01
Protect operational data
Keep production, asset, engineering and commercial information within approved environments and workflows.
OIL & GAS AI
Bring AI into oil and gas operations without losing control
Deploy AI inside your approved environment and govern what models and agents can access, analyze and act on across field, plant and enterprise workflows.
- Private deployment
- Controlled operational access
- Complete audit trail
Field and plant teams
Iftah AI controls
Private deployment · Controlled operational access · Complete audit trail
Operational data and models
Advance AI without compromising operational control
Give teams access to useful AI while keeping production data, engineering knowledge and critical systems inside approved environments.
02
Control models and agents
Define which data, tools and systems each model or agent can access—and where human approval is mandatory.
03
Demonstrate oversight
Maintain a traceable record of requests, policy decisions, model outputs, approvals and agent actions.
A control layer between AI and critical operations
Every request is checked before a model or agent can reach operational data, engineering tools, field systems or enterprise applications.
Operating model
How Iftah operates across oil and gas
People and applications
Engineers · Operations teams · Applications and AI agents
Iftah AI Governance Platform
- Identity
- Policy
- Approval
- Audit
Organization-controlled environment
Private and customer-hosted AI models · Operational data · Enterprise systems
Monitoring and audit evidence
Requests · Policy decisions · Model activity · Agent actions · Human approvals
Outside customer environment
Approved external model endpoint
Explicit policy allow
View operating modelعرض نموذج التشغيل
Engineers, operators and applications connect through one governed platform before reaching approved models, operational data or enterprise systems.
- Iftah AI Service
- Model serving, RAG and isolated experimentation
- Iftah CGM
- Identity, policy, approvals and audit
- Iftah Deploy
- Deployment and workload lifecycle
- Iftah Mesh
- Private connectivity and runtime protection
Optional. Traffic is permitted only when the workload policy explicitly allows this endpoint.
Where oil and gas organizations can start
Begin with one focused workflow and apply stronger controls as AI moves closer to production decisions, field operations and safety-critical systems.
01
Engineering and workforce knowledge
Private assistants for operating procedures, engineering standards, maintenance histories, HSE guidance and internal technical knowledge.
02
Operations and asset reliability
Controlled AI assistance for maintenance planning, production analysis, anomaly investigation and field, pipeline and plant workflows.
03
HSE, risk and compliance
Secure AI for incident analysis, regulatory reporting, emissions data, contract review and audit preparation.
Built to operate within approved operational environments
- Deploy in your cloud, data centre or sovereign environment
- Keep private models inside the customer-controlled environment; connect to approved external endpoints only through policy controls
- Connect through existing identity, security, data and monitoring controls
- Keep human approval between AI recommendations and operational or safety-critical actions
Next step