11.14 Troubleshooting

Symptom Check Fix
Overview: Model … Not installed on this server Release package on the server. Reinstall/upgrade the server release; the model is part of it.
AI service … Not responding Administration → Status, row AI service (ada-ml); System service logs (AI Service). Restart the AI service from Status. Agents keep scoring; only uploads, training and tests are affected.
Upload fails: The AI service uses encoder X, agents use Y. Restart ada-ml… Server partially upgraded. Restart the AI service.
Upload fails: No text could be read… Scanned image PDF, empty or protected file. Use a document with a text layer.
Train button disabled AI service, model, or no type with 5 examples. See the banners and the hint under the button.
Type shows not trained after training It had fewer than 5 examples (see the training ⓘ). Add examples; retrain.
Rule never fires on any endpoint Module off for the scope (Overview → Module); rule still in test mode; rule not published; type not in the trained layer (editor shows not in the installed model); threshold too high. Fix and publish; check with Test a document.
Rule fires on Windows but not on Mac Office save Office for Mac uses the web add-in, which does not evaluate AI. Expected; the macOS file scan evaluates the saved file.
AI stopped after a product upgrade Banner The AI model was upgraded… Train again.
Endpoint status AI Classification: Preparing for a long time Agent cannot download /ai/… over 443 (proxy, TLS inspection). Allow the path; the agent retries automatically.
Endpoint status Unavailable Windows service.log: lines starting AI model … not available yet: (reason and next try), AI scoring paused for 10 minutes after repeated failures. Resolve the reason (disk, download, hash mismatch); restart the agent service if needed.
Office saves get no AI suggestion, file scan does service.log: AI score request refused (…): — e.g. model not ready, no enabled AI rule for these modules, no decision layer for encoder …. Fix the reason; the rule must apply to the Office module scope.
Already-labelled documents get no AI result By design (section 11.7.5): no AI rule could raise their label. Expected.
A burst of audit records after training Re-evaluation of files with the new layer. Expected; batch your trainings.
Too many false matches Test-mode audit, Test a document. Counter-examples, higher threshold, Whole document instead of or a part, combine with a pattern.
Too many misses Real documents differ from examples (language, layout). Add varied examples, especially in the second language; lower the threshold cautiously.

The Windows service also writes a ten-minute summary (AI scoring in the last 10 min: …) to service.log; it never contains document text.