What Paige does · Atlanta, GA
45 workloads. On a machine in your office. A person approves every send.
You have seen the lists: forty-five AI automations you can build this weekend, no code. The productivity is real, and you should want it. The catch is that almost every one of those automations runs in the cloud and routes your client data through servers you do not control. Here is the same work, run by a private AI employee on hardware in your own office, with your client data staying on your network.
The short version
A private AI employee can do the same drafting, summarizing, intake, and follow-up work the viral automation lists describe, but it runs on a machine in your own office instead of a vendor's cloud. Client content stays on your network, you own the hardware and the models, and a person on your team approves anything that goes out. The work gets done. The data stays home.
The work Paige clears for a firm
We turn these on one at a time, starting with the back-office work local models handle best. Each one passes a quality check on your own hardware before it goes live, and anything that leaves the building is drafted for a person to approve first.
Client email and replies
The inbox is where most of the day goes. Paige drafts, a person on your team approves and sends.
- Drafts replies to client emails in your firm's voice
- Turns a one-line instruction into a full, formatted reply
- Writes status updates ('where is my file') from your own records
- Drafts follow-up messages for threads that never got an answer
- Drafts polite declines for pitches and requests you need to turn down
- Writes thank-you and check-in notes that reference the actual conversation
- Rewrites a rough draft into your firm's tone before a person sends it
- Prepares ready-to-edit answers to the questions you get over and over
Documents and summaries
The reading pile that eats focus time, handled on the box where the documents already live.
- Summarizes a long email thread into a short readout
- Summarizes a contract, notice, or statement into plain language
- Pulls the key dates, numbers, and obligations out of a document
- Answers a plain question about your own files with a citation to the source page
- Compares two versions of a document and lists what changed
- Prepares a one-page brief before a meeting from the file history
- Turns meeting notes into decisions, action items, and next steps
- Combines a stack of documents into one summarized readout
- Pulls a clean summary out of a transcript or recording you provide
Intake, data entry, and records
The copy-paste work that never gets done, done on your network instead of in a vendor's cloud.
- Reads the documents a client sends and pulls the details into your system
- Fills in intake forms from information the client already provided
- Catches missing fields and flags what to go back and ask the client for
- Categorizes and labels incoming documents so they file themselves
- Keeps a running client record up to date from new messages
- Drafts an onboarding packet for a new client from your template
- Builds an intake questionnaire tailored to the engagement
- Turns a spreadsheet the firm runs on into a clean, summarized view
- Prepares a draft invoice from project details, for a person to review and send
Research and monitoring
Paige watches the sources you connect and brings you the signal. You decide what she can see.
- Scans the sources you choose each morning and briefs you on what matters
- Tracks news and changes about your top accounts or your competitors
- Pulls a prospect's public background into a one-page prep sheet before a call
- Watches for renewal dates, deadlines, and follow-up windows and surfaces them
- Summarizes a long report or article against the work your firm actually does
- Compiles a weekly digest of what happened across the inboxes you connect
- Flags the threads that need a human reply today
- Collects positive client feedback into a file you can reuse later
Back-office and operations
The recurring busywork that keeps a small firm running, drafted for a person to sign off on.
- Drafts a client update from your project log or task tracker
- Turns a rough process description into a written standard operating procedure
- Drafts proposals from your template, scoped to the engagement
- Builds a first-draft FAQ from the questions clients actually ask
- Organizes and renames files following a naming convention you set
- Processes receipts into a categorized, totaled sheet for review
- Generates subject-line and headline options for a piece of outreach
- Reviews your stated goals against progress and drafts a monthly readout
- Sorts a voice memo or brain dump into tasks, ideas, and follow-ups
- Drafts a client newsletter from the month's updates, for a person to approve
- Prepares a meeting agenda from the open items in a thread
The difference is not the task. It is where the work happens.
A weekend cloud automation and a private AI employee can draft the same email. What sets them apart is everything around that draft.
Where your data lives
A cloud automation sends your client content to servers you do not run. Paige works on a machine in your office, so the default is that nothing leaves your network.
Who presses send
A scheduled automation can fire on its own. Paige drafts and waits. A person on your team approves every outgoing message, enforced by the system.
What you own
With a cloud tool you rent access and babysit a subscription. With Paige you own the hardware, the models, and the credentials. If you cancel, you keep the box and the runbook.
On-prem AI is not a rule you have to follow, and we are not telling you it makes your firm compliant with anything. We build and install software and give you a documented way to audit where your data goes. We are not your accountant or attorney. For the longer version, read the question the viral automation lists skip.
Common questions
Can I get these AI automations without sending client data to the cloud?
Yes. Paige runs on a small dedicated machine W&S installs on your own office network, using local AI models. The default is that client content stays on your network instead of traveling to a vendor's cloud. At install we verify that no client content leaves your network and hand you a runbook so your own IT person can re-verify it 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.
Does Paige send messages on her own?
No. Anything that goes out is drafted and waits for a person on your team to approve it. The approval gate is enforced by the system, not by a policy someone could quietly relax. Paige drafts, summarizes, and prepares. A person clicks send.
Do I have to turn all of these on at once?
No. We turn workloads on one at a time, starting with the back-office work local models handle best, and each one passes a quality check on your own hardware before it goes live. You decide what Paige can see and what she works on.
Will my data be used to train an AI model?
The models run locally on hardware you own, so in the default configuration there is no vendor receiving your content to train on. Some consumer-grade cloud tools may use what you type to improve their models unless you opt out, which is exactly the exposure a local setup removes.
What does it cost to run a private AI employee?
An optional data residency assessment runs $500 to $1,500. The install starts at $3,000 in person, with hardware passed through at cost. Ongoing management is a retainer from $300 per month. You own the hardware and the models from day one, and if you cancel you keep the box, the models, and the runbook.
Pick the first workload. We turn it on together.
15 minutes. Tell us where your week goes, and we will show you which of these Paige handles first on a machine in your own office, with a person approving every send.