AI Is Coming for the Busywork
Every industry has its version of the same problem. Smart, expensive people spending most of their time on work that doesn't require them to be smart. Building repetitive models. Formatting decks. Cleaning data. Reconciling numbers across tabs. This is the stuff that fills the first five years of a finance career and never fully goes away, even at the top.
AI is about to compress all of it.
We saw this play out in software engineering first. Tools like Claude Code and Cursor turned junior-level programming tasks into something a single developer could knock out in minutes. Entire applications now get built by one person directing an AI agent.
But the business world has been slower to follow, and not because the models aren't capable. The issue is that most AI tools were built for general audiences. They're impressive in demos and useful for drafting an email, but they fall apart when you hand them a rent roll with 200 line items or ask them to build a returns waterfall. Business professionals tried these tools, hit the ceiling quickly, and went back to doing it manually.
That gap is what we're focused on.
At Lumetric, we're building an AI coworker for business professionals that actually does the work. Not a chatbot that gives you suggestions. Not a copilot that autocompletes a few cells or even a generic AI coworker. A platform where you describe what you need, and it builds the model, formats the deck, cleans the data, or drafts the memo.
The key distinction is scope. Most AI products try to assist you within your existing workflow. We think the workflow itself is the problem. If you're still manually pulling comps, formatting tables, and cross-referencing data across five tabs, a smarter autocomplete isn't going to change your life. You need something that owns the task end to end.
That is a hard problem to solve well. Business deliverables have real stakes. The workflows can be complicated, messy and unpredictable. It requires not just a smart AI, but one that is built to handle your exact problems, has an understanding of your procedures, and can adapt to your unique needs.
The thesis is simple: the most valuable professionals in business should be spending their time on judgment, relationships, and decisions — not on the mechanical work that leads up to them. AI is finally good enough to take that on. Someone just needs to build the product that actually does it.
That's what we're doing.