Navigate Work

From the Founding Team at Interloom

For over 30 years, enterprise software has shaped the way we work. Yet today, more than 70% of what people do in organizations every day—decisions, escalations, problem-solving—happens outside of these systems. Why? Because we’ve been forcing fluid, human interactions into rigid structures: filling out forms, booking time, updating CRMs, logging data into ERPs.

All that changes today. Computers now understand language—and in many ways, they surpass us in processing and generating text. AI agents, powered by large language models, can adapt to nearly any context, freeing us from the deterministic software models of the past. No longer is software a form you need to fill out or a workflow you need to configure, it's a member of your team.

But as AI Agents enter the workforce, companies must evolve, and the biggest challenge isn’t technical—it’s organizational. Who manages these agents? How do we integrate them into existing hierarchies? What about security, permissions, governance?

The good news is that companies already have the answer. AI agents understand natural language, which means they won’t be managed by IT departments, but by functional managers—the same people who already hire, train, and guide knowledge workers today.

Every company also runs on learned patterns—years of decision-making, problem-solving, and adaptation. By capturing and refining these patterns, we can create a system that continuously evolves, learning from every case, surfacing the best solutions, and dynamically adjusting workflows. The result? A system that ensures agents have the blueprint they need to automate routine tasks while ensuring the highest-value work, and most importantly the decision, remains human.

Imagine work being orchestrated like modern navigation—adjusting in real time based on past journeys and live conditions. Just as GPS transformed travel, Interloom is building the first true navigation system for work, powered by vector embeddings, process traces, and an adaptive knowledge graph. This isn’t about imposing rigid structures, it’s about software that works in tandem with people—enhancing decisions, adapting dynamically, and optimizing outcomes at scale.

At Interloom, we are rewriting centuries of organizational theory—creating a future where humans and AI agents work together seamlessly, unlocking a 100x increase in productivity. And we believe that this is already possible with the technology we have today.

Join us on this journey.

– The Founding Team at Interloom