Solomon AIYou should not need a full finance team or a pile of internal tools to know how long your runway is, which bills need approval, and why cash changed this week.
Most founder-run companies do not have one finance problem. They have a Monday-morning question: can we make payroll, how long is our runway, which vendor payment can wait, and what changed since last week? Today the answer is scattered across Stripe, the bank, QuickBooks, contracts, customer email, and a spreadsheet someone rebuilt by hand.
Solomon AI answers that question. It connects those systems, reconciles the records, and gives your team one place to plan, approve, pay, and explain the numbers — the finished product, not a pile of data you still have to turn into software. Eigenn, the modeling product, is in production today.
Why now
A 5-to-50-person company has enough revenue for finance mistakes to hurt and not enough staff to absorb the cleanup. A bad forecast eats into runway. Missed approvals stall vendors. A board question turns into a two-hour hunt through dashboards.
AI raises the stakes. An agent can only help if it can see the invoice, the bank transaction, the approval history, the customer thread, the contract, and the last exception together. Pull those into one place and the assistant has something to reason over; leave them scattered and it is guessing.
But seeing is the easy half. The moment an agent can schedule a vendor payment, void one, or release an approval for you, the question stops being how smart it is and becomes whether you can trust it to act. So in Solomon AI, a money-moving action is designed to be drafted first, wait for your approval, and be written to an audit trail you can read. And the assistant is built to act through brokered permission — it never holds your bank or Stripe keys.
The deeper reason is incentives. The company that profits from your spending can't be the one you trust to act on it. The spend-card and bill-pay tools you already use earn on interchange and float — every dollar you save is a dollar off their revenue. Solomon AI is a subscription: we earn nothing on which rail you pay from or how much you move, so the assistant is free to recommend the cheaper one and act in your interest, not ours. Trust to act takes two things — provable control and aligned incentives — and a tool funded by your spend can build the same approval screens, but never the alignment.
What this looks like
Sync pulls in Stripe, your bank, your accounting system, contracts, and customer threads — no integration wiring on your side. What your team sees is the answer: where cash is headed, what to pay, what needs approval, and the evidence behind each one.
Eigenn models your finances and stress-tests the plan. Cadense (in private beta) handles bills and approvals. Conduitt (with design partners) keeps the customer conversation attached to the record it explains. OperatorCamp gives you the playbooks to run it all. And the Solomon AI Assistant is the local-first companion on top: it reads the same shared record on your machine and helps you draft, prep, and act — every action reviewable before it runs.
Open Eigenn and you see your runway under the move you're weighing — hire two people, push the raise a quarter — each scenario beside the assumptions behind it.