Give the task a result, an owner and a way to continue To be launched
Define the desired result, relevant records, permitted tools and decision authority. AI Workforce uses Work technology to organize those requirements into a continuing task, including progress, unresolved issues and the information needed for handover.
When a task waits for data, a decision or a site response, its state and supporting information remain available. Once the response arrives, the task continues and its outcome is checked against agreed completion conditions. Select the professional applications it needs or connect existing customer tools.
Let your existing AI use specialist capabilities
Customers can keep their AI assistant or agent platform and connect selected Industrial Platform capabilities through API/MCP interfaces. Industrial objects, operating data, specialist models and workflows can serve that AI without AI Workforce. Team members’ historical platform demonstrations provide a foundation; confirm the release, interface coverage, available integration materials, licenses and delivery dates for the selected project.
For example, a task might compare yesterday’s efficiency across three boilers. The customer AI uses an authorized identity to find the equipment, retrieves records for the relevant periods, invokes a suitable model and returns the calculation conditions and source evidence. Check the required inputs and full result for the selected version.
- Operations to confirm for the selected version
- Discover objects and relationships, retrieve suitable data, run specialist calculations or workflows, and query results and status.
- Integration conditions
- Interface and tool coverage for the selected version, identity and access, input and output definitions, units, applicability and exception handling.
- How to start
- Choose one concrete task for the existing AI, connect it through the available interfaces, check the full result, then extend its use.
Connect professional calculations and people To be launched
AI Workforce retrieves authorized records, invokes professional applications and prepares the next action. Industrial Platform can supply industrial context and calculations through Core technology; Edge handles selected field connections and local runtime. Existing customer tools can supply other parts of the task.
Qualified teams follow established operating methods. Specialists contribute where adaptation or new judgment is required. Identify the decision owner, the person or system executing the action, and the evidence needed to close the task.
Learn from task outcomes within operating limits To be launched
AI Workforce receives records at the task’s cadence, invokes suitable models and authorized tools, and returns results and exceptions to the same task. Retained state lets work continue across system events and human handovers.
Outcome feedback compares model outputs, actions and results. Suitable parameters are recalibrated, while model, rule and knowledge updates pass the required validation and authorization. Preserve versions and comparison evidence so a suitable configuration can be restored. Lasting value is assessed through task completion, operating results and the effort needed to supervise and maintain the work.
For your deployment
Which operating task should AI Workforce support, and who will use it?
Which data and specialist calculations does the task need, what may run automatically, and when must a person take over?