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AI Quality Assurance

AI-Powered Report Auditing

Automated field reports audit — checking against business rules related to factual accuracy, compliance with internal standards and grammatical quality.

ClientProfessional Services Firm
IndustryProfessional Services

Key Results

40%
Staff time saving
100%
Reports audited automatically
3-tier
RAG rating system
The challenge

Manual QA on every customer report.

  • Every report reviewed by multiple team members
  • Non-compliant language occasionally slipped through
  • Descriptions didn't always match the photos
  • Manual QA ate disproportionate team capacity
The solution

Every report audited before a human sees it.

  • Checks each report against configurable business rules
  • Rates compliance Green / Amber / Red
  • Auto-corrects common errors automatically
  • Rules editable by the team, no developer needed
Inside the build

How it works.

Rule-Based Auditing
Rules Engine · Compliance · Terminology

Rule-Based Auditing

Checks terminology against approved language, validates findings against minimum thresholds, and flags image-text discrepancies.

RAG Rating System
RAG Rating · Prioritisation · Triage

RAG Rating System

Every report receives a Green/Amber/Red rating so human reviewers can prioritise their attention on the reports that need it most.

Auto-Correction & Configurable Rules
Auto-Fix · Configurable · Self-Service

Auto-Correction & Configurable Rules

Common errors are corrected automatically. Business rules can be updated by the team without developer involvement.

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