01
Protect operational data
Keep geological, production, asset, process and commercial information within approved environments and workflows.
PRIVATE AI FOR MINING & METALS
Deploy AI inside your approved environment and govern what models and agents can access, analyze and act on across mine, plant and enterprise workflows.
Give teams access to useful AI while keeping geological, production, engineering and commercial data within approved boundaries.
01
Keep geological, production, asset, process and commercial information within approved environments and workflows.
02
Define which data, tools and systems each model or agent can access—and where human approval is mandatory.
03
Maintain a traceable record of requests, policy decisions, model outputs, approvals and agent actions.
Every request is checked before a model or agent can reach geological data, engineering tools, operational systems or enterprise applications.
OPERATING MODEL
Operators, engineers and applications connect through one governed platform before reaching approved models, mine and plant data or enterprise systems.
Operators, engineers and applications
01Operators
Mine operations · Plant operations · Maintenance · HSE
Engineering teams
Geology · Metallurgy · Asset reliability
Applications and AI agents
Internal applications · AI assistants · Workflow agents
Inside the organization’s approved operational environment
Iftah AI Governance Platform
02One governed layer for every AI interaction
BuildIA
AI applications and agents
GuardIA
Access, policy and approval
DeployIA
Models and AI workloads
TrustIA
Monitoring, evaluation and audit
Organization-controlled environment
03Private cloud, sovereign cloud or organization data centre
Approved AI models
Organization-hosted models · Approved external models · Specialized AI models
Mine and plant data
Geological and production data · Engineering and maintenance information · Process and commercial data
Enterprise systems
Engineering tools · Operations platforms · Business applications · Enterprise tools
Monitoring and audit evidence
TrustIA
Begin with one focused workflow and apply stronger controls as AI moves closer to production decisions, operational systems and safety-critical activities.
01
Private assistants for operating procedures, engineering standards, maintenance histories, geological reports and technical knowledge.
02
Controlled AI assistance for maintenance planning, production analysis, equipment reliability, process investigation and quality workflows.
03
Secure AI for incident analysis, environmental reporting, permit obligations, sustainability records and audit preparation.
We will help define the deployment boundary, permitted data, system access, human-approval points, monitoring and audit requirements.