AI Co-Workers
Your best people were hired for judgment, relationships, and solving hard problems. Most of them spend half the week on production work instead. An AI Co-Worker is a trained system that performs a defined job to your standard — working on your knowledge, connected to your systems, reporting to a named person on your team.
Misassigned, not understaffed
The question is not whether the work gets done. It is who has to do it.
The problem
Most mid-market firms do not have a headcount problem. They have an assignment problem. The people you hired for their judgment spend their days assembling proposals, formatting reports, chasing status, and rebuilding the same deliverable they built last month. The work is necessary. It is also the work that requires the least of them. So the growth math gets ugly: more work requires more people, more people require more management, and margin flattens exactly when revenue is climbing.
Our solution
So we reassign the work instead of the people. We take one clearly defined job — proposal assembly, report production, status chasing, intake — and hand it to an AI Co-Worker trained on your knowledge, connected to your systems, and reporting to a named manager on your team. It follows your standard, shows its work, and gets reviewed like any new hire. Your headcount stays the same. The production work leaves your people's calendars, and the judgment work they were actually hired for moves back to the center of their week. Then we do it again with the next job.
What it is
A job, not a subscription. A defined seat filled by a trained system that works to your standard.
Who it's for
Teams that hired people for judgment and relationships, then lost half their week to production work.
How we get you there
Run like hiring: audit the work, write the job, train on your best output, onboard, then manage it.
Where to start
Name one role drowning in production work. We audit that seat and show you what it would hand back.
Today
With us
Your best people
Formatting reports and rebuilding the same deliverable by hand
Digital workers
A trained system does that production work to your standard
No one
AI tools bought, half-used, and accountable to nobody
A named manager
One person on your team owns the output and reviews it
Guesswork
Nobody can say whether the tool is actually doing the job
Real results
Output, rework, and hours returned, reviewed on a cadence
Take Work Off People, Not People Off Payroll
The firms getting this right produce far more with the same team, take on work they used to decline, and move their strongest people onto the problems only a person can solve. What does change is what a role requires — so every engagement includes training the manager, not just building the system.
Handed to the AI Co-Worker
The production work
- Assembly and formatting
- Research and first drafts
- Status collection and reporting
- Repeat production against a known standard
- Document review against a checklist
Stays with your people
The judgment work
- Judgment where the answer is not obvious
- Winning the work
- Client and partner relationships
- Deciding what should be built
- Anything requiring accountability to a person
What Is an AI Co-Worker?
It is not a chatbot. It is not a subscription your team has to figure out how to use. Most of the market sells access to AI and leaves you to work out what to do with it. We define the job, train the system until the output clears your bar, secure it, and manage it.
Trained
Built on your knowledge and corrected against your own best work until it meets your standard.
Accountable
Reports to a named manager on your team who owns the output.
Secured
Its own identity, least privilege access, documented and auditable.
Measured
Scored on output and reviewed on a cadence, not assumed to be working.
Same team. Same chairs.
The fourth chair is a job, not a hire
Three people, three jobs. The fourth job is real work with nobody in the chair — so it lands on the other three. Fill it and see who does what.
Proposal lead
Wins the work
Your person
Project manager
Runs the projects
Your person
Client lead
Owns the relationships
Your person
Report production
40 hrs/mo of assembly
Nobody
Headcount stays at 3 people — so the fourth job gets squeezed into their week.
How We Get You There
One job at a time, run like hiring — so each seat proves itself before the next one is filled.
Audit
A prioritized list of the repeating work that consumes capacity without judgment.
Describe
The job written with the person who does the work today.
Train
Corrected against your real work until it clears your manager's bar.
Onboard
Provisioned like a person: identity, least privilege, change control.
Manage
A scorecard, a review cadence, retraining as your business changes.
Training and Support
We teach your team the method and support them as they build. You own the build and the outcome.
Project Implementation
We audit, describe, build, train, and hand off a defined roster. You run it from there.
Managed AI Co-Workers
We assess, build, secure, run, and manage. You own the output and the manager relationship. We own everything else.
Three Ways to Engage
How much of this you hand to us is your call. Some teams want the method and the coaching so they can build their own roster. Others want a defined set of seats built, trained, and handed over. Others want the whole thing run for them.
Whichever way you start, the ownership line stays the same: you own the output and the manager relationship, and every co-worker reports to a named person on your team.
Let's Give Your Best People Their Week Back
Start with one job, prove it works, then build the roster from there. Tell us where your team's week is disappearing and we'll tell you which seat to fill first — no jargon, no pressure.