Post by Umer Khan

After spending a significant amount of time orbiting between customers, partners, and our ever-evolving AI models, a consistent theme has emerged regarding our identity. Fundamentally, we are building Outpost on three core theses: 1. Data: The (Unsexy) Foundation Everyone wants the "magic" of AI, but few want to address the mess underneath. Most corporate data layers are fragmented across CRM, ERP, and legacy systems that don't speak to each other. This friction turns promising AI use-cases into hallucinatory or clunky experiments. We believe solving the data silo problem is the most foundational - albeit least glamorous - requirement of the AI era. 2. Custom Software: The End of the "Box" The SaaS era effectively boxed companies into rigid, hard-coded platforms. Want a customization? That’ll be six months and a hefty invoice. This "per-seat" tax, levied regardless of actual activity, has been a shared migraine for operators and CFOs alike. That reality is shifting. We are entering an era where software adapts to the business, rather than forcing the business to adapt to the software. 3. People: The Context Engine While the prevailing narrative focuses on displacement and "the end of work," we’re looking at the evolution of value. Displacement is inevitable for certain roles, but there is a massive vacuum waiting for AI-native talent. The future belongs to those who can embed themselves within complex business contexts and use AI as a force multiplier rather than a replacement for critical thinking. Over the next few weeks, I’ll be diving deeper into how we’re tackling each of these pillars and sharing the lessons we're picking up along the way.