Every Toggl time entry is analyzed for scope health and sprint impact — and the linked Jira issue is updated with time intelligence and a flag when delivery risk is detected.
Example
Workflow triggers
Agents automate actions in your apps
How does V7 Go connect Toggl and Jira?
V7 Go monitors Toggl for new time entries. When an entry is logged, the AI Project Tracking agent reads the time data, identifies the linked Jira issue from the entry description or project name, compares hours to the original estimate, and updates the Jira issue with scope health status and a risk flag if needed.
+
How does V7 Go match Toggl time entries to Jira issues?
V7 Go looks for Jira issue keys (e.g., ENG-123) in the Toggl time entry description or uses project name matching to associate entries with the correct Jira issue. You can also configure explicit mapping rules based on Toggl project names and Jira project keys.
+
What scope health signals does V7 Go surface in Jira?
V7 Go surfaces: total hours logged against the original estimate, a scope health indicator (on-track, at-risk, or over-scope), remaining estimated hours, and a flag comment when cumulative hours exceed a configured threshold — giving the engineering team early warning before deadlines are missed.
+
Can V7 Go update Jira sprint velocity metrics from Toggl data?
Yes. V7 Go can aggregate time data across all issues in a sprint and post a weekly velocity summary comment to a designated Jira epic — giving the team a data-driven view of sprint health without manual reporting.
+
Is time tracking data secure in V7 Go?
V7 Go is SOC 2 Type II certified. All time entry data is processed in an encrypted, isolated environment and never used for model training.
+
How is the Toggl + Jira integration priced?
Pricing is based on time entry event volume. Contact V7 Go for a custom quote.
+








.jpg)





















