Transforming customer transcripts from raw data into actionable, risk-assessed intelligence.
Companies lose an estimated
$75 Billion
annually due to poor customer service and unresolved complaints.
This infographic outlines how a modern AI agent automates the entire complaint management lifecycle, moving from raw transcription to proactive intervention in four streamlined steps.
1
Ingest & Transcribe
2
Summarize & Identify
3
Categorize & Analyze Risk
4
Generate Agentic Insights
After identifying a complaint, the AI instantly categorizes the issue and assesses potential risks. This provides a clear, structured overview of customer pain points and business liabilities without manual intervention.
The AI breaks down all identified complaints into clear categories, revealing where systemic issues are most prevalent.
The system scans transcripts for keywords and sentiment related to compliance, flagging potential regulatory risks.
An agentic AI doesn't just analyze—it acts. By automating workflows and generating predictive insights, it delivers measurable improvements across the board.
85%
Faster Complaint Triage
95%
Accuracy in Categorization
40%
Reduction in Escalations