Nestor Lara believes that the future of enterprise software isn't about replacing human expertise with AI—it's about multiplication. The ✘ symbol he champions represents this philosophy: AI and human knowledge don't just add to each other, they multiply, creating outcomes neither could achieve alone. At Nova Intelligence, Nestor is building systems that prove this thesis, combining the speed and scale of multi-agent AI with the judgment and domain expertise that only humans can provide.
Before joining Nova, Nestor spent nearly four years building Nuve Platform with a deceptively simple but profoundly ambitious goal: automate virtually any SAP operations task that was previously manual. This wasn't academic research—it was a founder in the trenches, discovering firsthand what enterprises actually struggle with versus what vendors claim they need.
That entrepreneurial journey taught Nestor lessons you can't learn any other way. He discovered where automation genuinely creates value and where it falls short without human insight. He learned which SAP pain points keep executives awake at night and which are merely technical curiosities. He experienced the gap between impressive demos and production-ready systems that enterprises will actually trust.
This founder's perspective fundamentally shapes how Nestor approaches engineering at Nova. He doesn't build features because they're technically impressive—he builds them because he's lived the problems they solve.
Nestor's deep empathy for enterprise SAP challenges comes from experiencing the entire journey. He knows what it's like to be stuck on ECC, looking at an S/4HANA migration that feels overwhelming. He understands the mid-migration anxiety when you're committed but not yet confident. And he's navigated the post-migration reality where achieving Clean Core compliance feels like an endless game of whack-a-mole with custom code.
This comprehensive perspective means Nestor doesn't just build AI that works in one scenario—he architects systems that meet enterprises wherever they are in their transformation journey. Whether you're planning your first steps away from ECC or you're already on S/4HANA and wrestling with Clean Core compliance, Nestor has lived that reality and knows how intelligent automation can genuinely help.
What makes Nestor's approach distinctive is his fundamental belief in collaborative intelligence. Many AI systems are built on an implicit assumption: replace the human. Nestor rejects this entirely. He's building AI agents that accelerate and automate the tedious work—analyzing thousands of lines of legacy ABAP, identifying patterns, suggesting refactorings—while subject matter experts provide the context, judgment, and validation that ensure enterprise-ready outcomes.
This isn't compromise—it's strategy. AI without human expertise produces technically correct code that misses business context. Human expertise without AI assistance can't operate at the scale and speed modern transformations demand. But multiply them together—AI handling the scale, humans ensuring the quality—and you get something powerful: faster timelines, reduced costs, and outcomes enterprises can actually trust.
Nestor's years building automation platforms taught him something critical: in enterprise environments, trust isn't optional—it's everything. Executives don't just need code that compiles; they need transformations that won't introduce risk, won't blow up timelines, and won't require armies of consultants to fix when something goes wrong.
This understanding shapes every architectural decision Nestor makes at Nova. The AI agents he builds don't just generate code—they generate code that's maintainable, that respects enterprise conventions, that integrates cleanly with existing systems. They don't just automate—they do so in ways that give enterprises the visibility and control they need to feel confident.
Nestor's background in aerospace engineering might seem unrelated to SAP transformation, but it's actually profoundly relevant. Aerospace engineering teaches you to think in systems—to understand how components interact, how failures cascade, and how to build reliability into complex environments where stakes are high. These aren't just useful skills for SAP transformation—they're essential.
When Nestor approaches a gnarly custom code problem in a decades-old SAP system, he brings that systems thinking: understanding dependencies, anticipating unintended consequences, and building solutions that are robust under real-world conditions. Aerospace engineers don't get to ship and iterate when lives are on the line. Similarly, Nestor builds AI agents that work reliably the first time because enterprise transformations don't offer unlimited do-overs.
What drives Nestor isn't building impressive AI—it's delivering outcomes that matter. When he talks about reducing costs and de-risking timelines, he's not reciting marketing copy—he's speaking from experience about what actually moves the needle for enterprises. He's seen organizations paralyzed by the complexity of SAP transformation, and he's building AI agents that cut through that complexity to deliver results: faster migrations, cleaner code, and transformations that don't consume every available resource.
His approach is pragmatic: start where the enterprise is, understand their specific challenges and constraints, then deploy AI in ways that multiply human expertise rather than trying to replace it. This isn't just philosophically sound—it's what actually works in the real world of enterprise software.
At Nova Intelligence, Nestor is engineering the future he's long envisioned: where AI and human expertise multiply each other to achieve more than either could alone. Where enterprises can approach SAP transformation with confidence instead of dread. Where Clean Core compliance isn't a distant aspiration but an achievable reality.
The ✘ symbol he champions isn't just notation—it's a promise about how technology should work in enterprise environments. Not replacing people, but amplifying what they can accomplish. Not eliminating expertise, but scaling it. Not choosing between speed and quality, but multiplying them together.
Based in Mexico City, Nestor represents a new generation of enterprise software engineers who combine entrepreneurial insight, deep technical capability, and a fundamentally human-centered vision for how AI should transform the way we build and maintain the systems that run modern business.
