Use Cases · Autonomous AI
Routine decisions run across functions without a person in every loop.
How it comes together
Agents built in the AI Foundry reason on the connected model and act across functions through the Command Center, closing the loop from signal to action within policy.
An agent is created in the AI Foundry, given its policy, tools and the enterprise context it reasons on.
Forecasts and anomaly signals across functions are monitored continuously.
The agent evaluates options against governed rules on the connected model.
The decision is executed, from reordering stock to dispatching a technician to remediating an incident.
Routine cases close autonomously, and only what falls outside policy is raised to people.
Agents forecast, detect, decide and act on the connected model, and escalate only the exceptions.
Related
Service and operations
An incident or threat appears across IT and operational technology.
See how it works →Enterprise intelligence
A decision that needs finance, supply chain, risk and customer views at once.
See how it works →Value chain
A critical asset trends toward failure or a spare toward stock-out.
See how it works →See how these use cases apply to a specific function, industry or transformation.
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