Your list gets worked. Your calls get answered. Your roles get filled. How the work gets done stops living in one person's head. Especially on the days you are too busy to do any of it.
Hiring, operations, sales and intake, run end to end by hand before any of it was software.
Every worker was built by someone who had already done that job under pressure.
None of this was designed on a whiteboard. It was rebuilt from what actually worked.
Feast and famine. Growth stops the week you get busy, because the owner is the only rainmaker.
A list nobody works. Past clients, quotes that never closed, referral sources who have not heard from you in a year.
The call that went to voicemail. Somebody ready to spend called while everyone billable was busy. They called the next name on the list, and it never appeared in a report.
Whoever picked up decided. Bad-fit work gets accepted because it arrived first, not because it was a fit.
The resume pile. The best candidate is in there. Nobody has 40 hours to find them, so the shortlist is whoever applied first.
The 25% tax. Traditional recruiters charge 20–25% of first-year salary for a resume and a phone screen.
Tribal knowledge you cannot reach. How the work actually gets done lives in your senior people's heads, and it leaves when they do.
Fragmented systems. An ATS here, spreadsheets there, notes in somebody's inbox. Nobody trusts the numbers enough to decide on them.
Right now you cannot take on more work without adding more people.
That is the assumption this breaks. A worker owns each of the four, and an operator owns the outcome.
Sales and marketing, intake, hiring, operations. In a 5-to-50-person service business these are rarely anybody's actual job, so they run on the owner. A digital worker owns each one, an expert-in-the-loop stays accountable for what they produce, and TalentOS is the system underneath: the rubrics, SOPs, candidate history and intake rules that normally live in somebody's head and leave when they do.
Without it: feast and famine. The owner is the only rainmaker, so growth stops the week they get busy delivering.
Without it: leads rot. Nobody answers at 4:47 on a Friday, and bad-fit work gets accepted because it showed up first.
Without it: growth is capped by who you can personally find, and every search restarts from nothing.
Without it: knowledge lives in heads, quality varies by who picked up the job, and a resignation is a data-loss event.
Five to fifty people, selling time and expertise, with operations that run reactively rather than by design. Rarely short of demand, usually short of the ability to absorb it. The same four functions, breaking differently in each one.
Most of it is lost before anyone opens a file. A potential client calls about a matter, reaches voicemail because everyone billable is in a hearing, and calls the next firm on the list, so the case is gone without ever appearing in a report. What survives is often decided by whoever happened to pick up, which is how bad-fit matters get signed and conflicts get caught late.
Because the hiring bar is written in certifications and the job is judged on composure under pressure. A resume shows who passed an exam, not who can run a 2am escalation with the client on the line, so screening filters on the wrong signal and the interview becomes a guess. The same gap shows up after the hire: the runbook covers the last three incidents and nothing else.
By making sure the first call is answered and qualified while the chair is still full. New-patient calls arrive during procedures, go to voicemail, and are not returned until the next day, by which time the caller has booked with whoever picked up. Insurance and availability questions asked at that first contact decide whether the appointment ever gets made.
Because the customer calls the next number on the list before you get back to the truck. Demand is usually not the problem. A missed call at 4:47 on a Friday is simply a lost job, and it never shows up anywhere as a number. Crews are busy delivering, so the work that wins the next job stops the week the work gets heavy.
Your workers interview you: the firm, the roles, the bar, the way you work.
Candidate pipeline, jobs, branding, content and workspaces. The workers learn how your business actually runs, so nothing starts from a blank page again.
This is the done-with-you part, and the reason it does not go quiet in five weeks. Your expert-in-the-loop owns the output while the workers carry the volume: shortlists from Sara, SOPs from Ted, outbound from Mark, first contact from Ira. Once the function runs clean the routine stays with the workers, and your COO-in-the-loop keeps the judgment calls.
Every plan includes all four digital workers: Mark, Ira, Sara and Ted. Credits meter the AI work, so plans differ in volume rather than in what you get. Solo and Team start on 500 free credits. Posting to the job board is free and human-reviewed, and plans differ in how many roles you keep live at the same time, not how many you can post.
Posting on the TalentOS job board is free, and every listing is reviewed by a human before it goes live. Applicants land directly in your pipeline, where Sara reads every one, so candidates hear back either way, accepted or not.
TalentOS is a fractional services COO: an operator who systematizes a service business's operations, with AI at the core, four digital workers, and an expert in the loop. Every service business runs on the same four functions: sales and marketing, intake, hiring, and operations. A digital worker owns each one. TalentOS is the system underneath them, holding the rubrics, SOPs, candidate history and intake rules that a small business normally loses every time somebody leaves. It is what you keep when the engagement ends.
A digital worker is an AI agent that owns a business function end-to-end rather than autocompleting text. It uses your tools, keeps long-term memory, runs background tasks, produces saved artifacts and report visualizations, and hands decisions to humans. TalentOS is the OS for AI workers.
Four, one per function, and all four are live. Mark owns sales and marketing: outbound and follow-up on the list you already have, in your voice and against your ICP. Ira owns intake: answering, qualifying and routing new work the hour it arrives, to rules you set rather than a phone tree. Sara owns hiring: sourcing, screening and scoring candidates, citing the source document word for word for every rating. Ted owns operations: living SOPs, process answers, onboarding plans and background research. An expert-in-the-loop stays accountable for what all four produce.
An expert in the loop is a named human who owns what the AI produces rather than supervising it in theory. Most AI fails in a service business for one boring reason: nobody owns it. It gets bought, gets a login, and goes quiet in five weeks. TalentOS ships that person alongside the software as a forward-deployed operator, meaning they work inside your business rather than advising it from outside. On a Fractional COO engagement they run one of your four functions directly for about ninety days with AI carrying the volume, then the routine moves to the digital worker while they stay on as your COO-in-the-loop for the judgment calls. It is done-with-you rather than done-for-you, and the system it all runs on is yours to keep.
Every worker is built so its output can be audited rather than trusted. Sara cites the source document word for word for every rating, and caps the score instead of guessing when the evidence is not there. Ted's SOPs are versioned and review-gated, so a change arrives as a proposal with a changelog and only applies once a human approves it. Mark writes from your own SOPs, wins and knowledge base rather than inventing claims about your business. Ira runs to the intake rules you set and records what the caller actually said. That is an epistemic guarantee rather than a marketing one: you can open the work and check it against the source. Bring a real role or a real call to a demo and check it yourself.
Mark is your AI outbound manager. He works the list you already have, meaning past clients, quotes that never closed and referral sources who have not heard from you in a year. He writes against your ICP and in your voice, drawing on your own SOPs, wins and knowledge base rather than starting from a blank page, and he sequences follow-up so nothing goes quiet after the first email. Campaigns and content come off the same libraries the other three workers read and write. He brings you the reply; the judgment call stays with you.
Ira is your AI receptionist. She answers, qualifies and routes new work the hour it arrives, running to the intake rules you set rather than a phone tree. She captures the ask, the fit and the urgency on first contact, books straight into the calendar with the notes already attached, and flags a bad-fit enquiry before it becomes a bad-fit client. In a law firm that is the new matter that would otherwise have reached voicemail during a hearing. In a dental practice it is the new-patient call that arrives mid-procedure. In a trades business it is the 4:47 Friday call that never appears in a report.
Sara analyzes every candidate against your actual job description across experience, education, skills, and custom criteria you set in plain English. Every analysis cites verbatim resume quotes that the system verifies word for word, and unverifiable evidence caps the rating rather than passing quietly. You get fit buckets rather than false-precision percentages, red and green flags, and a recommendation you can defend. She also sources against a role brief, rediscovers past applicants who match a role you are filling now, and runs pipeline analysis, screening scorecards and custom boards.
Ted turns notes, a transcript or an old document into a structured SOP and keeps it current as a living, versioned record. He listens in on meetings with speaker awareness, answers how a task is done, who owns it and where it lives, and builds week-by-week onboarding plans running from before day one through 30/60/90. He also researches a topic in the background from vetted sources and posts a cited brief. Updates are review-gated: Ted proposes the change with a changelog, and a human approves it before it applies. New hires ask Ted instead of interrupting your senior people.
TalentOS connects to the tools a service business already runs on: Google Workspace including Gmail and Drive, Microsoft 365 including Outlook, Notion, Slack, Twilio, Apollo and FullEnrich. Candidates, prospects and applicants flow in, and answers flow back where your team already talks. Plans differ in how many connections you run at once: up to 3 on Solo, up to 5 on Team, and unlimited on Suite. Suite also adds custom integrations, and a one-time integration fee covers bespoke work on any plan.
Pricing is monthly. There is no annual plan. Solo is $100/month for a single user and Team is $400/month for up to five, and both start on 500 free credits. Every plan includes all four digital workers, so what changes between them is volume rather than access. Suite adds custom integrations, SSO and enterprise readiness on a custom quote. Fractional COO runs from $5,000/month on a 3-month minimum and puts a forward-deployed operator in charge of one of your functions for about 90 days, with AI carrying the volume, before the routine moves to the worker. Add-on credits and a one-time integration fee are available per request.
Posting is free and every post is human-reviewed before it goes live. What your plan sets is how many roles you can have live at the same time, not how many you can post. Free runs one live role at a time: close or expire it and the next one goes up, so you can move an unlimited number of roles through the board over time. Solo runs up to 5 roles live at once, and Team and Suite are unlimited. Each post runs 45 days.
Service businesses with roughly 5 to 50 people: law firms, IT services and MSPs, medical and dental practices, and maintenance, trades and field services. What they share is that they sell time and expertise, they are owner-dependent, and their operations run reactively rather than by design. They are rarely short of demand. They are short of the ability to absorb it.
For most firms it becomes the system of record. Firms on an existing applicant tracking system keep it, because TalentOS syncs jobs and candidates and adds the intelligence layer on top. Staffing agencies get Agency Mode: submit candidates into client pipelines behind a hard privacy wall.
Your data shapes your firm's rubrics and knowledge base only, and it is never used to train models for other customers. Integration tokens are encrypted at rest, updates are human-approved, and Suite plans include a security review.
Book a demo and we will run one of your real roles live, so you can check the evidence against the resume yourself.
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