Solomon AISolomon AI should make your weekly finance questions answerable: how long is your runway, what can you pay, why did cash change, and what evidence backs the answer?
Founder-run companies do not want another finance project. You want to forecast cash, pay vendors, close the month, answer board questions, and keep customers moving. Today that work is split across payment processors, bank accounts, accounting tools, contracts, inboxes, and spreadsheets.
The mistake would be to move that mess into another database and ask you to build the product around it. Solomon AI gives you the working product itself: the record, the workflow, the permissions, the audit trail, and the AI context in one place.
Who this is for
You are a 5-to-50-person company with real revenue, real customers, real vendors, and no full finance team. You still know the chart of accounts. Maybe a part-time bookkeeper, an operations lead, or a controller helps — but no one has time to maintain internal finance tooling.
You come to Solomon AI when getting the answer has become too slow: the forecast no longer matches the bank, a vendor payment needs approval, runway looks shorter than it did last month, or the board wants a runway update before the next call.
What the product must do
The product must cut the number of places you check before making a finance decision. It must show the source of the number, the people involved, the approval state, the customer or vendor conversation, and the next action.
Finance work is shared work — approvals, notifications, evidence, exports, and roles all need a surface your team can use together. So the products cannot feel like separate tools that happen to share a logo. They have to feel like one answer.
And the product has to earn the right to act. Being trusted to act on a founder's money is the prize, and it takes two things at once: provable control — show the evidence, wait for approval before money moves, record what was done — and aligned incentives. A card or bill-pay tool can build the same approval screens; because it earns on your spend, it can never honestly point you to the cheaper one. Solomon AI earns nothing on what you move, so it can.
The build has five parts, in the order you feel them:
1. Connect the work
Sync pulls in Stripe, banks, accounting systems, contracts, and customer threads — you should not have to wire up integrations before you can trust a forecast or a cash report. It should feel invisible: what you see is the invoice, payment, message, approval, and exception in the same place, with enough history to act.
2. Plan and stress-test cash
Eigenn turns your numbers into a model you can forecast and stress-test: runway under different hiring, pricing, and fundraising scenarios, best case and worst case, beside the assumptions that drive them. You see what a decision does to cash before you make it. Eigenn is in production today.
3. Help pay bills
Cadense (in private beta) captures bills, routes approvals, schedules payments through licensed partners, and reconciles the payment back to the source record. You should know who approved a bill before money moves.
4. Keep conversations attached
Conduitt (with design partners) keeps customer and vendor communication attached to the financial event it explains. A renewal question, a dispute, a billing correction, or a churn signal should not vanish into an inbox.
5. Teach the operating motion
OperatorCamp gives you the playbooks: how to build a forecast, prepare a cash update, run an approval cadence, and handle the finance moments a founder-run company hits before hiring a full finance team.
The AI layer
On top of all of it sits the Solomon AI Assistant — a local-first AI coworker. It builds a private knowledge graph from your email, calendar, and meetings, and connects to the shared, audited record in Solomon AI — then drafts updates, preps board answers, and explains exceptions, on your machine. It is available to download for Mac, Windows, and Linux.
Acting on money is different from answering questions. So the Assistant is built to treat money-moving actions — scheduling a payment, voiding one, releasing an approval, paying a bill — as a guarded class: each designed to be drafted first, wait for your explicit approval, and be written to an audit trail. It is built to act through brokered permission, so it can use your tools without ever holding your keys.
Where we are now
Sync is in production. Eigenn is live. Cadense is in private beta. Conduitt is live with design partners. OperatorCamp publishes the playbooks. The Solomon AI Assistant is available to download.
What we have to earn
You have to trust Solomon AI more than the spreadsheets and stitched dashboards you already know. If you truly want to build your own finance tools, we are solving the wrong problem. If AI cannot reliably help across plans, payments, approvals, and conversations, the timing is wrong.
What you get next
As the core workflows stabilize, new finance products can ship on the same record instead of starting from scratch. The platform is not a folder of exports — it is the shared record, the roles, and the evidence that make each new product useful on day one.
The long arc
First, you run planning, cash, payables, and customer-finance from one place. As the AI proves reliable, the Assistant takes on more of the weekly work — drafting board updates, explaining exceptions, routing approvals, and watching cash risk — always inside the same guardrails: approval before money moves, every step audited, the control never leaving you. The trust compounds because the brake is always yours. Later, paying and settling between companies gets easier: the invoice, the approval, and the proof travel together instead of bouncing between inboxes. Our job is to make that the easy path for you, not a more technical one.
Solomon AI
This is Part One. Part Two comes when you can run more of your finance work on Solomon AI with less manual reconciliation. Read why we're doing itif you haven't.