AI-generated summary
Genesys Cloud decision tables are rule-based tools that calculate results based on defined conditions and integrate into Architect flows for further processing. Organizations can create up to 50 decision tables per instance, each requiring a unique name, assigned division, and schema configuration that defines available input and output attributes. Division and schema assignments cannot be modified after creation, though tables can be edited to add rows or duplicated under different names.
The Conditions pane supports up to 30 total attributes, with a maximum of 20 String type and 10 String List type attributes, subject to a combined character limit of 4, per row. Users define condition names, comparators, and default values, which can be set to Wildcard to pass all inputs for rule evaluation or Null to execute rules without input values. Condition values are constrained by attribute parameters established in the rules schema, including maximum limits for integer attributes.
In the Results pane, users specify result names defined in the rules schema and enter corresponding result values. Decision tables become available in Architect flows within minutes of publication. A brief transition period follows publication during which execution requests may return results from either the newly published or previous version; after this period, all requests use the latest version. Each published version supersedes the previous version, with Genesys Cloud retaining a limited number of superseded versions accessible through version history. Users can create snapshots to preserve specific configurations.
Access to decision table functionality requires specific permissions including Decision Table View, Add, Edit, Delete, Copy, and Publish capabilities, plus Queue View access for creation and editing operations. Users can add additional rows with alternative condition values after saving a decision table in the Drafts tab, with the option to set frequently-used values as defaults. The platform includes feedback mechanisms allowing users to report issues such as inaccurate, incomplete, or outdated content, as well as to provide positive feedback on helpful information. Related documentation covers rule-based decisions, rule schema creation and editing, decision table management, the Call Decision Table action, and import/export functionality, with community support available for users requiring additional assistance