Only a month ago I wrote about how every news release included “AI” no matter how mundane or useful it was. Suddenly the new phrase is “Agentic AI”. Agents are pieces of code that build on data generated by Large Language Models (LLMs) which are the current iteration of AI. Agents consider the data and context in order to make decisions.
These can be useful. However, we do know that the data generated from LLMs are not always useful or accurate or repeatable. The technology is good, but it also needs much growth to become a reliable tool in the worker’s kit.
This news comes from the ServiceMax division of PTC. Looks like the first usable implementations will help service workers. Since I’m writing this in the customer area of the car dealer’s service center, this is top of mind today.
In brief:
- Agentic AI advancements in ServiceMax AI accelerate work order execution and enable improvements in first-time fix rates
- Agentic AI advancements in Servigistics expand AI-driven intelligence for service parts planning
From the news:
PTC announced the availability of new service lifecycle management (SLM) AI offerings in its ServiceMax field service management solution and Servigistics service supply chain optimization solution. Agentic AI advancements in ServiceMax AI strengthen multi-agent action to support field service management outcomes, including faster work order execution and smarter parts queries. Servigistics AI advancements deliver additional agentic intelligence to the service supply chain, enabling autonomous orchestration of [service] planning and execution.
The latest ServiceMax AI enhancements build on the unique ability to take advantage of AI directly from the current processes already managed by ServiceMax. This latest release enhances AI Actions with orchestrated multi-agent execution, AI-driven process automation through Service Flow Manager, and a new Knowledge API that connects to documents across enterprise systems.
Servigistics is also introducing a new AI Assistant, which supports planners by improving forecast accuracy and accelerating planning cycles, and will be generally available in October 2025.
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