GenAIoT® for the connected world.
A global practitioner community making generative AI useful in connected systems—through shared deployment experience, trusted guidance and measurable outcomes.
Context. Controls. Outcomes.
Three priorities shape everything we publish.
Connected context
Ground AI in telemetry, operational knowledge and real-world conditions.
Governed intelligence
Keep tool use accountable, auditable and subject to human oversight.
Operational outcomes
Measure reliability, cost, safety and useful operating results.
Bring your experience.
Share a use case, join a working session or help publish practical guidance.
Explore the detail.
Our charter and community
GenAIoT® brings practitioners together to make generative AI useful in connected, real-world systems.
Our work turns deployment experience into guidance on architecture, safety and measurable results.
Our charter is to define and advance GenAIoT as a trusted field of practice for real operational environments.
Charter statement
We bring practitioners together to develop shared terminology, reference patterns and guidance for responsible deployment across industries.
Who we are
The GenAIoT Community is a global network of people who design, deploy and operate connected systems across industrial and enterprise environments. Participants span OT and platform architecture, AI and data engineering, security and governance, and operational leadership.
Deployment-led practice
We prioritize what works in production: grounded operational context, governed tools, workflow measures and deployment choices that account for edge and hybrid constraints.
Our operating principles
We bring operators and builders together to turn deployment experience into guidance teams can use.
Connected context
Ground outputs in telemetry, operational knowledge and the conditions surrounding each connected environment.
Governed intelligence
Combine models with tool controls, human oversight and clear accountability for safe, auditable operation.
Operational outcomes
Tie deployment decisions to latency, reliability, privacy, cost, regulation and measurable operating KPIs.
Scope, safety and measures
Our work focuses on system design, safety boundaries and evidence of useful operating results.
What GenAIoT is
How models, connected data, operational context and approved tools fit together in a usable system.
Safety boundaries
Where human review, deterministic controls, edge constraints and auditability must limit automation.
Measurable outcomes
How teams assess effects on reliability, efficiency, service quality and safety using measures appropriate to each use case.
How we turn experience into guidance
The work has three outputs: clear language, reusable architecture and practical governance.
Define the category
Shared terms and principles help teams explain scope and align decisions across organizations.
Publish reusable patterns
We develop reference building blocks for context, retrieval, model routing and approved operational tools.
Establish trusted practice
Guidance covers risks, approval and rollback controls, evaluation and audit trails.
Ways to participate
Practitioners can contribute use cases, join working sessions or partner on published guidance.
Contribute applied experience
Share use cases, workflows, evaluation examples and lessons from deployment.
Join working sessions
Take part in roundtables and focused sessions that turn practitioner insight into useful guidance.
Partner on durable outputs
Help sponsor, co-author and amplify practical assets that move the ecosystem from pilots to repeatable delivery.