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AI-powered Audit for Calls

Turn customer calls and interaction text into decision-ready cases in seconds.

DataKnobs Call Audit enables organizations to analyze customer interactions across various channels such as transcripts, emails, and posts, converting them into valuable feedback, complaints, and requests. The platform utilizes AI to triage, summarize, classify, route, and analyze customer interactions, helping teams streamline processes, identify root causes, and maintain a comprehensive audit trail for prioritized cases.
30–60% Faster triage time
Fewer Misrouted tickets and queue ping-pong
Audit-ready Structured evidence and routing rationale
Trend-aware Theme clustering and escalation signals
Live workflow preview Interaction text/call → structured case
Ops + Compliance Ready

Call and Interaction Summary

High Severity
AI Summary

Customer has complained about being billed after canceling their subscription, stating that customer support had previously assured them the issue was resolved. They are now requesting a prompt refund and written confirmation.

Category Billing Subscription / Continued Charges
Owner Billing Ops Auto-routed with confidence 0.92
Next Step Refund Flow Verify cancellation and confirm invoice history
Theme volume
Top call and complaint drivers
Routing queue
Next cases in review
Billing dispute with chargeback risk
Urgent
Product defect mentioned in return request
Review
Legal escalation language in email thread
Escalate
Evidence lines
“I canceled last month but I’m still being charged.”

“Support told me it was fixed and it happened again.”
How it works

Ingest, understand, route, and learn.

Audit AI's capabilities cover the entire process from unprocessed interactions to organized cases, maintaining crucial evidence and analytics for operations, product development, quality assurance, and compliance teams.
01

Ingest & normalize

Integrate email, CRM, ticketing, chat, forms, and call transcripts, and if desired, remove duplicates, identify language, combine conversations, and censor personal information before reviewing.

02

Understand the customer call and interaction

Leverage LLM summarization, complaint detection, multi-label categorization, entity extraction, sentiment analysis, and escalation signals to transform unstructured narratives into organized data.

03

Trigger workflow actions

Automatically direct to appropriate queue, generate tickets, recommend optimal steps, and escalate complex cases for human assessment if unsure.

04

Analyze & improve

Identify common issues, track key causes, detect irregularities, and incorporate human input for ongoing quality enhancement.

Capabilities

Purpose-built for triage, routing, evidence, and complaint intelligence.

The system is designed not just to detect complaints, but to make them operationally useful with summaries, categories, highlighted evidence, ownership suggestions, and analytics that expose recurring patterns.
01

Complaint & Issue detection

Categorize interactions as complaints/issues or not complaints/feedback, including confidence scores and customizable rationales for review processes.

02

Evidence highlighting

Pinpoint the specific phrases or sentences that convey dissatisfaction, disagreements over billing, unfulfilled promises, harm, or language indicating escalation.

03

Customer Call summaries

Create brief and uniform summaries that outline the issues, customer needs, and preceding events.

04

Taxonomy classification

Categorize each complaint based on Billing, Product Defect, Refund, Delivery, Fraud, or Compliance, along with their respective subcategories and root causes.

05

Entity extraction

Convert organized data fields such as product, order ID, subscription ID, dates, amounts, channel, location, and policy references to JSON format.

06

Severity & routing

Assess urgency, identify escalation triggers, and recommend appropriate owner, queue, priority, and follow-up action for each situation.

Complaint mining from calls and emails

Find complaints hidden inside long conversations.

Auit AI scans transcripts and messages to distinguish interactions that blend complaint content with general questions or account context, revealing the evidence and meaning without the need for manual review of each line.

  • Works across phone calls, emails, chats, and tickets
  • Separates complaint statements from background context, routine feedback, request
  • Flags potential legal, safety, fraud, or discrimination language
Workflow automation

Reduce backlog without losing control.

Leverage customizable guidelines and certainty levels to determine the automatic routing, activation of standard operating procedures, and escalation to a human reviewer for validation.

  • Auto-create tickets in the right queue
  • Trigger refund, replacement, or compliance workflows
  • Support human-in-the-loop review for low-confidence edge cases
Example outputs

Structured, explainable, and ready for downstream systems.

Rather than keeping complaints buried in narrative, the system generates results that can be readily utilized by your teams and platforms.
Structured output

Complaint case payload

Summary Customer reports recurring billing after cancellation and requests immediate refund.
Category Billing → Subscription → Cancellation / Continued Charges
Severity High
Suggested owner Billing Ops
Entities customer_id, subscription_id, dates, amounts
Recommended next step Verify cancellation timestamp, confirm last invoice, issue refund, send confirmation.
Trend intelligence

What leaders can see

Theme “Billing continues after cancellation”
Driver Volume spike in one subscription plan and one region
Risk signal Medium regulatory / charge dispute escalation risk
Operational action Send a sample to QA, initiate billing review, update dashboard, and notify the owner.
Results & controls

Built to improve speed, consistency, and compliance confidence.

The Complaint AI is created to deliver tangible operational benefits while upholding governance, transparency, and human supervision as necessary.
30–60%Faster triage time with summary and routing automation
HigherFirst-contact resolution via next-best actions and templates
LowerMisrouting through consistent classification and rules
BetterProduct and CX insight from root-cause themes
StrongerAudit readiness with evidence trail and decision logs
Trust & security

Controls for regulated and high-volume environments.

  • PII redaction and role-based access control
  • Configurable taxonomy, business rules, and severity logic
  • Audit logs display the extracted information and the reasons for its routing.
  • Human-in-the-loop review for low-confidence or high-risk cases
Where it fits best

Ideal for support, CX, product, QA, and compliance teams.

  • High-volume customer service and complaint operations
  • Regulated complaint handling in finance, healthcare, telecom, and marketplaces
  • Product teams needing visibility into recurring customer pain points
  • QA and risk teams sampling edge cases and escalations
Get started

See Complaint AI on your own complaint data.

We are able to quickly conduct a pilot project using a small sample of complaints, calls, or emails to create an efficient triage and routing system, a complaint classification system that aligns with your business goals, identify common themes and escalation indicators, and provide organized data that can be easily integrated into your existing systems.