Does automated QA replace human quality analysts entirely?

It replaces sampled manual scoring; human analysts shift to calibration, escalations and coaching rather than scoring every call themselves.

How is scoring accuracy validated?

The model is calibrated against a set of calls scored by the client's own QA team before it is trusted for full-coverage scoring.

Which platforms does this integrate with?

It integrates with the client's existing CCaaS recording and interaction data, regardless of the underlying voice or digital platform.

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.

How is an automated quality engagement priced and what drives cost?

We price a fixed-fee rubric and calibration phase, a milestone-based build against agreed queues and compliance checks, and a monthly managed-run fee scaled to interaction volume. Cost is driven by the number of channels and languages scored, the depth of compliance rules required, and how many CCaaS and WFM systems need live integration.

How long does it take to reach a first production release?

A calibrated pilot on one business unit typically goes live in 6–10 weeks, covering rubric design, model calibration against human reviewers and CCaaS integration. Additional queues and languages roll out faster once the rubric and calibration workflow are proven.

Which CCaaS platforms does automated quality run on and how do we choose?

We deploy automated quality on Amazon Connect, Genesys Cloud CX, NICE CXone, Five9, Google CCAI and Kore.ai, alongside native and third-party recording sources. Platform choice follows where your voice and digital interactions already live and how much native QM capability that platform provides.

What does managed support for automated quality include?

Managed support covers ongoing rubric calibration, compliance rule updates, coaching-queue tuning and incident response under a documented SLA, with business-hours coverage as standard and 24x7 coverage available for regulated, high-volume programs.

What does certified automated quality talent cost, notice period and delivery locations?

Certified quality analysts and calibration specialists are billed at a monthly per-person rate with a standard notice period for ramp-down. Delivery is led from our Plainsboro, NJ headquarters, staffed from our Hyderabad global delivery center, plus London and Dubai for regional coverage.

Can automated quality management handle multiple languages and regulated industries?

Yes. Rubrics and compliance checks are localized per language and per regulatory regime — Miranda and mini-Miranda warnings, TCPA disclosures, HIPAA and financial-services requirements — and calibrated separately so scoring stays defensible across markets.

Automated Quality Management (AI QA) Services

Book a strategy session Explore the reference architecture

100% — Interactions scored

Outcomes

Measurable outcomes, not slideware.

Automated Quality engagements are designed around a small set of business outcomes we commit to at kickoff.

Book a scoping call

ROI modellive calculator

Inputs

Interactions scored100%

QA capacity per reviewer10x

Compliance adherence+12pt

Output

Reduction in escalations50%

How we deliver

Assess → Design → Pilot → Implement → Scale → Operate.

One delivery model that moves from strategy to production without handoffs — with managed operations built in.

See how we deliver

Implementation · Automated Qualityphased delivery

Assess

Rubric review and current-state QA audit.

wk 1

Design

Model, calibration and coaching workflow.

wk 3

Pilot

One BU, calibrated to human reviewers.

wk 5

Implement

Integration with CCaaS and WFM.

wk 7

Scale

Rollout across queues and geographies.

wk 9

Operate

Ongoing calibration and rubric evolution.

wk 11

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.

100% interaction scoring

Every voice and digital contact scored against a calibrated rubric.

Compliance detection

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

Empathy & sentiment

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

Coaching insights

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

Calibration workflow

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

Executive dashboards

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

Reference architecture

The automated quality architecture.

From sampled manual review to scored coverage of every interaction, with calibration and appeal built in.

Quality & coachingSystems of record

01
Quality & coaching workspace
Scorecards, coaching queues, calibration sessions and agent-visible feedback with dispute handling.
02
Scoring & evaluation
LLM scoring against your rubric, confidence thresholds, sampling for human calibration and drift detection per model version.
03
Transcription & redaction
Speech-to-text across languages and channels, with PII/PCI redaction before evaluation and storage.
04
Interaction capture
Recordings, transcripts, screen and metadata drawn from the CCaaS platform and recording estate.
05
CCaaS, WFM & systems of record
Quality outcomes flowing into WFM, performance management and reporting.

Definition

What is automated quality management?

Automated quality management (AQM) is AI scoring of every customer interaction against the quality scorecard, replacing the traditional 2–3% manual sample. Each score links to the moment in the transcript that produced it, human calibration keeps the AI aligned to the rubric, and coaching queues are generated automatically from the findings so supervisors spend their time coaching rather than listening to calls.

Also known as: AI quality management, 100% QA coverage, auto QA.

Moving from sampled QA to 100% coverage in five steps

Step 1
Rewrite the scorecard
Convert subjective criteria into observable, evidence-linkable behaviours an AI and a human can both score.
Step 2
Calibrate against humans
Score a labelled set with both AI and evaluators until agreement clears the threshold you would accept from a new QA analyst.
Step 3
Turn on full coverage
Score every interaction in shadow first, publishing results to supervisors before they affect agent records.
Step 4
Automate coaching
Route findings into coaching queues with the exact transcript moment attached, and track whether behaviour changed.
Step 5
Report the evidence
Publish program-level quality evidence to clients or business owners, replacing sample-based scorecards.

Manual sampled QA vs automated quality management

Manual sampled QA vs automated quality management
Dimension	Manual sampled QA	Automated quality management
Coverage	2–5% of interactions	100% of interactions
Bias	Sample and evaluator bias	Consistent rubric, calibrated periodically
Time to finding	Days to weeks	Minutes after the interaction
Evidence	Evaluator notes	Linked transcript moments per score
Supervisor time	Mostly listening	Mostly coaching

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.

Assess

Rubric review and current-state QA audit.

Design

Model, calibration and coaching workflow.

Pilot

One BU, calibrated to human reviewers.

Implement

Integration with CCaaS and WFM.

Scale

Rollout across queues and geographies.

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.

Delivered by

Pronix service lines

Runs on

Partner platforms we implement

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 →

Quick answer

What does Pronix's automated quality management implementation cover?

Pronix implements automated quality management that scores every recorded interaction against a compliance and coaching rubric using AI call scoring, replacing sampled manual QA, for contact centers that need full-coverage compliance evidence rather than a small monthly sample. Delivery is led from Plainsboro, NJ with configuration and calibration delivered through the Hyderabad center.

Last reviewed 2026-08-05

Full coverage instead of a sample

Automated scoring evaluates one hundred percent of interactions rather than the two to five percent a manual QA team can realistically review.

Rubric calibration matters most

The scoring model is tuned against the client's own quality rubric and a set of human-scored calls, which is what makes automated scores trustworthy to QA leads.

Coaching, not just compliance

Scores feed agent coaching workflows and dashboards, not only a compliance archive, so quality data drives day-to-day agent development.

How Automated Quality engagements are bought, supported and staffed.

Most enterprises start with an assessment, move into a fixed-scope build, keep it running under managed support, and add quality analysts and calibration specialists where their own team is short. All four can run together under one commercial agreement.

Assessment and roadmap
A bounded Automated Quality assessment: current-state review, prioritized use cases, target architecture, business case and a sequenced delivery roadmap.
Fixed price · 2–4 weeks typical
Fixed-scope build
A defined Automated Quality implementation — architecture, build, integration, testing, evaluation and a documented production release against agreed acceptance criteria.
Fixed price · 8–16 weeks typical
Managed run and support
Monthly operations for Automated Quality in production: release management, integration monitoring, configuration changes, model and agent evaluation and incident response under one SLA.
Monthly service tier · 24×7 coverage available
Staff augmentation
Quality analysts and calibration specialists, solution architects and delivery leads embedded in your team, reporting to your delivery manager.
Monthly per person · typically live in 2–4 weeks

Where Automated Quality delivery happens

Programs are led from our Plainsboro, New Jersey headquarters and delivered with our Hyderabad global delivery center, plus London and Dubai for EMEA and Middle East clients.

Support coverage

Business-hours support in your time zone as standard, follow-the-sun 24×7 for production contact center and agentic workloads, with named escalation and monthly service reviews.

Get a Automated Quality scope and price Hire quality analysts and calibration specialists

Submit a project brief

Scoping a Automated Quality programme? Send us the brief.

Four fields. Tell us the outcome and timeline and a delivery lead for this area replies with indicative scope, team shape and commercial options.

solutionAutomated Quality — routed to this team

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Where this fits in our practice

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.
How is an automated quality engagement priced and what drives cost?: We price a fixed-fee rubric and calibration phase, a milestone-based build against agreed queues and compliance checks, and a monthly managed-run fee scaled to interaction volume. Cost is driven by the number of channels and languages scored, the depth of compliance rules required, and how many CCaaS and WFM systems need live integration.
How long does it take to reach a first production release?: A calibrated pilot on one business unit typically goes live in 6–10 weeks, covering rubric design, model calibration against human reviewers and CCaaS integration. Additional queues and languages roll out faster once the rubric and calibration workflow are proven.
Which CCaaS platforms does automated quality run on and how do we choose?: We deploy automated quality on Amazon Connect, Genesys Cloud CX, NICE CXone, Five9, Google CCAI and Kore.ai, alongside native and third-party recording sources. Platform choice follows where your voice and digital interactions already live and how much native QM capability that platform provides.
What does managed support for automated quality include?: Managed support covers ongoing rubric calibration, compliance rule updates, coaching-queue tuning and incident response under a documented SLA, with business-hours coverage as standard and 24x7 coverage available for regulated, high-volume programs.
What does certified automated quality talent cost, notice period and delivery locations?: Certified quality analysts and calibration specialists are billed at a monthly per-person rate with a standard notice period for ramp-down. Delivery is led from our Plainsboro, NJ headquarters, staffed from our Hyderabad global delivery center, plus London and Dubai for regional coverage.
Can automated quality management handle multiple languages and regulated industries?: Yes. Rubrics and compliance checks are localized per language and per regulatory regime — Miranda and mini-Miranda warnings, TCPA disclosures, HIPAA and financial-services requirements — and calibrated separately so scoring stays defensible across markets.

How we work

Every CX and contact center program runs through one of four engagement models — advisory, implementation, managed operations or embedded pods.

Strategy & advisory Implementation Managed services Talent pods All engagement models →

Who we are

pronix.ai is the AI & CX systems integrator practice of Pronix Inc.

One accountable delivery model: US-based architecture and program leadership with global engineering pods running 24×7 build, cutover and hypercare.

Founded: 2010 · Pronix Inc
Headquarters: 666 Plainsboro Rd, Suite 1361, Plainsboro, NJ 08536
Delivery centers: United States · India (Hyderabad) · EMEA
Engagement model: Fixed-scope implementation, managed run, staff augmentation and T&M Agile Teams.

Certifications

AWS Certified (Solutions Architect, Developer)
Amazon Connect specialty
Genesys Cloud CX certified
NICE CXone certified
Salesforce certified (Service Cloud, Agentforce)
Microsoft Azure AI certified

Security questionnaires, controls documentation and named client references are available under NDA. More about Pronix Inc →

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.

Schedule the session →Read the playbook

Automated quality management for contact centers.

Measurable outcomes, not slideware.

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

A QA operating model, not just a scoring engine.

The automated quality architecture.

Quality & coaching workspace

Scoring & evaluation

Transcription & redaction

Interaction capture

CCaaS, WFM & systems of record

What is automated quality management?

Moving from sampled QA to 100% coverage in five steps

Rewrite the scorecard

Calibrate against humans

Turn on full coverage

Automate coaching

Report the evidence