Turn your operating knowledge into private AI that works with your team.

Drivers Seat designs and implements customer-controlled language models and role-specific AI systems grounded in your data, workflows and approval rules—proven first in drilling, where they support real-time operations center (RTOC) teams with reporting, engineering review, and drilling optimization work at ROP.

Three ways to work with Drivers Seat: Private LLM Training and Implementation, Role-Specific AI Systems, and Combined Operational AI. Start with one high-value workflow, prove the result, then expand.

Drivers Seat designs, builds, integrates, and supports the private AI environment; Derrick Brain is its drilling-specific intelligence layer and first industry implementation; ROP supplies the operating environment and drilling expertise used to develop, test, and validate it.

Proven first in drilling: Derrick Brain is shaped around operational knowledge, live RTOC context, reporting, drilling optimization review, and high-consequence decisions. The implementation emphasizes controlled knowledge, source-backed outputs, focused workflows, and human approval; this description does not claim a measured business result.

From one workflow to a working system: Scope; Design; Build and validate; Pilot and expand.

Potential patterns include drilling (source-backed reporting and operational context), healthcare administration (document intake and scheduling visibility), legal operations (source-organized matter workflows), construction and field work (daily reports and approval queues), finance and compliance (reconciliations and exception review), ERP and inventory (inventory exceptions and reorder workflows), and food and beverage (supplier follow-up and shift handoffs). These are patterns to scope, not claims of delivered work or professional advice.

Controlled by design means scoping data boundaries and retention, encryption where implemented, role access and least privilege, source receipts, auditability, versioned knowledge, human approval, backup and recovery, connectivity, and third-party dependencies. On-premises, private-cloud, or hybrid options are considered where supported; unverified controls are requirements to scope, not guarantees.

Drivers Seat's governed agent platform supports two distinct deployments: real-time operations center (RTOC) and drilling optimization workflows at Remote Operation Professionals (ROP), and business and field-operations workflows at CT Energy. People remain accountable for review and consequential decisions.

Remote Operation Professionals is the parent company of Drivers Seat. Drivers Seat is a subsidiary of ROP. Drivers Seat builds the private AI platform and Derrick Brain; ROP supplies drilling domain expertise and the operating environment.

ROP drilling deployment: The ROP deployment includes Derrick Brain and role-specific drilling agents for drilling-data collection, source-backed data processing, operational and end-of-well reporting, deep-dive engineering analytics, knowledge retrieval, monitoring context, handovers, exception routing, and human-reviewed outputs. ROP supplies the drilling expertise and RTOC operating environment; Drivers Seat builds the platform and agents. Engineers decide what drilling optimization analysis means for the well.

CT Energy business and field-operations deployment: CT Energy uses agents for invoicing and financial workflows, ERP and inventory tracking, and live web-based paperwork and global tracking. This deployment uses the same Drivers Seat governed agent platform, applied to business and field operations rather than drilling engineering. Accountable people review outputs and consequential actions.

Derrick Box for sensitive data: Derrick Box is the private deployment option for sensitive data. Data boundaries, access, retention, infrastructure dependencies, and review rules are scoped for the environment. A private deployment is not a blanket security or compliance guarantee.

These are first-party descriptions of deployment scope, not independent validation or claims of measured outcomes. No production performance metrics, certifications, or autonomous drilling authority are asserted.

Approved sources, defined workflow boundaries, exception routing, and accountable human review govern both deployments. Drilling decisions remain with accountable personnel; financial and business outputs require the designated reviewers.

Capabilities

• Private LLM Training and Implementation: Customer-controlled language models grounded in approved company knowledge, data, workflows, and operating context.
• Role-Specific AI Systems: Systems shaped around a defined role, task, approval rule, and source set rather than a generic experience.
• Combined Operational AI: A connected private AI environment that brings together language-model work, role-specific systems, and focused operational workflows.

Privacy and safety

Drivers Seat scopes controls with each customer. Depending on requirements and supported infrastructure, an implementation may use on-premises, private-cloud, or hybrid options.

Scoping covers data boundaries and retention, encryption where implemented, role access and least privilege, source receipts, auditability, versioned knowledge, human approval, backup and recovery, connectivity, and third-party dependencies. Controls that are not verified or implemented are requirements to scope, not guarantees.

Frequently asked questions

What are the three ways to work with Drivers Seat?

Drivers Seat offers Private LLM Training and Implementation, Role-Specific AI Systems, and Combined Operational AI. The right scope depends on your data, workflow, and approval rules.

How are privacy and security controls decided?

Controls are scoped with the customer. Depending on requirements and supported infrastructure, the implementation may consider on-premises, private-cloud, or hybrid options, along with boundaries, retention, access, auditability, recovery, connectivity, and third-party dependencies. Unverified controls are not guarantees.

How does Drivers Seat approach high-consequence work?

Implementations use focused workflows, source-backed outputs, and human approval. The specific approval, escalation, and operating rules are defined during scope.

How does Drivers Seat measure whether an AI implementation works?

Drivers Seat defines task-level acceptance criteria before a pilot, then tests source use, factual accuracy, required approvals, exception handling, and agreed workflow measures. Outcomes are reported only from preserved evidence; a pilot is not presented as production proof.

How do we start?

Start with one high-value workflow, prove the result, then expand. Use the request-information form on the homepage, email Remoteops@ropinc.ca, or call +1-825-425-2767.

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