AI Field Agents now support the Date field as a target output. The agent generates a structured date value from record context — inferring project completion dates from status updates, SLA target dates from priority levels, or control review deadlines from Framework context — with the same governance, Manual/Automatic run controls, and audit-trail logging as the existing Text and Single Select Field Agents. PMO leads inferring project phase completion dates, ITSM service desks generating SLA target dates, GRC compliance teams computing control review deadlines, HR onboarding workflows setting 30-60-90 review dates, and any workflow where the date is derivable from other record context all get a first-class AI target for structured time data.
Key Highlights
- New Field Type Coverage: Date joins Title, Text, Number, SmartDoc, Text Area, Single Select, Multiple Select, Status, and Link as a supported target for AI Field Agents. Same prompt-builder UI, same governance model, same audit trail — new output type.
- Structured Output With Time Support: The agent generates a properly-structured date value that populates the Date field's native storage model. If the underlying Date field has time enabled, the AI generates both date and time components. Timeline View, calendar widgets, and date-based filters and formulas work against AI-generated dates exactly as they do against typed ones.
- Manual and Automatic Runs: Configure Automatic runs to re-evaluate the date whenever a triggering field changes (SLA target dates recompute when Priority updates), or leave Automatic off for user-initiated runs from Grid view, the Record Page, or a Record Details widget.
- Full Audit Trail: Every AI-populated date logs as AI-driven activity in the record's audit history. Manual overrides re-attribute cleanly to the user who made the edit, preserving traceability.
- Same Workspace Governance: Requires the workspace-level AI Field Agents toggle. Inherits the workspace's Internet Search setting when relevant. Uses the connection registry from the July 14 Managed Connections release for provider/model routing.
How It Works
- Open a Date field's Field Settings and switch to the AI Field Agent tab.
- Toggle Enable AI Field Agent. Compose the prompt referencing other fields on the record with the field-variable selector (for example: "Compute the SLA target resolution date based on {{Priority}}, {{Reported Date}}, and the standard escalation policy in the attached SLA document").
- Pick a Connection from the dropdown of admin-enabled connections for AI Field Agent on the current solution.
- Optionally enable Automatic runs so the date re-generates when the triggering fields change; leave off for manual-only runs.
- Save. On the Record Page or Grid view, run the agent manually or watch it populate automatically as record context evolves. The generated date appears in the Date field and the activity log flags the change as AI-generated.
Requires the workspace-level AI Field Agents toggle in Workspace Administration → AI Control Center → AI Field Agents. Available on all plans.