Analytics & CX
AI Quality Assurance for every interaction
Automate performance scoring and compliance monitoring for every agent interaction—score 100% of conversations, not a small sample.
Challenges
What this product helps teams solve
Tiny QA samples
Manual scoring covers a fraction of interactions and misses risk.
Inconsistent evaluators
Different coaches apply scorecards differently without calibration.
Slow coaching loops
Agents wait too long for feedback that should be actionable now.
Outcomes
Business outcomes
- Scale QA without headcount
- Consistent scoring
- Faster coaching loops
How it works
From first contact to resolution and insight
Follow the animated workflow below—each step shows the full action path from customer contact through resolution and insight.
AI Quality Assurance (QA) flow
Step 01
Interactions enter the QA pipeline
Step 02
AI scores against your scorecard
Step 03
Compliance and policy checks
Step 04
Calibration and dispute workflows
Step 05
Coach packages and trend dashboards
Capabilities
Key capabilities in detail
Auto-score at scale
Evaluate far more conversations than manual sampling allows.
Configurable scorecards
Align AI evaluation to your quality and compliance standards.
Policy monitoring
Flag script adherence and compliance indicators consistently.
Calibration workflows
Keep human and AI scoring aligned over time.
Coach-ready packages
Give supervisors clear moments and themes to coach on.
Team trend dashboards
Track quality by team, skill, and period.
- Auto-score every interaction
- Configurable QA scorecards
- Compliance and policy monitoring
- Calibration and dispute workflows
- Coach-ready insight packages
- Trend dashboards by team and skill
Use cases
Where teams apply AI Quality Assurance (QA)
Practical scenarios with full detail—so stakeholders can map this product to real operating workflows.
Use case 01
100% interaction QA programs
Score far more conversations than manual sampling allows.
Use case 02
Compliance-heavy industry scoring
Evaluate regulated conversations against scorecards.
Use case 03
New-hire coaching acceleration
Give new agents faster, evidence-based feedback.
Use case 04
Script adherence monitoring
Check whether required scripts were followed.
Use case 05
Dispute and calibration governance
Keep human and AI scoring aligned over time.
Use case 06
Quality trend reporting by site
Compare quality trends across teams and locations.
Built for
Teams that own customer conversations
Designed for the roles that fund, operate, and improve customer communications every day.
- Quality assurance managers
- Compliance and risk owners
- Contact center coaches
- Operations excellence leaders
- QA calibration committees
- Risk and audit stakeholders
- Training and enablement leads
- Multi-site quality directors
Related in Analytics & CX
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Conversational Intelligence Suite
Extract deep insights, trends, and topic breakdowns from 100% of recorded customer interactions.
Product FAQ
AI QA reviews conversations against scorecards and policy cues so quality teams sample more coverage with less manual effort.
Scale QA without scaling headcount
Review scorecards, compliance checks, and coaching workflows for your teams.