Private AI · Atlanta, GA
Private AI for your firm. Your client data stays in your building.
W&S installs Paige, a private AI employee, on a small dedicated machine on your own office network. She clears the routine pile around the clock: drafting replies, summarizing documents, processing intake, entering data. Your client data stays on your network because it physically cannot leave the building, and a person on your team approves every send.
The short version
A private AI employee runs on hardware in your own office instead of a vendor's cloud, so client information stays on your network. You own the machine and the models. A person approves every outgoing message, enforced by the system. When someone asks where your client data went, the answer is "a machine in our office," and that ends the conversation.
Where does your client data go when your team uses AI?
Most AI tools route your client data through servers you do not control, under terms you did not negotiate. Consumer AI tools may use what your team types to improve their models. For a firm whose whole business is built on confidentiality, that is a real exposure, and it is one you cannot take back. You cannot un-send data to the cloud.
The usual answer is a policy: a rule that says do not paste client information into chatbots. Policies get forgotten under deadline pressure. A private AI employee answers the same question with architecture instead. Private by physics, not by policy.
What a private AI employee actually is
It is a small dedicated machine, the box in your office, running open-source AI models on your own network. Paige works on that machine: she drafts client replies in your voice, summarizes long documents and threads, answers plain questions about your own files with a citation back to the source page, processes intake, and enters data. We turn workloads on one at a time, starting with the back-office work local models handle best, and every workload passes a quality gate on your hardware before it goes live.
What you own, and what we verify at install
You own everything.
The hardware, the models, and the credentials are yours from day one. If you cancel, you keep the box, the models, and the runbook. We remove our own management access and nothing else changes.
We verify it stays local.
At install we verify that no client content leaves your network and document how we verified it. The only thing that reaches W&S is management telemetry: system health, software versions, queue depth. Never content.
A person approves every send.
Paige drafts and stops. A person on your team reads the draft and clicks send. The approval gate is enforced by the system, not by a policy someone could relax later.
You get an audit runbook.
A written document that answers the questions an examiner or IT reviewer will ask: what is logged and where, who has access, patch cadence, encryption, incident process. You keep it either way.
How the engagement works
1. Data residency assessment ($500 to $1,500, optional)
We map where your client data actually goes today across email, storage, and your SaaS tools, and present your options honestly, including staying in the cloud with a zero-retention setup. You keep the document either way.
2. Install (from $3,000, in person)
We set up the machine on your network, connect your tools, turn on the first workloads, train your team, and hand you the runbook. Hardware is purchased after your deposit and passed through at cost. You own it from day one.
3. Run (from $300 per month)
Monitoring, updates, model upgrades, and support: 24 hour response with a next business day resolution target, remote-first. Cancel anytime and keep the box, the models, and the runbook.
Built for firms where confidentiality is the business
If your work involves client files a stranger should never see, the question of where data goes is not academic. Read how on-prem AI fits a specific practice:
Newer to the idea? Start with What Is On-Prem AI? or Where Does Your Client Data Go When You Use AI?
Common questions
What is a private AI employee?
It is an AI worker named Paige that runs on a small dedicated machine W&S installs on your own office network, using local AI models. She drafts replies, summarizes documents and long threads, processes intake, enters data, and prepares follow-ups around the clock. A person on your team approves anything that goes out, and she never sends on her own.
Does my client data leave my office?
In the default configuration, no client content leaves your network. At install we verify that, document how we verified it, and hand you a runbook so your own IT person can re-verify any time. The only thing that reaches W&S is management telemetry: system health, software versions, and queue depth, never content. Any cloud-assisted option is optional, opt-in, and disclosed in the engagement letter.
Who owns the hardware and the AI models?
You do, from day one. The hardware is purchased after your deposit and passed through on the invoice at cost, never marked up. If you cancel, you keep the box, the models, and the runbook. We remove our own management access and nothing else changes.
Can the AI send a message without me seeing it?
No. A person on your team approves every outbound action, and the approval gate is enforced by the system, not by a policy someone could quietly relax later. Paige drafts and a person clicks send.
Is on-prem AI required for compliance?
We do not sell a compliance guarantee, and no honest vendor should. What we give you is possession and a written audit runbook, so your own IT or compliance reviewer can verify exactly where data goes and who has access. You keep that document whether or not you hire us.
What does it cost?
An optional data residency assessment runs $500 to $1,500. Install starts at $3,000 in person, with hardware passed through at cost. Ongoing management is a retainer from $300 per month. Support is a 24 hour response with a next business day resolution target, remote-first.
Walk through where your data goes today.
Fifteen minutes, in person around Atlanta or on a call. We map where your client data travels now, and show you what a private AI employee would change.