The Agentic Countdown: Why legacy monoliths won't survive the machine commerce era

Invisible to the Agent, Invisible to the Buyer

Q: How are agentic AI and buy-for-me behaviors in commerce challenging legacy monolithic platforms, and what is the breaking point?

AI hasn’t yet reached the point of executing purchases autonomously at scale, but it has absolutely arrived in the research, browsing and decision-making phase.

Today, people are using tools like ChatGPT or Claude to compare products, assess options against their personal context, and arrive at a buying decision before they even visit a product page. That agent comes to your site with the buyer’s full context already loaded. 

Structured, machine-readable content is now table stakes: clean product data, semantic markup, content served through APIs an agent can actually parse. A monolith renders a page for a human eye. Increasingly, the reader you have to satisfy is a model and it doesn't scroll, it queries. What breaks first is relevance: if it isn’t ready for AI, your site becomes invisible to the agent making the decision.

Q: You mentioned AI lowers the migration barrier. How, specifically?

Two ways. First, AI collapses the build. What used to take a team of specialists stitching together 15 to 25 tools, an engineer can now scaffold in a fraction of the time: integrations, data mapping, content modeling. Second, and less obvious, AI changes who can participate. Business teams prototype and validate concepts with cloud coding tools before a single developer is involved. The monolith's biggest hidden cost was that every change routed through IT. And that bottleneck is finally dissolving.

Q: Is the pressure different in B2B versus retail?

Every day, B2B is less B2B and more retail. Buyer expectations have merged — people who use apps for grocery delivery at home want the same experience when they’re procuring materials for their business. The expectations are now the same. The technology, however, is not. 

B2B legacy systems are far more deeply embedded than retail equivalents. That makes departing from a B2B monolith significantly harder than in retail and CPG, where you can see value much faster. At this point, there is virtually no reason for retailers to get left behind. 

But understanding what breaks is only half the picture. For most enterprises, moving from customer-centric platforms to agentic and customer-centric ones involves not only a change in technology, but a structural change in both the storefront, the back-end, and the organization itself. 

And still, the more pressing question for leadership lies in determining what finally moves an organization from awareness to action, and what separates the migrations that stall from those that succeed.

Composable Isn't the Destination. It's the Starting Line

Q: What’s the business case that finally commits an organization to a composable architecture, and where do most migrations stall?

Three forces are converging at once. First, buyer pressure: customers are demanding top-grade experiences everywhere, no matter the vertical. Second, as we mentioned before, the shift in how purchasing research is conducted. And third, perhaps the most important right now: the technical barrier to migration has dropped significantly. 

Four years ago, replacing a monolith required assembling a complex stack of 15 to 25 technologies to replicate what the monolith did natively. Today, AI dramatically compresses that effort. You can execute a phased, feature-by-feature migration rather than a high-risk replacement. 

If a migration stalls, it’s typically not because of the technology. It’s because of people. The decisions about what to prioritize, how to sequence the roadmap, how to govern data across an increasingly flexible architecture… Those require strong product, design, and UX leadership. As buying becomes more agent-mediated, the decisions about how to build the platform become more distinctly human.

Q: What does a realistic transformation roadmap actually look like, and what matters most?

Roadmaps are shorter now, and they have to be. An 18-month plan made sense when the technical effort required it. Today, market conditions shift fast enough that a rigid plan of that length is a liability before it’s half-executed. A more effective model lies in short-cycle roadmaps nested inside a longer strategic direction. Additionally, business areas can now generate and test concepts without depending on IT, using cloud coding tools, then pass a defined brief to development. So iteration cycles become increasingly shorter. 

Another other critical element is data centralization. When you have this much flexibility to iterate, and you’re running multiple changes simultaneously, you need a single source of truth to understand what’s actually driving impact. Large retailers and CPG companies are sitting on vast reserves of untapped data. That’s not a liability. It’s the foundation of the next advantage, if you can unlock it.

What emerges from this conversation is a picture of transformation that is more accessible than many organizations assume. Even though the technical barriers have lowered, humans are the ones driving the change. Leadership needs to internalize the urgency that is required in order for their businesses to become, and stay, future-proof. Composability has become the established norm. What was once a strategic option has become, in Felipe Silberstein’s framing, the baseline for any organization that wants to compete on its own terms, instead of waiting for monolithic vendors to catch up. 

Conclusion

The gap between knowing and moving is where most organizations get stuck. Monoliths will persist, but their ceiling is fixed. Built on shared best practices, they move at the pace of consensus, not the market. Meanwhile, composable has become the floor, not the ceiling. The next line of competition is agent-readiness: whether your content, data, and commerce logic can be consumed, reasoned over, and acted on by systems making decisions on the buyer's behalf. Monoliths can't get there. Composable architectures can, and that's the real countdown.

The leaders best positioned in the next 18 months won't be the ones who predicted every change — they'll be the ones who built a foundation capable of rising to the challenge.

If you are looking to make the transition but do not know where to begin, click here to get in touch with one of our experts.

Co-written by Francisca García Charad