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AI Leadership on Your Side
Monthly owner and controller alignment, a rolling 90-day build list, and one AI job chosen at a time, written in one sentence: when this arrives, this gets done, checked by this person.
Direction, not a deck.
AI Leadership · For contractors servicing the oil patch
Fractional AI Leadership for Oil Patch Contractors
We make AI work behind the work.
Ongoing AI leadership for Indigenous-owned and independent contractors servicing Alberta's oil patch: deciding which job AI takes first, building it inside the account you already own, training the person who runs it, and staying until your own people can run every system.
AI Leadership at Your TableA monthly seat beside the owner or controller, deciding which job AI takes first.
Hands-On BuildsPlaybooks built and run, not recommended and left on a shelf.
One Data FoundationEvery number typed once, inside the account you already own.
Capacity in Your PeopleYour staff trained to run every system after hand-over.
Built for the contractors behind Alberta's oil patch
Maintenance & constructionTrucking & haulingRentals & fleetService rigsFacilities & campsEnvironmentalIndigenous-owned contractorsDevelopment corporationsJoint ventures
No client logos here yet. We are launching in Q4 2026, and we say so.
In the words of our founder
“I spent more than twelve years on rotation, from Long Lake to Fort Hills, watching good crews lose a day to paperwork. The fix was never another app. It was one source, one approver and one person who knows how to run it.”
Farai · Founder, Oil Patch AI Systems
Read the founding story →Our perspective, in writing
AI may read, draft and check. It never signs.
The Oil Patch AI Doctrine sets out what AI is allowed to do in a contractor's office, where the data lives, who approves every output, and the line we will not cross for any client.
Read the Oil Patch AI DoctrineThe integrated system
Everything required to make AI work behind the work.
AI needs more than a tool. It needs someone deciding which job comes first, someone building it properly, one source of numbers underneath, and people inside the company who can run it. This service brings all four.
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Hands-On Implementation
Fixed-scope playbooks built in 1 to 3 weeks: field tickets, dispatch, certifications, safety paperwork, bids and reporting. Each one runs beside your people before anyone relies on it.
Built and measured, not recommended.
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One Data Foundation
Your jobs, workers, units and PO lines kept in one source inside your Microsoft or Google tenant, with a named approver on every step and nothing leaving the building unsigned.
Typed once, used everywhere.
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Capacity in Your People
A named owner, a training date and a one-page SOP for every step, so your controller, billing coordinator, dispatcher and safety lead can run each system without us.
Skills that stay when we leave.
How AI gets working
The Monthly Operating System
An ongoing monthly engagement with a rolling 90-day build list. Every month runs the same four weeks, so your office always knows what is being built, who approves it and who will run it.
Week 1
Owner Alignment
- Review the numbers you already watch
- Update the rolling 90-day build list
- Pick this month's one AI job
- Confirm who approves each step
Week 2
Desk Walk
- Sit with each desk that re-types the job
- Map every seam the numbers cross
- Score readiness for the next playbook
- Pull last month's tickets or reports as the test set
Week 3
Build Sprint
- Build the playbook step inside your tenant
- Shadow-run it beside your person
- Set the approval gate before anything goes out
- Log every flag the AI could not read
Week 4
Hand-Over & Training
- Train the named owner on the live step
- Write the one-page SOP
- Deliver the monthly report from your own records
- Prepare next month's job
Measured with you
What we count when AI actually works.
Not hours promised in a sales call. Each number is counted from your own records in week 1, then reported back to you every month against that baseline.
Daysticket to invoice
Signed ticket date against invoice date, from your own billing records.
First-passsubmissions
Invoices accepted by the portal the first time, against those sent back.
Hoursre-typing a week
The numbers each desk types twice, counted for five days in week 1.
Peopletrained to run it
Staff named, trained and signed off as the owner of each live step.
Reported monthly with the hand-over reportBaseline counted from your records, never estimated
Engagement options
Structured for the company you run.
From one front-door audit to a portfolio of companies. Every option is fixed in scope, and pricing is set after the front door, once we know what it found.
Week 1
Front Door
- Field Ticket Leak Audit: 12 checks on last month's tickets, paid from what it finds
- Or the Reporting Readiness Review for Indigenous group offices
- Every seam mapped before anything is built
- The one AI job worth doing first, in one sentence
- No new app for the crews
Fixed scope, 1 to 3 weeks
Playbook Build
- One playbook built inside your own tenant
- Shadow-run beside your person before it is trusted
- A named approver on every step
- Training and a one-page SOP for the owner
- Uses the Copilot or Gemini licences you may already have
Monthly operating system
Managed Service
- Fractional AI leadership at your table every month
- A new playbook step each month on the same foundation
- Every playbook run, checked and updated
- Monthly report built from your own records
- One accountable partner
For group offices running 5 to 20+ companies
Group & JV Portfolio
- One data foundation across the portfolio
- Board pack and spend reporting on demand
- JV partner data settled in writing first
- Capacity built in your own members
FAQ
Frequently Asked Questions
How fractional AI leadership works for contractors servicing the oil patch.
Why isn't AI working for most contractors yet?
Because most AI arrives as another app, not as a system. A contractor ends up with a chatbot on one desk, a ticketing app the crews stopped opening, and the same numbers still typed into the ticket, the portal, payroll and the quarterly report.
AI starts to work when one job is written down, one source of numbers is set up inside the account you already own, and a named person approves what the AI drafts. That is the work this service does.
What is fractional AI leadership?
A part-time AI lead on your side of the table. Each month we sit with the owner or controller, pick the one job AI takes off a desk next, build it, train the person who will run it, and report what changed. You get the direction of a senior AI hire without adding a salary or a department.
How is this different from hiring an AI consultant?
A consultant usually hands over a strategy deck and leaves. This service builds the playbooks, runs them beside your people, and stays month after month until your own staff can run every system.
Every engagement is fixed in scope, every step has a named owner inside your company, and nothing is built in an account you do not control.
Where does our data live?
Inside your company's own Microsoft 365 or Google Workspace account, using the Copilot or Gemini licences you may already pay for. Your data never trains a public model. For Nation-owned companies, data terms are aligned with OCAP® principles and settled in writing before anything is built.
How quickly will we see something working?
The front door (the Field Ticket Leak Audit or the Reporting Readiness Review) runs in week 1. A playbook is a fixed-scope build of 1 to 3 weeks, run beside your people before it is trusted. We do not promise days saved or dollars recovered before we have counted them with you from your own records.
Will this replace anyone in our office?
No. The promise is capacity, not cuts. AI takes the re-typing. The person who used to re-type keeps the decision, puts their name beside the step as the approver, and is trained to run the system. For Nation-owned companies, the skills stay with your members.
Ready to make AI work behind the work?
Start with a 30-minute discovery audit. Bring last month's tickets or your last quarterly report. We'll bring the checks.