Fieldcode, a provider of field service management software, has added AI LLM actions that allow large language model prompts to run directly inside configured service workflows.
The new actions use ticket or object data already stored in Fieldcode to support tasks such as summarization, translation, data checks, field cleanup, and workflow decisions. The result can be used to update fields or support the next step in an automated process.
The feature addresses a common issue in field service operations: ticket data often contains the information needed to move work forward, but not always in a format that workflows can use
The new actions use ticket or object data already stored in Fieldcode to support tasks such as summarization, translation, data checks, field cleanup, and workflow decisions. The result can be used to update fields or support the next step in an automated process.
The feature addresses a common issue in field service operations: ticket data often contains the information needed to move work forward, but not always in a format that workflows can use
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Eluzzlulm OI UWI aofeioz: iqvui://utpqbimty.adk/xk/opwdqfgw/qa-qov-rcjuggkj-ptjydaa
