“We didn't set out to run AI projects. We set out to build a bank where intelligence is part of the foundation. As an ethical, Shari'ah-compliant bank, we hold ourselves to a high standard on how technology treats our customers and their data. This partnership lets us move fast on AI without ever compromising on that. Everything runs inside our own environment, governed end to end, with a UAE partner who shares our ambition for this country.”
Enterprise agentic AI platform for energy, oil & gas
Agentic AI for Energy, Oil & Gas Operations
MagOneAI empowers energy producers, pipeline operators, and downstream processors with AI for HSE monitoring, regulatory compliance, asset performance management, and supply chain coordination: an enterprise AI orchestration platform built for complex, high-stakes energy operations.
- Runs in your perimeter
- ISO 42001
- ISO 27001
- ISO 9001
Your environmentPrivate deployment · your cloud
Energy workspaceLive · 4 projects
- Permit-to-work4 workflows · 6 agentsLive
- HSE incident reporting2 workflows · 4 agentsLive
- Rig inspection intelligence3 workflows · 7 agentsLive
- Vendor pre-qualification2 workflows · 3 agentsLive
Governed by MagOneAI policy engineAudit log enabled
Trusted by Customers
Deployment & Technology Partners
The challenge
Operational Challenges Energy Companies Need AI to Solve
These operational challenges are accelerating the adoption of AI-driven workflow automation and intelligent decision support across oil, gas, and energy operations.
01
Unplanned Asset Downtime & Failures
Reactive maintenance across rigs and pipelines drives costly unplanned outages and margin erosion.
02
Regulatory & Environmental Compliance Pressure
Emissions reporting and safety regulations span multiple agencies, too complex for manual monitoring.
03
HSE Incident Management Gaps
Manual safety reporting and fragmented incident tracking create compliance risk and regulatory exposure.
04
Supply Chain & Contractor Complexity
Coordinating procurement, product movement, and contractor scheduling manually creates costly project bottlenecks.
05
Operational Data Fragmented Across Systems
Production, maintenance, and compliance data sit in disconnected SCADA, ERP, and field systems.
06
Legacy Systems Blocking Operational Intelligence
Energy operators need AI that works alongside existing SCADA, ERP, and historian systems.
Use cases
AI Agents for Energy, Oil & Gas Operations
Deploy AI agents across upstream, midstream, and downstream workflows to improve operational reliability, strengthen HSE compliance, and accelerate decision cycles.
Rig Inspection Document Intelligence Agent
AI-powered line-by-line review of multi-thousand-page rig inspection reports.
- 100%
- Review coverage
- 95%+
- Accuracy
- 60%
- Less review time
Field Technician SOP & Operations Manual Agent
Voice-first AI assistant answering technician queries at the wellsite, hands-free.
- Instant
- Query resolution
- 55%
- Fewer escalations
- 55%
- Efficiency gain
HSE Incident Reporting & Investigation Agent
Automated safety incident capture, investigation workflows, and regulatory filing.
- 70%
- Less reporting time
- 100%
- Compliance coverage
- 65%
- Less manual effort
Permit-to-Work Workflow Agent
End-to-end PTW lifecycle orchestration across hot work, confined space, and electrical permits.
- 60%
- Faster processing
- 100%
- Approvals flagged
- 100%
- Audit coverage
Well Production Data & Reporting Agent
Automated aggregation, anomaly detection, and regulatory reporting from SCADA and ERP.
- 70%
- Less reporting time
- 94%
- Data accuracy
- 65%
- Less manual effort
Vendor & Contractor Pre-Qualification Agent
AI-driven contractor screening, sanctions checks, and auditable onboarding decisions.
- Weeks
- To production, not months
- 100%
- Gaps flagged
- 50%
- Efficiency gain
Don’t see your use case? We work with energy companies and operators to customise AI workflows for unique operational and regulatory requirements.
Discuss custom use casesThe platform underneath
The Agentic AI Execution Layer for Energy, Oil and Gas Operations
MagOneAI is an AI orchestration platform for energy producers, pipeline operators, and downstream processors, enabling secure enterprise AI deployment across high-stakes operational workflows.
Workflow-Based AI Orchestration
Embed AI agents into energy workflows across production monitoring, HSE reporting, maintenance, and supply chain coordination.
Cross-System Coordination
Connect AI workflows across SCADA, ERP, historian, and field management systems, without replacing existing operational infrastructure.
Human-in-the-Loop Control
Insert engineer and operations review checkpoints where safety, regulatory, or operational approval is required.
Monitoring & Observability
Track workflow states, exceptions, and performance across long-running asset monitoring and compliance processes in real time.
Audit-Ready Traceability
Maintain full records of every AI-triggered action, engineer approval, escalation, and decision, ready for regulatory inspection and internal audit.
Sovereign Deployment Flexibility
Deploy across private cloud, on-premise, or air-gapped environments. Operational data never leaves your infrastructure, critical for remote site, SCADA-connected, and classified energy environments.
How it works
A Structured Path to Deploying AI Safely
From the first workflow to governed scale, without replacing the systems you already run.
- 1
Discover
Identify high-impact workflows.
- 2
Build
Build AI agents on the visual canvas, no code required.
- 3
Deploy
Deploy on your infrastructure with full data sovereignty.
- 4
Govern
Monitor, govern, and scale with enterprise controls.
Measurable results
What Leaders See
Measurable results from energy operators and oil and gas companies that deployed MagOneAI across their operations.
- Faster regulatory reporting
- 70%Faster regulatory reporting
- Reduction in HSE reporting time
- 40%Reduction in HSE reporting time
- Faster anomaly detection and response
- 3XFaster anomaly detection and response
- Less manual operations coordination
- 55%Less manual operations coordination
- Reduction in unplanned downtime
- 30%Reduction in unplanned downtime
Aggregate figures reported by MagOneAI deployments, as published on the live site, unnamed pending customer approval.
Customer testimonials
In Their Words
- 80+
- enterprise customers
- 60+
- AI deployments
- 99.1%
- completion rate in live government use
FAQ
Frequently Asked Questions
Everything you need to know about deploying MagOneAI.
- Is MagOneAI suitable for high-stakes, safety-critical energy environments?
- Yes. MagOneAI is built for environments where decisions carry operational, financial, and safety consequences. Every AI-triggered action runs within pre-defined workflow structures with mandatory human review at critical points. Engineers and operations managers control the checkpoints. The platform holds ISO 42001 (AI Management), ISO 27001 (Information Security), ISO 9001 (Quality Management), and SOC 2 Type II, providing the audit and governance backbone energy operators require.
- Can MagOneAI integrate with existing SCADA, ERP, historian, and field management systems?
- Yes. MagOneAI connects to existing operational systems (including SCADA platforms, ERP systems, historian databases, field management tools, and document repositories) through secure integrations. No existing system needs to be replaced. It runs as an orchestration layer on top of what you already have, coordinating AI actions across systems without disrupting operations.
- How does MagOneAI ensure audit readiness for regulatory submissions?
- Every AI-triggered action, engineer approval, escalation pathway, and decision is automatically logged with timestamp, role attribution, and full context, exportable in formats suitable for regulatory inspection and internal audit. For HSE incidents, permit applications, and environmental reporting, the complete chain of AI reasoning and human oversight is maintained in a tamper-evident audit trail.
- Does MagOneAI support human review for safety-critical and high-value operational decisions?
- Yes. Human-in-the-loop control is built into every MagOneAI workflow. For decisions involving safety-critical actions, regulatory submissions, or significant operational impact, the AI agent pauses, notifies the relevant engineer or manager, and resumes only after explicit human approval. These checkpoints are configured by your operations team and enforced by the platform, not left to individual discretion.
- Can MagOneAI be deployed within our private cloud or on-premise infrastructure at remote sites?
- Yes. MagOneAI deploys across private cloud, on-premise, and fully air-gapped environments, including remote field sites and offshore facilities. Operational data never leaves your infrastructure. Nothing is processed on Magure's servers at any point in the workflow. For classified or restricted operational environments, the air-gapped deployment option provides complete network isolation.
- How does MagOneAI handle long-running processes like pipeline integrity monitoring or HSE investigations?
- Durable Execution powered by Temporal (the same infrastructure used by Uber, Netflix, and Stripe) ensures workflows continue even when underlying systems experience interruptions. A pipeline monitoring workflow running continuously across days, or an HSE investigation spanning weeks, completes correctly even if systems restart or network connections drop mid-process. No lost state, no incomplete records.
- How does this differ from a standard SCADA analytics dashboard?
- SCADA dashboards surface data. MagOneAI executes governed workflows in response to what that data shows: routing anomalies for engineer review, triggering maintenance work orders, filing regulatory notifications, escalating safety incidents through the right approval chain, and logging every action for audit. It's the difference between seeing a problem and having a governed process respond to it automatically.
- Can the platform help with environmental and emissions compliance reporting?
- Yes. MagOneAI supports automated emissions monitoring, permit compliance tracking, and environmental regulatory reporting workflows. Agents continuously monitor against current permit thresholds, flag deviations in real time, and generate structured reports for submission to regulatory bodies, reducing manual preparation time and ensuring nothing is missed across complex multi-jurisdiction reporting requirements.
Bring Controlled AI Execution to Your Energy Operations
Join leading energy operators already transforming operations with MagOneAI.
