The ADLC control layer vs. native automation

Jira Automation flips the status. GroundTruth proves it's true.

A free automation rule can move a ticket to Done the moment a PR merges. That is the easy 10%, and it is exactly how the board ends up lying: it closes tickets whose work is not actually finished, with no gate, no proof, and no way to undo a wrong write. GroundTruth is the enforcement and proof layer around that flip.

Capability Jira Automation / GitHub Actions GroundTruth
Move the ticket when a PR merges
Hold "done" to acceptance criteria (AC gate)
Rewrite untestable acceptance criteria
Send ambiguous cases to a human, not a blind flip
Prove every change in a tamper-evident audit chain
Revert a wrong write safely
Enforce done in the PR (Definition-of-Done check)
One engine across Jira, Linear, Azure DevOps, Asana
Executive roll-up with true numbers
Async standup + blocker radar from ground truth

Native automation is genuinely useful, and free. Use it. GroundTruth starts where it stops: enforcing that a status change is correct, and proving it.

Automation is blind

A merge rule closes the ticket whether or not the acceptance criteria are met. GroundTruth reads the criteria against the code and routes the not-yet-done to review instead.

Automation can't prove it

When a status is wrong, a rule leaves no trail. GroundTruth signs every automated change into an audit chain you can inspect, prove to an auditor, and revert.

Automation is per-tool glue

Each rule is a bespoke script per project. GroundTruth is one engine across your source control and trackers, with reports, standups, and a blocker radar on top.

Start free trial Why status drifts