industry: Controlling the Value Chain
To find a roadmap for the future, Dave Ruane suggests looking at the automotive industry – specifically the rise of BYD and Tesla.
BYD didn’t just set out to build a better car; they optimized the entire supply chain by owning battery production. Tesla, conversely, focused on the software piece to redefine the user experience. Both companies succeeded because they chose to control the value chain that mattered most to their audience.
In localization, the “value chain” is no longer about managing a database of words. It’s about Global Communication. Jonas Ryberg suggests that the industry should perhaps stop talking about “localization” altogether and start talking about “multilingual AI” and “global experiences”.
The companies that win the next decade will be those that, like BYD, redefine who they are and what they control. They won’t just be “tech providers” or “service providers”; they will be partners who own the outcome.
The “Build vs. Buy” Dilemma
As enterprises attempt to regain control, many are considering building their own AI orchestration platforms. However, Olga Blasco urges caution.
“If building technology is not your core expertise… why would you pursue that path? Just because you have a budget available, that may not be the responsible choice.”
Instead, she advocates for a consultative, co-design approach with partners who have made building technology a core strength.
This leads to another critical market differentiator: AI-native companies vs. retrofitted “Frankensteins”. Jonas Ryberg notes that buyers increasingly prefer AI-native companies because they can move faster. “They don’t have all these inherited complexities in workflows”.
Key Takeaways for the C-Suite
- Recalibrate for Urgency: If your strategy is more than three years old, it is likely a bottleneck. Recalibration is not a “next year” task; it requires immediate action.
- Focus on Outcomes, Not Acronyms: Shift your procurement focus from “buying words” to “funding outcomes.” Demand simplicity and measurable business impact.
- Address Shadow AI: Don’t fight the “magic button.” Instead, provide a managed alternative that offers the same speed with better governance.
- Demand AI-Native Agility: Look twice at legacy incumbents. Ensure your partners are leveraging AI at their core, not just as a “patchwork” addition.
- Embrace the 1:6 Reality: Recognize that as technology costs decrease, the value of expert orchestration and integration services increases. Invest in partners who can bridge that gap.
Conclusion
The most profound takeaway from the Elevate Innovate session is that the localization industry is undergoing an identity shift. We are moving away from being a specialized service tucked “somewhere in a corner” and toward becoming a central pillar of global business strategy. This transition requires us to get rid of “preconceived notions” of what it means to deliver localization (or whatever name the industry will become).
Whether the future is SaaS, Hybrid, or a total convergence of the two, the ultimate winner will be the one who delivers real value in production, not just a successful pilot. To successfully pivot from a back-office function to a driver of global outcomes, we must stop worrying about “engine tweaks” and finally take the wheel to lead the global AI narrative.
