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PRIVATE AI FOR TELECOM

Bring AI into telecom operations without losing control

Deploy AI inside your approved environment and govern what models and agents can access, analyze and act on across network, customer and enterprise workflows.

  • Private deployment
  • Controlled network and data access
  • Complete audit trail

Advance AI without compromising network or data control

Give teams access to useful AI while keeping subscriber data, network telemetry and operational systems inside approved environments.

01

Protect subscriber and network data

Keep subscriber, usage, network, service and commercial information within approved environments and workflows.

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 telecom operations

Every request is checked before a model or agent can reach subscriber data, network tools, OSS/BSS platforms or enterprise applications.

Operating model

How Iftah operates across telecom

View operating modelعرض نموذج التشغيل

Network teams, service teams and applications connect through one governed platform before reaching approved models, telecom data or operational 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.

Iftah AI sits between network teams, service teams and applications on one side, and approved AI models, telecom data and operational systems on the other. It applies identity, policy, approval and audit controls.

Where telecom organizations can start

Begin with one focused workflow and apply stronger controls as AI moves closer to subscriber data, network changes, billing decisions and regulated services.

01

Network engineering and operations

Private assistants and controlled AI for runbooks, incident investigation, service assurance, capacity analysis and maintenance workflows.

02

Customer and commercial operations

Controlled AI for contact centres, order management, service support, sales assistance and customer communications.

03

Fraud, revenue assurance and compliance

Secure AI for fraud investigations, revenue-leakage analysis, roaming disputes, regulatory reporting and audit preparation.

Built to operate within your telecom environment

  • 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 network, customer or billing actions

Next step

Start with one controlled telecom use case