stillwater

Private AI operations practice

We take on the repetitive work. Your people keep the decisions.

stillwater builds and runs private AI workflows for family enterprises: the office, the businesses it owns, and the sensitive operating units around them. We are an operations practice, not a login.

Your data is never used to train models · A named person approves anything that moves money · Every run is logged and auditable

What we will not do

The objections are the design.

Not a tool your staff has to run.

We configure the workflow, operate it, and maintain it. Your people review results and make decisions. They do not inherit another console.

Not a pooled workspace for sensitive records.

Each engagement is separated, logged, and grounded in the records you authorize. Your documents are never used to train models.

Not automation without a named human gate.

Anything touching money, privilege, or a commitment pauses. The system prepares the work. A person decides.

The work

Start where the work is already painful.

Each engagement begins with one recurring job. We adapt the workflow to your records, people, controls, and tolerance for separation.

Family office operations

Portfolio reporting, capital-call and K-1 processing, document search, diligence screening, and quarterly operating packages.

Owned businesses

Recurring administrative work, finance workflows, vendor coordination, operational reporting, and executive briefings across business units.

Professional practices

Document-heavy operations, intake, scheduling, billing visibility, production tracking, and management-company replacement paths.

Risk and fraud controls

Screens for changed payment instructions, look-alike domains, duplicate invoices, missing approvals, and pressure tactics.

Records and governance

Cited answers across agreements, policies, statements, entity records, and institutional memory that survives staff turnover.

Proof pattern

What a human gate looks like in practice.

A capital call arrives by email: $2.4M, due in four days, with updated banking details and a request to confirm same day.

The workflow extracts the terms, checks the amount against known commitments, compares the wire instructions to the details on file, and flags the change.

It does not pay. It holds the request for the controller, with a checklist that starts: call the fund on the number on file.

Umber marks the human decision. The accent appears only where a named person decides.

Workflow diagram ending at a human approval gateLedger table with a signed human decision row

How it runs

A service engagement, not a software rollout.

01

Map the work.

We start with the repetitive jobs where the cost, delay, or dependence is already visible.

02

Prove it safely.

We run the first workflow against synthetic or limited-scope data before it touches anything consequential.

03

Hold the gate.

Your named decision-makers keep the controls they already trust. The system prepares; they approve, reject, or ask for more.

04

Run and expand.

We operate the workflow on a flat retainer, then add the next piece of work when the first one has earned it.

Questions

Plain answers before a private conversation.

Is Stillwater a software platform?

No. We use software, but you buy the operated work. The platform stays in the background.

Where does the data live?

In a dedicated environment scoped to the engagement. For offices that need full separation, we can stand up an AI island on hardware they own.

How is this billed?

A setup engagement plus a flat monthly retainer. Pricing follows the work, the entity structure, and the level of separation required.

Can this serve more than a family office?

Yes. Stillwater is built for family enterprises: the office, the businesses it owns, and the sensitive operating units around them.

Private inquiry

See it run against synthetic data. Then decide whether the first workflow is worth proving.

hello@stillwatr.io

Getting started commits you to nothing. The first walkthrough runs on synthetic data.