Finance you own, not rent.
An AI-native finance function, deployed and operated inside your business. See your runway, trust your numbers, and own what it runs on - your data, your decisions, and the institutional memory it compounds.
Finance is where the orchestration tax compounds.
57-60% of a founder's week is coordination - specs, syncs, handoffs, copy-paste between tools - work that exists only because the people around you cannot share context.
Finance gets it worst. Every handoff in the company eventually lands as a number someone has to chase, reconcile, and explain. Your bookkeeper closes the books. Your CPA files taxes. Nobody connects the financial data to what it means for the business.
It comes to a head right after you raise: the board wants real unit economics, the spreadsheet has stopped scaling, and the reflex is to over-hire a senior finance seat too early or bolt on another tool stack. Both rent you the layer the round was supposed to let you own.
This isn't a tool you buy or a hire you manage.
It's Cai, the company AI that orchestrates the system and runs it with you.
You today
- Check Slack for what changed
- Open the GL, export reports
- Paste into the model
- Cross-reference the CRM and the bank
- Write the summary for the board
- Repeat next week
You with Cai
The answer is already there.
Sourced from the books.
Computed in code.
Reviewed by a human.
Cai, live
Every financial transaction assembles into one structured Register. From there, role-gated views render automatically. The operator sees one view, the board sees another, all from the same source. The Register holds segments of every transaction, and the function keeps it live through three update layers: comments, the data coming off your systems, and operator overrides. This is not a mockup of a future product. It is the control surface of the finance function Cai and I operate for a paying startup in daily production today. The data below is illustrative.
| Date | Customer | Project | RevType | Amount | Status |
|---|---|---|---|---|---|
| 2026-01 | Acme Industries | Q1 Implementation | Subs | 12,500 | Active |
| 2026-01 | Beta Corp | Onboarding | Advisory | 8,250 | Active |
| 2026-02 | Cipher Co | Phase 2 | Subs | 15,000 | Active |
| 2026-02 | Delta Holdings | Custom Build | Implementation | 22,500 | Pipeline |
| 2026-03 | Echo Systems | Q1 Support | Subs | 9,800 | Pipeline |
| 2026-04 | Foxtrot Labs | Phase 3 | Subs | 18,000 | Provisional |
| 2026-04 | Gamma Holdings | Custom | Advisory | 6,750 | Pipeline |
One structured event log of every financial transaction. Historical, in-pipeline, and forecasted segments live together. Kept current in code, with a human owning the review.
| Apr | May | Jun | |
|---|---|---|---|
| Revenue | 28K | 31K | 35K |
| COGS | (9K) | (10K) | (11K) |
| Gross Profit | 19K | 21K | 24K |
| OpEx | (14K) | (15K) | (16K) |
| EBITDA | 5K | 6K | 8K |
Cash-basis P&L that reshapes per scenario in one click.
| Customer | FY26 |
|---|---|
| Acme Industries | 156,000 |
| Beta Corp | 98,500 |
| Cipher Co | 124,000 |
| Delta Holdings | 89,300 |
| Echo Systems | 67,800 |
Customer rollup with FY totals and recognition status.
| Vendor | FY26 |
|---|---|
| Cloud Services | (24,000) |
| Marketing Co | (45,000) |
| Office Supplies | (8,400) |
| Payroll | (380,000) |
| Software | (18,500) |
Vendor rollup by category. Payroll separate. Accruals reconciled.
| Invoice | Term | Recognized |
|---|---|---|
| INV-1024 | 12 mo | 3,125 |
| INV-1025 | 12 mo | 1,375 |
| INV-1026 | 6 mo | 2,500 |
| INV-1027 | 12 mo | 7,500 |
| INV-1028 | 6 mo | 4,000 |
Deferred-to-recognized waterfall, computed from each invoice's term and start date.
What the system gives you
Three things, off your own books: books you can trust, cash you can see, and board numbers you can defend. Not a dashboard you maintain - an operator who runs it.
Books you can trust
Books reconciled to source and closed on a fixed cadence, every figure computed in code. The deterministic backbone the rest is built on.
Runway you can see
Cash position projected from real inflows and outflows, so you see the date you need to act long before you are near it.
Numbers you can defend
Board reporting built on numbers someone can defend, line by line, traced to source. Not a deck assembled the night before.
Why AI fails at finance
Every founder has tried a chatbot on their numbers. Here is why it did not stick.
It guesses at numbers.
A live finance function computes every figure in code against the general ledger, so the math is right and it traces to source.
It forgets your context.
This system keeps a clean, living record of the business and carries your context forward across the whole engagement, so it gets sharper month over month.
The hard part is not the prompt.
There is a free AI CFO template going around, and firms that will hand you a CFO update from one prompt. That is the easy part, and it is already free. The hard part is the clean, live, deterministic financial backbone underneath, the part someone has to build, run, and stand behind.
One system, wherever the work already happens
The system stays in context across the artifacts your team already uses: the spreadsheet, the deck, the doc, the chat channel. One source of truth, one living record, no copy-paste between tools.
You own your brain
Your data, your AI.
You run the system on your own AI subscription and your own keys. We never sit between you and the model, and we never mark up your compute.
You own what gets built.
Your context, your data, your outputs are portable and yours to keep, from day one. The methodology is licensed, perpetual and free, with no rent that holds your books hostage. If I ever step away, you keep everything and I do not send you a bill.
Trace to source.
Every number is computed in code, not estimated by a model. Each figure traces back to its source and is reviewed by a human before it reaches your board.
The operator
A decade in institutional finance: investment banking at Houlihan Lokey and William Blair, a relative-value hedge fund, and two startups co-founded. Years on the operator side, building and running the finance function from the ground up, and the AI system that runs it. One accountable operator on the hook for the numbers.
Questions founders ask
What do I actually own?
When is the right time - shouldn't I just hire a senior CFO?
Do you replace my existing stack?
What happens in the first month?
Is my data used to train anything?
Will anyone know I'm working with you?
What does this cost?
See if we're a fit.
I commit to a small number of deep operating relationships, so the system - run by Cai - is actually run with you, and I deploy and operate the same finance OS I built and run for myself, configured around your company. I would rather take less cash and share in what we build, with a team that sees the same leverage I see. If you want finance to be a source of truth instead of a monthly fire drill, or you know a founder who does, let's talk.
Talk to Cai - see if we're a fit or email Ty