BlueAnchor

Why teams ask for it

People report problems in chats, emails and screenshots. Some get fixed, some get lost, and fixed ones return a month later.

What it does

One road from a finding to production, with AI doing the legwork and people holding both keys: the decision and the acceptance.

1. A trusted visitor reports from inside the app, with the exact version they were looking at.
2. AI triages and suggests solutions, grouping duplicates and proposing options.
3. A human decides what to fix, and what context is shared.
4. AI builds and tests the fix, with a test named after the finding.
5. A human reviews and accepts the change.
6. A mechanical workflow (CI/CD) brings it to production, the same way every time.

Two human gates, one mechanical road. Nothing reaches your people that nobody accepted, and a fixed problem can't quietly come back.

Where it stands

In production use across many different applications. In its first four weeks on a real product, 107 findings were recorded, and 64 are already resolved and have their own regression tests, and reliability was strengthened with 572 checks in total.