The New Wave of AI-Driven Enterprise Software: Hype vs. Reality

We’ve been hearing for a while now that AI is going to change everything. And surely, that’s true—it’s already changing everything. But in the day-to-day life of a founder building enterprise software, the feeling is different: excitement? Yes. Huge opportunities? Absolutely. But along with them come pressure, noise, and a flood of external expectations.

I see it every week: pitch decks starting with “AI-first,” clients asking about AI even when they’re not sure what they really need, and teams feeling compelled to add generative capabilities even when they don’t solve the actual problem for their users.

As a partner at an early-stage fund that’s deeply involved in B2B, I’ve learned that in this new phase there are two truths coexisting: AI is transforming enterprise software, and the hype is confusing more than a few people.

And as a founder, you—the one reading this—need to know how to tell them apart in order to build something that lasts.

Let me show you where each one sits.

Where the Hype Is

1. “AI-first” as a value proposition… without a clear pain behind it
   Many projects come to us with a narrative focused more on technology than the problem. When that happens, the competitive advantage is weak. If what you offer can be replicated by simply integrating a base model, you’re not building a sustainable product.
2. Generic copilots, without context or workflow
   A chatbot alone does not solve a complex process. If it doesn’t understand the environment, the data, and the dependencies, its contribution is limited. And trust me: enterprise clients notice immediately.
3. Unrealistic adoption expectations
   The uncomfortable truth: selling to enterprises is slow.

AI does not eliminate procurement, compliance, or the deep integrations that make software actually work. What I see is that many teams underestimate these timelines… and then get frustrated.

Where the Reality (and Real Opportunities) Are

1. AI as an engine, not a slogan

When AI is applied well, it doesn’t necessarily show up in a demo as a “wow effect”: it appears in the results—in the average ticket, in time saved, in error reduction.

Strong products don’t sell “AI,” they sell tangible impact

2. Vertical use cases are taking off first

Legaltech, cybersecurity, support, document analysis, industrial quality…

Where there’s data, repetitive processes, and context-driven decisions, AI is already generating fast returns. That’s where adoption is really happening.

3. Hybrid workflows work betterThe best products we see have something in common:

• They don’t try to replace the user, but enhance productivity.
• They take care of the tedious parts, prepare the ground, and allow better decision-making.

Key Takeaways for Founders

Here’s where I want to speak to you directly, because these conclusions come from working closely with many teams and seeing what works—and what doesn’t—when building serious enterprise software.

1. Focus on the pain, not the technology
   Your client isn’t buying AI. They’re buying less manual work, fewer errors, faster processes, or more revenue. If you don’t obsess over that pain, you’ll end up building features, not a product.
2. Think defensibility from day one
   The only way to build something lasting is to have something the rest cannot easily replicate: proprietary data, deep integrations, domain expertise, complex processes you automate better than anyone else.
3. Design for a real enterprise, not a demo
   Security reviews, compliance, roles and permissions, logs, audit trails, onboarding…

It doesn’t sound glamorous, but this is what separates a “promising project” from enterprise software that truly scales.

4. Build with vision, but sell with pragmatism

As investors, we love to see where your product could go, but what convinces us to invest is seeing traction today: real pilots, active users, workflows that work.

A Personal Reflection

I believe we’re living through a fascinating moment. Truly. Few times in enterprise software has there been such a wide-open window of opportunity. But it’s also a noisy moment, full of pressure to “jump on the AI train” even when the destination isn’t clear.

If you’re building in this environment, here’s my advice:

• Don’t chase the hype.
• Deeply understand a process, a customer, and a pain.
• Use AI to solve it better than anyone else.

Do that, and you won’t just stand out among the dozens of decks we see every week—you’ll be building something with real impact, a solid foundation, and a competitive advantage that survives the hype cycle.

And that’s exactly where we, as a fund, want to be—with you.

By Juan Revuelta, partner at Swanlaab Venture Factory

• By Swanlaab Venture Factory
• 20/01/2026