Use cases
What machine intelligence can do.
Examples of capabilities that AI systems can provide. They illustrate what is possible — not descriptions of existing deployments.
- NLP
Document intelligence
Extract, classify and validate information from contracts, forms and reports — in Arabic and English.
- Agents
Customer service automation
Answer routine questions, triage requests and hand off complex cases to the right person.
- Generative AI
Knowledge assistants
Let teams ask questions of internal documentation and receive cited, verifiable answers.
- Predictive
Predictive maintenance
Use sensor and operational data to anticipate equipment issues before they cause downtime.
- Predictive
Demand forecasting
Estimate future demand with uncertainty ranges to support inventory and staffing decisions.
- ML
Recommendation systems
Surface relevant products, content or actions based on behaviour and context.
- ML
Fraud detection
Score transactions and activity for unusual patterns and route them for review.
- Automation
Workflow automation
Connect systems and automate multi-step processes that include unstructured inputs.
- Vision
Computer vision
Inspect, count, read and measure from images and video streams.
- NLP
Enterprise search
Semantic search across documents, databases and tools, respecting access permissions.
- Generative AI
Data analysis
Let people explore data in natural language with transparent, reproducible queries.
- Agents
AI agents
Task-specific agents that plan, use tools and complete work with human approval steps.