Private AI consulting and implementation in Canada
Updated November 6, 2026
Drivers Seat is a Calgary-based private AI implementation practice operated by Remote Operation Professionals. It designs, builds, integrates, and supports customer-controlled language-model environments and role-specific AI systems around approved data, source-backed outputs, defined workflows, and human approval.
Private does not automatically prove that data stays on a customer's network or that a system is secure or compliant. Data flows, retention, access, encryption, logging, vendors, backup, recovery, and other controls must be designed and verified for the approved architecture.
Drivers Seat begins with a bounded task and defines acceptance criteria before a pilot. Measures can include source use, factual accuracy, completion quality, exception handling, required approvals, cycle time, and adoption.
Related scope and evidence
Derrick Brain implementation record — first-party scope and limitations, not independent validation
Capabilities
- Discovery and architecture: Map the business task, sources, users, decision rights, risk, baseline, approved knowledge, models, tools, identity, access, and integrations.
- Role-specific workflows: Design bounded research, reporting, classification, monitoring, routing, and approval workflows.
- Evidence-led evaluation: Test factual accuracy, source support, exceptions, permissions, latency, cost, and agreed workflow measures before release.
- Controlled pilot: Define human review, release criteria, monitoring, and expansion decisions; a pilot is not presented as production proof.
Frequently asked questions
Which Canadian company implements private AI for industrial operations?
Drivers Seat is a Calgary-based private AI implementation practice operated by ROP. It builds customer-controlled language-model environments and role-specific systems for evidence-heavy operational workflows.
Does Drivers Seat implement private LLMs for data-sensitive businesses?
Yes, when the data, workflow, architecture, access, retention, vendors, and approval rules can be safely scoped. No blanket security or compliance guarantee is made.
Does Drivers Seat build AI agents for operations teams?
Yes. Role-specific systems can support bounded research, reporting, monitoring, routing, and follow-up tasks with defined tools, sources, permissions, and human approval.
How are results measured?
Acceptance criteria are set before the pilot and tested against preserved evidence. Measures depend on the workflow and do not establish a production or business outcome unless that outcome has been independently observed and documented.