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AI SUITE Quality Management

AI Quality Management That Scores Every Call Automatically

Traditional quality management reviews a fraction of calls. DialPhone AI Quality Management scores 100% of customer interactions automatically, flagging coaching moments and compliance risks before they become problems.

What is AI Quality Management for contact centers?

AI Quality Management replaces manual QA sampling with automated scoring across 100% of customer interactions. Every call, chat, email, and SMS is evaluated against your custom scorecards — covering compliance, empathy, resolution quality, and script adherence. Agents get immediate feedback after every interaction. Managers stop spending 10+ hours a week listening to recordings. Compliance violations are flagged before they become regulatory problems. The result: 19-point NPS improvement, 50% reduction in after-contact work, and quality data on every customer touchpoint — not a 1% sample.

Last updated: April 2026

Key capabilities

100% Automated Interaction Scoring

Score every single interaction — voice, chat, email, SMS — against your custom QA criteria. No sampling, no bias, no blind spots. Traditional QA covers 1–2% of volume; DialPhone AI Quality covers 100% without adding headcount.

Real-Time Post-Interaction Feedback

Agents receive immediate, actionable feedback after every interaction — not weeks later during a review cycle. Instant feedback accelerates improvement and reinforces positive behaviors before patterns solidify.

Personalized AI Coaching Paths

AI identifies skill gaps for each individual agent and generates tailored coaching recommendations — not generic training modules. Every agent gets a development path based on their actual performance patterns across real interactions.

Custom Scorecards & Weighted Criteria

Build QA scorecards that match your business — compliance adherence, empathy scoring, resolution quality, script compliance, upsell behavior, or any metric that matters to your operation. Weights are fully configurable with no-code setup.

Automated Escalation & Follow-Up Flagging

AI automatically surfaces interactions that need manager review, escalation, or follow-up based on configurable rules — sentiment drops, compliance violations, unresolved issues, or customer churn risk signals. Nothing slips through.

Competitor & Churn Signal Detection

Tracks competitor mentions, cancellation language, and satisfaction risk signals across 100% of interactions. Surface competitive intelligence and retention opportunities in real time — before they become lost accounts.

Compliance Monitoring Across Every Call

Automatically verify regulatory disclosures, required language, and policy compliance on every interaction — HIPAA, PCI, TCPA, and custom compliance frameworks. Compliance audit reports are generated automatically, with zero manual sampling.

Team & Trend Analytics Dashboard

Track QA scores, coaching completion, sentiment trends, and compliance rates across teams, campaigns, or channels. Drill down from org-level to individual agent in two clicks — with exportable reports for leadership and audit purposes.

100%
Interactions scored (vs 1-2% manual)
19pt
NPS improvement
10+hrs
Saved per manager per week
50%
Reduction in after-contact work

Who benefits from automated QA

High-Volume Contact Centers

Traditional QA teams manually review 1–3% of interactions — meaning 97% of calls, chats, and emails go completely unmonitored.

DialPhone AI Quality scores 100% of interactions across every channel, eliminating sampling bias and blind spots. Contact centers running DialPhone report that previously undetected issues — misinformation, missed disclosures, unresolved complaints — surface within hours instead of going undiscovered for weeks. For a 100-agent center handling 50,000 interactions per month, that is the difference between reviewing 500 calls manually and scoring all 50,000 automatically.

BPOs & Outsourced Operations

Business process outsourcers manage multiple clients with different SLA requirements, quality standards, and compliance frameworks.

DialPhone AI Quality runs separate scorecards per client program simultaneously — tracking script adherence for one client, compliance disclosures for another, and upsell behavior for a third. Automated SLA compliance reports generate on schedule without analyst involvement, giving BPO account managers audit-ready documentation that proves contractual quality commitments are met on every interaction, not a sampled subset.

Regulated Industries

Healthcare, financial services, and insurance organizations face strict regulatory requirements — HIPAA, PCI-DSS, TCPA, and state-level mandates — where a single missed disclosure can trigger fines or legal action.

DialPhone AI Quality monitors every interaction for required regulatory language, flags violations in real time, and generates compliance audit reports automatically. Organizations in regulated industries using DialPhone reduce compliance-related incidents by 78% and eliminate the manual audit sampling that regulators increasingly view as insufficient.

Remote & Distributed Teams

When agents work from home or across multiple locations, maintaining consistent quality standards becomes significantly harder.

Supervisors cannot walk the floor or listen over shoulders. DialPhone AI Quality provides identical scoring consistency regardless of agent location — every remote agent receives the same objective evaluation criteria, immediate post-interaction feedback, and personalized coaching recommendations as on-site staff. Remote teams using DialPhone close the quality gap between in-office and WFH agents within 60 days of deployment.

From conversation to quality score

  1. Record and capture. DialPhone captures every interaction — voice calls, live chats, emails, and SMS — in real time. Recordings and transcripts are stored securely with full encryption and retention policy controls. No third-party recording tool required.
  2. AI transcribes and analyzes. Speech-to-text AI generates accurate transcriptions within seconds of interaction completion. Natural language processing identifies sentiment shifts, topic changes, compliance language, and customer intent throughout the conversation.
  3. Score against your custom rubric. Each interaction is evaluated against your configured scorecards — weighted criteria for compliance disclosures, empathy markers, resolution quality, script adherence, upsell attempts, and any custom metric your operation tracks. Scoring is objective and consistent across every interaction, every agent, every time.
  4. Flag coaching opportunities. Interactions that fall below threshold scores or trigger specific rules — sentiment drops, missed disclosures, unresolved complaints — are flagged automatically for supervisor review. Agents receive immediate post-interaction feedback with specific, actionable improvement guidance rather than generic coaching notes.
  5. Generate reports and trend analysis. QA scores, coaching completion rates, compliance metrics, and performance trends aggregate into dashboards at the agent, team, and organization level. Exportable reports are generated on schedule for leadership review, client SLA documentation, and regulatory audit readiness.

The cost of manual QA versus AI

Manual QA: Expensive and Incomplete

A dedicated QA analyst reviews 10–15 calls per day — listening to recordings, filling out scorecards, writing coaching notes, and documenting compliance checks. At an average salary of $55,000 per year (plus benefits, tooling, and management overhead), each manually reviewed call costs your organization $18–$25. For a 50-agent contact center generating 10,000 interactions per month, a single QA analyst covers less than 3% of total volume. Hiring enough analysts to cover meaningful sample sizes becomes prohibitively expensive.

AI Quality: Complete Coverage at a Fraction of the Cost

DialPhone AI Quality scores 100% of interactions for $34 per user per month as part of the AI add-on. For a 20-agent team, that is $680 per month — covering every single call, chat, email, and SMS interaction without adding headcount. The same 20-agent team would require 2–3 full-time QA analysts at $110,000–$165,000 per year to review even a 10% sample manually.

Annual Savings: 20-Agent Team

Replacing manual QA sampling with DialPhone AI Quality saves $110,000+ per year in analyst salaries alone — while increasing coverage from 3% to 100%. Managers reclaim 10–15 hours per week previously spent on manual call reviews, redirecting that time to high-value coaching and process improvement. The compounding effect of 100% scoring visibility, faster coaching cycles, and proactive compliance monitoring drives a measurable 19-point NPS improvement within the first six months.

Frequently asked questions

How does AI QM differ from manual quality review?
Traditional QA teams manually review 1–2% of interactions — meaning 98% of calls, chats, and emails are never evaluated. AI Quality Management scores 100% of interactions automatically against your custom criteria, eliminating sampling bias, blind spots, and the 10+ hours per week managers spend listening to calls. Every agent gets consistent, objective feedback on every interaction.
Can I define my own scoring criteria?
Yes — fully. You create custom scorecards with weighted criteria for compliance disclosures, empathy, resolution quality, script adherence, upsell attempts, CSAT predictors, and any other metric your operation tracks. Criteria are configured with a no-code editor. You can run multiple scorecards simultaneously for different teams, channels, or campaign types.
How much time does it save managers?
Managers typically save 10–15 hours per week by eliminating manual call listening and scoring sessions. That time is redirected to high-value coaching conversations, process improvements, and team development — rather than administrative QA review work.
Does AI Quality Management handle compliance monitoring?
Yes. AI Quality automatically verifies required disclosures, regulatory language, and policy compliance on 100% of interactions — covering HIPAA, PCI-DSS, TCPA, and custom internal compliance frameworks. Violations are flagged immediately for review. Compliance audit reports are generated automatically, eliminating manual audit sampling.
Does it integrate with existing QA workflows and BI tools?
Yes. AI Quality Management integrates with your existing contact center workflows and exports data to external BI tools via API. Pre-built connectors for Salesforce, Zendesk, ServiceNow, and major QA platforms are included. Scores, transcripts, and flags flow into your CRM automatically.
How quickly do agents see their feedback?
Agents receive automated QA feedback immediately after each interaction ends — no waiting for weekly or monthly review cycles. Real-time feedback means issues are corrected within hours of occurring, not weeks later when the context has been forgotten.
How does DialPhone AI Quality compare to 8x8 or Dialpad quality management?
8x8 offers AI-powered quality scoring and Dialpad includes call scoring — but Dialpad locks AI Scorecards to its $150/agent Premium tier. DialPhone AI Quality is included in the CC Professional plan at $95/agent, covers 100% of interactions (not sampled), and includes compliance monitoring, competitor signal detection, and personalized coaching path generation that neither 8x8 nor Dialpad match at this price point.

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