Do you replace my existing stack?

It absorbs the FP&A and planning layer - that stack goes away - and connects to the systems of record you keep: general ledger, payroll, banking, CRM. It runs on your own AI subscription and your own keys - I never sit between you and the model, and I never mark up your compute.

Is my data used to train anything?

No. Your books live on your own keys and your own accounts - your billing console shows exactly where every call goes. Every number is computed in code against your general ledger and reviewed by a human - nothing about your business trains a shared model.

If you are budgeting for a senior finance hire, this sits in that decision frame - the system absorbs the FP&A stack under that hire. Depth varies, so the number is a conversation. Talk to Cai and let's see if we are a fit.

For founder-led, traction-stage startups

The finance function your traction actually needs.

Q: What do I actually own?

Your data, your context, your outputs, and the system that produces them - portable and yours to keep from day one. The methodology is licensed to you, perpetual and free. If I ever step away, you keep everything and there is no bill.

Q: When is the right time - shouldn't I just hire a senior CFO?

Right after a raise is when founders over-hire a senior finance seat, and six months in that person is still cleaning up books the role was never priced for. The round funds the deterministic backbone: books tight, close on a cadence, board numbers you can defend. I deploy and operate that as a system you own, so revenue per employee climbs instead of headcount. Add the senior strategic hire when the company is ready, not to fix the basics.

An AI-native strategic finance function, deployed and run inside your company. After a raise - or when revenue outruns the spreadsheet - finance becomes the signal you steer on.

See if we're a fit See how it works

The problem

Finance should be the signal you steer on.

Finance is easier to build before complexity compounds - and expensive to repair after. Your product and your pipeline run on live signal. Finance still reports after the fact - and after a raise the lag compounds: the business moves daily, but the number you steer on is last month's - and where the books have gaps, the signal never arrives at all.

Product and GTM stream a live signal (LIVE); finance on the default path is delayed and partial between closes (DELAYED)

The solution

Cai, the company AI, orchestrates and runs the system under one named operator accountable for your numbers - no tool to buy, no extra hire to manage.

Foundation first, then signal. Clean books and closed gaps come first - the signal builds on a sound foundation. One operator and one system carry you the whole way, so you are not hiring for the cleanup now and the strategy later.

1 System stitchingOptimizing the existing stack

2 Signal expansionUnlocking new data

3 AutomationAutomating the prep busywork

4 Intelligence layerEnabling strategic intelligence

Scope grows in the order a finance org would.

The system is built in the sequence a finance function grows through, and the seat steps up with it. Same operator, same system - deeper questions as the company earns them.

Director of Finance depth

The foundation: clean books, a dated close, cash you can see, revenue readable by stream. Every number reconciled to source before anything is built on it.

Head of Finance

The operating model: budget vs actual with drivers, unit economics by line of business, pricing and sales comp tied to how the business actually earns, the board pack - run every month.

CFO scope

Capital: the raise and the bridge, the data room, the plan the round is priced on. When the company hires its own CFO, that person inherits a live, diligence-ready system instead of a cleanup project.

The system

The system, and the order it gets built in

Four layers on a verified foundation. The order is not a preference, it is a dependency chain: nothing at a higher layer can be more reliable than the layer beneath it. That is what makes deployment safe rather than disruptive.

Layer 4FP&AThe plan, and the decisions that run off it

Layer 3CloseA calendar, not an event. AR and invoicing run through it

Layer 2LedgerThe book of record, mapped to how the business actually earns

FoundationVerified source layerEvery cash event reconciled, one identity per customer, vendor and contract. Deterministic - it either ties or it fails loudly

Layer 1Money in, money outYour existing systems: card and spend, payables, banking, invoicing. Unchanged

Built bottom-up. Read top-down.

Layer	What it produces	What breaks if it is skipped
Foundation	Every cash event reconciled to source, with one identity per customer, vendor and contract	Every number above it inherits the ambiguity, and no amount of review upstream removes it
Ledger	Revenue and cost readable by stream, not only in total	Five revenue lines land in one number, and neither a lender nor an investor can tell which part is durable
Close	A dated monthly close carrying AR, collections and invoicing	The close becomes an event that depends on whoever is holding it - the continuity risk in every handover
FP&A	A live model of record, and the decisions framed on it	The model is a file that disagrees with the books, and the disagreement is discovered by the counterparty

One system, wherever the work already happens - spreadsheet, deck, doc, chat.

Numbers computed in code, traced to source; AI drafts, code decides.

The engagement

How it works

Connect

The system connects read-only to your books, billing, and bank - mapping each schema into the substrate and loading the context of how money actually moves through your company.

Deploy

Your finance OS goes live: clean close, live runway, forecast, board-ready numbers - on infrastructure you own.

Operated

One named operator runs the function and answers for the numbers. The system compounds - sharper every month it runs.

Ownership

Owned, not rented.

Owning your AI context has become standard advice. The scarce part is operating it as a live finance function: building the backbone, keeping every number deterministic, answering for the output. I run that. The system stays yours.

Your data, your AI - on your own keys, any model, swap anytime.
The system built inside your company is yours - with a perpetual license to the method that runs it.
Every number traces to its source.

Who runs it

The operator

Ty Boshyan

Founder, SliceCFO

LinkedIn ↗

Twenty-five years across capital markets and the operator seat: investment banking at Houlihan Lokey and William Blair, nine years at a relative-value hedge fund, two startups of my own, then first finance hire at a VC-backed startup - built the function from scratch and ran it from Director of Finance to CFO. The habit that built: take any business apart from the capital side and the operating side at once, and see how the two marry. Now the same build, AI-native, with every AI output reviewed by someone who knows what right looks like. One accountable operator on the hook for the numbers.

Questions

Questions founders ask

What do I actually own?

Your data, context, outputs, and the system that produces them are portable and yours from day one. The methodology is licensed to you, perpetual and free. If I step away, you keep everything - no bill. Nothing about your business trains a shared model.

When is the right time - shouldn't I just hire a senior CFO?

Before complexity compounds - ahead of a raise, or just after one. A senior seat hired into unbuilt books spends its first months on cleanup. Build the foundation first, step the scope up as the questions do, and when you hire your CFO, they inherit a live system.

What happens in the first month?

Week one we connect the stack, week two we assemble your model, and within the first month your cash P&L, runway, and board read are live on your own books, so you have watched the function run before you commit further.

Will anyone know I'm working with you?

No. I don't disclose client names. With an AI operating this close to your books, keeping the engagement confidential is part of the security model - it keeps the attack surface small. Your data stays on your keys, and the relationship stays private.

What does this cost?

Scope-sized. The engagement starts at Director-of-Finance depth and steps up to Head of Finance and CFO scope as the system and the questions grow - the price steps with the scope, never with headcount. The number is a conversation. Talk to Cai and let's see if we are a fit.

See if we're a fit.

Where this works best: founder-led·async by default·decisions written down

I commit to a small number of deep operating relationships: Cai runs the system, I answer for the numbers, and the function is configured around your company.

Talk to Cai Or email ty@slicecfo.com directly.