AI Review Triage Engine for Multi-Location Operators

Beyond sentiment analysis

Traditional review platforms tell you if customers are happy or angry. That's obvious from the star rating. OpsScaleIQ's AI Triage Engine tells you exactly what failed and maps it to the operational process that needs fixing.

How it works

1Ingest — Reviews flow in from Google, Yelp, TripAdvisor, CSV import, or QR feedback in real-time.
2Analyze — Our AI Triage Engine processes each review against your configured taxonomy. Multi-category issues are split into individual findings.
3Classify — Each finding gets a primary category, severity level (1/2/3), confidence score, and key phrases extracted.
4Act — Severity 3 issues trigger immediate alerts. All findings generate tasks with owners and due dates.

Example categorization

“Waited 25 minutes for our food, it arrived cold, and the server never checked on us.”

SEV 2Wait Time / Speed of Service— 94% confidence

SEV 2Food Quality / Temperature— 91% confidence

SEV 3Staff Attentiveness— 87% confidence

AI Triage capabilities

25 Universal Failure Categories

Pre-built taxonomy covers wait time, cleanliness, staff attitude, food quality, safety hazards, billing errors, and more.

Three-Tier Severity Scoring

Every issue classified as Severity 1 (monitor), 2 (action needed), or 3 (critical/escalate). Prioritize what matters.

Confidence Scoring

Each categorization includes a confidence score so you know when the AI is certain versus when human review is warranted.

22 Vertical-Specific Taxonomies

QSR, fine dining, hotels, healthcare, retail, automotive, salons — each with domain-specific failure categories.

Dynamic Taxonomy Expansion

The AI identifies new, recurring failure patterns unique to your business and suggests new categories automatically.

Multi-Category Detection

A single review can surface multiple issues. "Long wait, cold food, rude server" → three separate action items.

Root cause, not sentiment.