AutoGo Watch
Corrosion Anomaly Detector
Classical ML on inspection thickness readings and sensor telemetry. Flags outliers before they become failures, sends to engineer review queue.
At a Glance
What it does
AutoGo Watch applies classical machine learning (not language models) to inspection thickness readings, corrosion probe data, and process telemetry. It flags outliers and pattern shifts before the scheduled review cycle would catch them, and sends the alert with historical context to the integrity engineer's queue. Precision and recall are measured against real historical events; thresholds are tuned by your integrity team, not by the vendor.
Key benefits
- Flags outliers before scheduled review cycle catches them
- Well-understood classical ML, cheap to run and validate
- Engineer sees the pattern and decides, not the AI
- Precision and recall measured against real historical events
What sits inside this agent
Other agents on Enrise / Historian / Alert queue
Deployed alongside AutoGo Watch for the same class of enterprise finance workflows.
AutoGo Inspect
Inspection Report Extractor
Reads scanned or PDF inspection reports, extracts findings and thickness data, and posts them into the integrity record.
ViewAutoGo Rank
AI-Assisted RBI Ranking
Proposes RBI ranking adjustments against your chosen framework (API 580 / 581, DNV, or ASME). Every suggestion carries its reasoning. Engineer signs off on every rank change.
ViewAutoGo Scope
Turnaround Scope Builder
Compiles proposed turnaround inspection scope from RBI outputs, inspection history, and Integrity Operating Window breaches. Planners review and refine before commit.
ViewWant AutoGo Watch in your oil & gas operation?
Tell us your systems and the workflow. We will scope AutoGo Watch for your operation in a six to eight week pilot, reviewer-in-the-loop from day one.