NewNew: The enterprise guide to Agentic AI — 24 min read.

Read →
Slide 1 of 3
100%
Interactions scored
10x
QA capacity per reviewer
+12pt
Compliance adherence
50%
Reduction in escalations
The enterprise challenge

Manual QA reviews 3% of calls. Compliance risk lives in the other 97%.

Traditional QA can't scale to the volume of a modern contact center. Automated Quality closes the gap with calibrated scoring across every interaction.

  • Sampling bias
    Manual reviewers pick the calls they can reach — not the ones that matter most.
  • Inconsistent scoring
    Different reviewers, different scores. Coaching becomes an argument.
  • Delayed feedback
    Coaching that arrives a week later doesn't change agent behavior.
Capabilities

A QA operating model, not just a scoring engine.

01
100% interaction scoring

Every voice and digital contact scored against a calibrated rubric.

02
Compliance detection

Miranda, mini-Miranda, disclosures, right-party contact, TCPA and industry-specific checks.

03
Empathy & sentiment

Beyond keywords — model-based scoring of tone, empathy and resolution quality.

04
Coaching insights

Prioritized coaching queues for team leaders, tied to skill gaps and improvement plans.

05
Calibration workflow

Human reviewers calibrate the model, keeping scores defensible to agents and unions.

06
Executive dashboards

Quality trends by queue, product, geography and cohort — with drill-down evidence.

How we deliver

A six-step model, from assessment to managed operations.

Every engagement follows the same rhythm — so business, IT and delivery stay aligned from opportunity to outcome.

01
Assess

Rubric review and current-state QA audit.

02
Design

Model, calibration and coaching workflow.

03
Pilot

One BU, calibrated to human reviewers.

04
Implement

Integration with CCaaS and WFM.

05
Scale

Rollout across queues and geographies.

06
Operate

Ongoing calibration and rubric evolution.

Where it lands

Use cases already in production with enterprise clients.

Regulated industry compliance

Automated evidence for financial services, healthcare and collections disclosures.

BPO client SLAs

Per-client scorecards, drill-down evidence and client-facing quality reporting.

New-hire ramp acceleration

Weekly coaching insights per agent from week one — not month three.

Sales quality

Discovery-to-close scoring for revenue teams, tied to CRM outcomes.

Runs on

Partner platforms we implement

  • Kore.ai logo
  • NICE CXone logo
  • Genesys Cloud CX logo
  • Amazon Connect logo
  • Five9 logo
  • Google CCAI logo
  • Salesforce Agentforce logo
  • Microsoft Dynamics 365 CCaaS logo
Explore platform capabilities →
Runs on

Grounded on your data. Governed on day one.

Every platform we implement is only as good as the retrieval, connectors and controls behind it. These are the horizontal solutions we ship with every engagement.

Not sure where to start? Score your organization in 10 minutes.Take the AI Readiness Assessment →
Explore next
Frequently asked

Questions buyers ask us first.

Will agents accept AI scoring?
Yes — when it is calibrated to human reviewers, defensible on any single call, and paired with coaching rather than discipline.
Which CCaaS platforms do you support?
All seven leading platforms plus legacy recording sources like Verint, NICE, Calabrio and native cloud recorders.
How is this different from speech analytics?
Speech analytics finds keywords. Automated Quality scores full interactions against a calibrated rubric and drives coaching action.
Next step

Book a working session with our automated quality team.

30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.