Quality Autopilot

AI quality that runs itself — and escalates only what needs you.

Autopilot scores every draft, approves the safe majority, and for the risky ones it drafts an on-brand fix, re-scores it, and keeps it only if it clears the bar. What it can’t confidently fix, it routes to the right reviewer. Every decision lands in an auditable ledger. Your team stops triaging thousands of segments and reviews only the handful that genuinely need a human.

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Auto-approves the safe majoritySelf-correcting fix loopDry-run until you trust it

AI quality · Autopilot · dry run

214 would approve38 auto-fix · avg +3312 escalate

#214Approved96Score ≥ 88, no risks

#218Auto-fixed52 → 91“Ab dem ersten Tag produktiv.”

#221Escalated41Terminology — needs a human

#226Approved93Score ≥ 88, no risks

Nothing applied — dry run · 264 segments triaged in one pass

What it does

The review bottleneck, automated away.

Review is the number-one cause of localization delay — because a human looks at every segment, safe or not. Autopilot flips that: machines clear the easy majority, and people see only the residual few that actually need judgement.

Scores & triages

Reuses your AI quality pipeline to bucket every segment safe / fixable / needs-a-human — no separate setup.

Self-correcting

Drafts an on-brand rewrite for risky segments, re-scores it, and keeps it only if it genuinely clears the bar.

Routes what’s left

Escalations go to the right reviewer by language pair — not an undifferentiated pile.

Auditable ledger

Every approval, fix, and escalation is logged with score before → after and a plain-English reason.

The loop

It doesn’t just flag the problem — it fixes it, then checks its own work.

When a segment is risky, Autopilot doesn’t hand it straight to a human. It drafts a correction through the same brand-voice and glossary pipeline as every translation, re-scores that correction, and only accepts it if the new score clears your threshold with no hard-gate risks. If the fix isn’t good enough, it escalates instead of guessing. The result: humans see the genuinely hard cases, not the ones a machine could have cleaned up.

Fix, then re-score

Every proposed rewrite is measured before it’s trusted — no unchecked AI edits.

Hard gates hold

Terminology, tag, and untranslated risks always escalate — Autopilot can’t wave them through.

Escalate over guess

If a confident fix isn’t found, it routes to a reviewer rather than shipping something weak.

ReplacesReviewing every safe segment by handCopy-pasting fixes one at a time

Autopilot · self-correction · #218

Flagged draft · 52

Vom ersten Tag an den Boden treffend rennen.

Fluency risk — reads machine-made

↓ rewrite · re-score

Re-scored · 91 +39

Ab dem ersten Tag sofort produktiv.

Clears the bar · glossary kept · logged to the ledger

What it can’t confidently fix is escalated — never auto-shipped.

Trust first

Watch it be right before you hand over the keys.

Autopilot ships in dry run: it proposes everything it would do — approve, fix, escalate — into the ledger without changing a single segment. Managers watch it be right for a week, then flip one switch to let it act. Every automated decision stays reversible and on the record, so governance and compliance have the trail they need.

Dry run by default

Proposes into the ledger, mutates nothing — trust is earned, not assumed.

Full audit trail

Score before → after, the exact fix, and who an escalation went to — grouped by run.

Your thresholds

Set the approve bar, the fix bar, and how aggressive it gets — per workspace.

ReplacesBlind trust in “AI review”No record of what the AI changed

AI quality · Autopilot · dry run

214 would approve38 auto-fix · avg +3312 escalate

#214Approved96Score ≥ 88, no risks

#218Auto-fixed52 → 91“Ab dem ersten Tag produktiv.”

#221Escalated41Terminology — needs a human

#226Approved93Score ≥ 88, no risks

Nothing applied — dry run · 264 segments triaged in one pass

How it works

One pass, three outcomes.

Score every segment

Autopilot runs your AI quality pipeline across the project — adequacy, fluency, and hard-gate risks.

Approve, fix, or escalate

Safe segments are approved, risky ones get a re-scored on-brand fix, and the rest are routed to a reviewer.

Review the ledger

Every decision is logged. Run it in dry run, check its work, then let it act with one switch.

Our reviewers were drowning — eight thousand segments, most of them fine. Autopilot cleared the safe ones, fixed a third of the flags on its own, and handed my team the forty that actually mattered. We ran it in dry run for a week first; it was right, so we turned it loose.

DPDiego PereiraLocalization operations, Meridian Health

Keep exploring

Let your team review the hard forty, not the safe eight thousand.

Join the waitlist for early-access pricing and a walkthrough of Autopilot on your own projects.

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AI quality that runs itself — and escalates only what needs you.

The review bottleneck, automated away.

Scores & triages

Self-correcting

Routes what’s left

Auditable ledger

It doesn’t just flag the problem — it fixes it, then checks its own work.

Watch it be right before you hand over the keys.

One pass, three outcomes.

Score every segment

Approve, fix, or escalate

Review the ledger

The rest of what sets us apart.

Brand voice

Automations

AI quality

Catch broken layouts

Pre-flight layout risk

Resonance

Let your team review the hard forty, not the safe eight thousand.