AI consulting · digital coworkers · Minneapolis
Digital coworkers that clock in.
QRK Tech builds private AI coworkers that work inside your business systems: triaging tickets, running projects, researching quotes. Each has its own secure workstation and a memory, and a person stays in charge of every decision that matters.
- Nothing held hostage
- Open-weight models first
- Air-gap capable
Hazel, Project Manager
- 08:30TeamsSent Monday work lists to 4 project technicians, past-due tasks first.SentSent
- 09:04PSARead the new statement of work for a 42-seat office move. Drafted 11 tasks across 3 milestones.Awaiting approvalAwaiting approval
- 09:20CalendarMatched each task to a qualified technician with open hours. Flagged one Thursday conflict.DraftedDrafted
- 10:02PSAPlan approved. Created the tasks, then read every one back. Owners, dates, and budgets match.VerifiedVerified
- 13:15PSASwitch install is 3 days past due with no activity. Left the assigned tech a private follow-up.SentSent
- 14:40TeamsMessaged the Director of Projects: a vendor delay now puts Friday’s cutover at risk.EscalatedEscalated
A typical day, with customer details changed.
A chatbot answers.
A coworker does the job.
Where it works
ChatbotA browser tab you have to open.
CoworkerInside your PSA, CRM, inbox, and Teams.
When it works
ChatbotWhen someone types a question.
CoworkerOn schedules, on events, and when it notices something.
What it remembers
ChatbotThis conversation, maybe.
CoworkerCustomers, projects, people, and past decisions.
What you get back
ChatbotText to copy, paste, fix, and file.
CoworkerFinished work: updated records, real documents, sent follow-ups.
Who checks it
ChatbotYou, every time, by rereading it.
CoworkerIt verifies its own writes. You approve what matters.
Where your data goes
ChatbotInto a vendor’s cloud.
CoworkerYour private environment, on your terms.
Every coworker gets a desk on day one.
- 01
Its own computer
A private, isolated workstation with its own files, terminal, and office tools. Nothing is shared with other coworkers or customers.
How it works - 02
Keys to exactly the right systems
Role-scoped access to your PSA, CRM, ERP, inbox, and files, enforced by the server rather than by a prompt.
How it works - 03
A memory that compounds
Its own long-term memory plus shared department memory, so context carries from one task to the next.
How it works - 04
A calendar of its own
Scheduled check-ins, event triggers, and follow-ups it schedules itself once you’ve approved the work.
How it works - 05
A seat in Teams and an inbox
It messages people first when something needs them, gets CC’d on threads, and replies only when it’s useful.
How it works - 06
Office tools, with an eye for detail
Finished Word, Excel, PowerPoint, and PDF deliverables. It renders every page and inspects the result before handing it over.
How it works - 07
A team when the job is big
Helpers for parallel research, or a work board of dedicated worker lanes for jobs with hundreds of items.
How it works - 08
A manager: you
Approval gates where you want them, escalation when it’s stuck, and a full record of everything it did.
How it works
Already clocked in at real businesses.
Managed IT · Project management
30+
hours of project-management work handled every week
Hazel, the AI project manager
Hazel turns a signed scope of work into a staffed, scheduled project in the PSA, then chases it to done: technician work lists, follow-ups, customer updates, and a direct message to management the moment a deadline is at risk.
Read the case studyManaged IT · Service desk
Gus · Service Desk Triage
Service desk triage that answers in minutes and grades its own work every night
Minutes
to a first question or routing update on PSA tickets
Managed IT · Account management
Vera · Account Manager
An AI account manager that does the research before you’ve finished asking
1 message
from “what should we quote?” to a reasoned draft
Managed IT · Sales operations
Pipeline review crew · Sales Pipeline Review
Every open opportunity, scored on evidence, on schedule
Every
open opportunity reviewed, one card each
- to draft a technician-ready project plan
- 4h → 15mto draft a technician-ready project plan
- to review one ticket’s status and next step
- 45m → 30sto review one ticket’s status and next step
- ticket patterns learned from real precedent
- 200+ticket patterns learned from real precedent
- in a quarterly review deck, built from live evidence
- 21 slidesin a quarterly review deck, built from live evidence
Time figures are the team’s own estimates; a person reviews the coworker’s work.
Built for the work your team repeats every week.
By industry
- MSPs & IT servicesTriage, project management, QBRs, and account management in your PSA
- Accounting firmsDocument chasing, reconciliation, close checklists, client updates
- Law firmsIntake, matter status, deadlines, documents, and billing review
- Healthcare practicesReferrals, scheduling gaps, claim follow-up, front-office load
- Construction & field servicesDispatch, RFIs, daily reports, change orders, sub compliance
- Manufacturing & distributionPO matching, order status, supplier follow-up, quoting
- Insurance & financial servicesRenewals, COI requests, onboarding documents, CRM hygiene
- Property managementMaintenance triage, vendor dispatch, tenant updates, renewals
By role
- AI Project Manager
- AI Account Manager
- AI Service Desk Agent
- AI Sales Coordinator
- AI Operations Coordinator
- AI Reporting Analyst
Don’t see your job? If you can explain it to a new hire, tell us about it.
From one repeated job to a working coworker.
- 1
Map the job
We sit with the people who do it, write down every step, and measure how long it takes today.
- 2
Decide honestly
Agent, simple automation, or a process fix? We pick the cheapest thing that works, and tell you when it isn’t AI.
- 3
Build the coworker
Workstation, connectors, skills, memory, and guardrails, tested against real scenarios from your business.
- 4
Clock in, approvals on
It starts with a person approving its work. Permissions grow as trust does, never the other way around.
- 5
Measure & manage
We track hours returned, accuracy, and adoption. We run it, back it up, and keep improving it, or hand it to your team.
Your data stays home.
Your processes stay yours.
Runs where you choose
Your cloud, your server room, or fully air-gapped. Every layer can live on hardware you own.
Open-weight models first
Served on your GPUs or by zero-data-retention providers. Proprietary models only when they guarantee ZDR and the job needs them.
Locked down by default
Deny-first networking, role-scoped access, sealed configuration, and a full audit trail. Enforced by the system, not a prompt.
Nothing held hostage
Skills, memory, connectors, and configuration are yours and portable. Leave whenever you like.
- Coworker workstation
- Memory banks
- Open-weight models
- Your business systems
Does your business have a job for one?
Your score
Think of one job.
Pick something your team does every week, then check each statement that’s true about it.
Talk it throughQuestions, answered plainly.
What is a digital coworker?
A digital coworker is an AI agent with a defined job. It has its own secure workstation, access to the systems that job needs, long-term memory, and a manager. It works inside your PSA, CRM, inbox, and Teams, on schedules and events, and asks for approval where you want it.
How is this different from ChatGPT or Copilot?
A chatbot answers questions and then forgets. A digital coworker does a specific job the same way every time. It uses your real records, puts the result where your team works, verifies its own changes, and remembers what happened for next time.
What kinds of jobs can a digital coworker do?
Repeatable work that needs judgment: ticket triage, project coordination, account reviews, quote research, reconciliation, document collection, reporting, and follow-up. If you can explain the job to a new hire, it’s worth a look.
Is our data used to train AI models?
No. We use open-weight models by default, run on hardware you control or through providers with strict zero-data-retention terms. We only use a proprietary model when a provider guarantees zero data retention and the job genuinely needs it.
Can it run on our own infrastructure, or air-gapped?
Yes. The models, memory, and the coworker’s workstation can all run on hardware you own, connecting to outside services only where you choose. We’ll size the right setup during discovery.
How long does it take to deploy one?
A focused first coworker usually takes a few weeks, from mapping the job with your team to running it with approvals on. It depends mostly on how many systems it needs to reach and whether connectors already exist.
What does it cost?
It depends on the job, the systems, and where it runs. Every engagement starts with a short conversation and a scoped estimate tied to the hours the coworker should return. You’ll know the expected value before you commit.
What if we want to stop working with you?
You keep everything: skills, memory, connectors, and configuration. We build so that nothing is held hostage, and you can run it yourself or take it elsewhere.
Next step
Pick one job your team repeats.
We’ll sit down with the people who do it, map the steps, and put a number on the time. If a digital coworker is the right tool, you’ll know what it would return before you commit. If it isn’t, we’ll say so.