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runtime decisioning
About this tag
Runtime decisioning refers to the real-time application of AI-driven logic and data analysis within operational workflows, as demonstrated by SymphonyAI's IRIS Foundry integration with Microsoft Teams and Copilot via the Model Context Protocol (MCP). This approach enables plant operators and frontline teams to query industrial data, receive visual summaries, and trigger automated maintenance actions directly within Microsoft 365 tools, without switching contexts. The tag covers how domain-trained AI models execute decisions at runtime, connecting operational technology data with Microsoft's Copilot environment to support plain-language interactions and streamline industrial processes.
SymphonyAI’s IRIS Foundry now appears directly inside Microsoft Teams and Microsoft 365 Copilot, promising to move industrial AI from dashboards and backrooms into the daily workflows of plant operators and frontline teams—using the Model Context Protocol (MCP) to connect OT data, AI reasoning...
ai in business
ai workflows
anomaly detection
asset intelligence
asset management
automation
copilot
cortex ai
dataops
edge
edge computing
edge deployments
energy
frontline operations
governance
industrial ai
industrial iot
iris foundry
knowledge graph
manufacturing
mcp
mes cmms integration
microsoft azure
microsoft copilot
microsoft teams
model context protocol
mttr
namespace
operational ai
ot it integration
plant downtime
plant operations
predictive maintenance
prescriptive analytics
prescriptive automation
runtimedecisioning
safety governance
security
security governance
symphonyai
workflow
workflow automation