Platform · Quality Management

Automated Quality Management. 100% QA coverage across every call.

Use Generative AI to pinpoint and fix gaps in your service. Automate QA and achieve 100% coverage across agents, teams, BPOs, and languages — and create lifelong customers along the way.

100%
Calls automatically
scored
95%+
Scoring accuracy
vs. human reviewers
68h
Hours saved per QA
specialist / month
<4h
From call to
compliance flag
100% scored
2,148 calls today
!
14 flags raised
Sent to team leads
Scorecard · #CX-4421
Auto-scored
88
Call #CX-4421 · 6:14
Agent Sarah A.
Retail desk · EN-US · 2 min ago
Pass
Greeting compliance
96%
Identity verification
92%
Empathy phrases
88%
Cross-sell offered
42%
Closing compliance
91%
100%
Calls scored automatically
(vs. 3% sampling baseline)
95%+
Inter-rater agreement
vs. expert reviewers
68h
QA specialist hours
reclaimed per month
−74%
Compliance gap detection
lag vs. quarterly audit
Before vs. with QM

Stop sampling. Start covering everything.

Same QA team. Same rubric. Different reality. Manual review caps at 3–5% of calls; Quality Management scores every conversation, fairly and consistently.

Before QM

Manual quality auditing

  • 2–5% sampling rate per agent per month
  • $5–10 cost per evaluation, fully loaded
  • 70–80% inter-rater agreement (McKinsey)
  • 11–14 day lag from problem to coaching
  • Compliance gaps surface at quarterly audits
  • QA team buried in scoring backlog
  • Eight subsidiaries → eight different rubrics
With QM

Automated Quality Management

  • 100% automatic scoring on every call
  • ~$0.40 cost per evaluation at scale
  • 95%+ agreement with expert reviewers
  • Coaching reaches agents within hours
  • Compliance flags raised in real time
  • QA team focused on coaching, not scoring
  • One unified scorecard, applied consistently
Four core capabilities

Score every call. Trust every score.

Quality Management gives you the four things that turn QA from a sampling exercise into an operational backbone.

Capability 01

100% automated AI scoring

Every conversation — voice, chat, email, ticket — scored against your rubric within minutes of close. 95%+ agreement with expert human reviewers, with playback timestamps and reasoning attached to every score so QA leads can verify in seconds.

  • Voice, chat, email, tickets — all scored on the same rubric
  • Playback timestamps on every criterion, every score
  • Generative-AI feedback auto-generated for the agent
  • Reasoning attached — no black-box scoring
See accuracy benchmarks →
Coverage report — last 30 days
100%
Calls scored
62,340 / 62,340
Up from 1,840 manual reviews (2.9%)
QA backlog cleared in 14 days · zero unscored calls since rollout
Capability 02
📋

Unlimited custom scorecards

Your rubric, applied consistently. Build scorecards with as many criteria as you need, set weights, mark deal-breakers, and apply them per team, per queue, per market — without writing a line of code.

  • Drag-and-drop builder — add criteria in seconds
  • Custom weights & deal-breakers per criterion
  • Per-team, per-queue, per-market scorecard variants
  • Versioning & audit trail for every change
Watch a 2-min builder demo →
Scorecard builder — Retail desk
Greeting compliance
Weight 10% · Mandatory
Identity verification
Weight 15% · Deal-breaker
Empathy phrases
Weight 12% · Soft criterion
APR disclosure
Weight 20% · Compliance · Deal-breaker
Cross-sell attempted
Weight 8% · Optional
+ Add criterion
Capability 03

Real-time compliance & keyword alerts

Risk & compliance teams get notified within minutes — not at quarterly audits. Configure rules once, catch missed disclosures, sensitive data, churn signals, and policy breaches before they accumulate into findings.

  • Mandatory-disclosure detection (APR, GDPR, MiFID)
  • Custom keyword & phrase rules with regex support
  • Webhook & email integrations for risk teams
  • Audit-ready trail on every alert & resolution
Compliance rule library →
Live compliance feed — last hour
!
APR disclosure missed — Bulgaria lending
Agent #1042 · Call #CX-4418
2m ago
~
Churn-risk language detected
Customer mentioned "switching to competitor"
8m ago
!
Data-handling policy breach
Card data spoken outside masked window
14m ago
Greeting compliance — 96% across team
Hungary retail · 1,840 calls today
23m ago
Capability 04
🤝

Calibration & dispute workflow

Trust the scores: a built-in dispute and calibration workflow lets agents challenge specific criteria, QA leads adjudicate, and the model learns. Inter-rater agreement keeps climbing — and agents stop seeing the system as an adversary.

  • Agent self-review portal with inline dispute
  • QA-lead adjudication & resolution workflow
  • Continuous calibration from disputed cases
  • Full audit trail for every adjusted score
How calibration improves accuracy →
Dispute #DS-2842 — Sarah A.
Agent submitted dispute
"Empathy criterion missed — phrase was at 0:34"
3d ago
QA lead reviewed
Marek K. · Retail desk lead
2d ago
3
Score adjusted · model retrained
88 → 92 · Empathy criterion recalibrated
12h ago
4
Agent notified
Pending: weekly digest delivery
tomorrow
What changes

Four shifts after 100% QA goes live

What customers tell us happens within the first 90 days of moving from sampling to full coverage.

📈

QA scores recalibrate downward — then climb steadily

The first week, scores drop 15–25% as the platform reveals what sampling missed. By month three, scores climb past the old baseline because coaching is finally targeted at real gaps.

QA team shifts from scoring to coaching

Specialists reclaim 60+ hours per month. The team's mandate moves from "review 200 calls a month" to "make every coaching session count" — a job that's actually fulfilling.

🛡️

Compliance moves from reactive to real-time

Missed disclosures get flagged within minutes — not weeks. Risk & Compliance teams get same-day visibility into systemic issues, with audit-ready evidence packs on tap.

😊

CSAT & FCR climb

Average lift across customers: +18 CSAT points and +14% first-contact resolution by month six. Coaching delivered while moments are fresh actually changes behavior.

What customers say

Words from teams running automated QA

Three perspectives from operators using Quality Management every day.

★★★★★

"Ender Turing's solution is very user-friendly and easy to use on a daily basis. They have implemented a few new solutions allowing us to automate analyses, create a knowledge base, and training slots. Despite a long time of cooperation, ET is focused on their customers — a platform that exceeds expectations."

TP
Tomasz P.
Quality Operations
★★★★★

"The best thing in ET is the incredible level of automation. During several months we have been transforming routine tasks from manual to automatic schedule. Especially I like the possibilities to work with data — now I can analyze any information almost immediately. Before ET we needed a lot of time for the same analysis."

V
Victoria
CX Analytics
★★★★★

"With Ender Turing we moved from sampling a few hundred calls per month to analyzing every single conversation. Our coaches now spend their time on what actually matters — helping agents grow, not searching for problems. The shift in how we run quality has been one of the biggest operational wins of the past year."

KM
Krisztina Molnár
Head of Contact Center · OTP Bank
Integrates into your ecosystem

Plugs into the tools you already run

Pre-built connectors for telephony, CRM, helpdesk and BI — Quality Management starts scoring on day one.

Five9
Telephony
VICIdial
Telephony
Genesys
Telephony
aircall
Telephony
Cisco
Telephony
Audiocodes
Telephony
HubSpot
CRM
Pipedrive
CRM
Zendesk
Helpdesk
daktela
Omnichannel
jtel
Omnichannel
Vozdigital
Omnichannel
Frequently asked questions

Common questions before kickoff

Picked from real onboarding conversations. If your question isn't here, send it our way — we answer within one business day.

💬

Have a different question?

Talk to our team →

Inter-rater agreement against expert human reviewers averages 95%+ across our customer base. Manual QA scoring (between two human reviewers) typically hits 70–80%, per McKinsey research. The platform is calibrated on your specific rubric before kickoff, so the accuracy you see is on your rubric — not on a generic benchmark.
Yes — that's the typical onboarding path. Bring your existing 12/18/24-criterion rubric, and we configure ML-trained classifiers to score each criterion automatically. Calibration on 1,000–1,500 manually-scored calls until inter-rater agreement is at the level you need.
Better than people expect. Two reasons: 1) every score has playback timestamps and reasoning attached, so agents can see exactly why; 2) the dispute workflow gives them a real avenue to challenge scores, and successful disputes feed back into model calibration. The system feels fairer than a human reviewer who might have a bad Monday.
Yes. The same platform supports per-team, per-queue, per-product, per-market, and per-language scorecard variants. Common pattern: a base rubric for the group, with team-specific overrides for retail vs. corporate vs. collections.
Every scored call generates an audit-ready record: criteria evaluated, scores assigned, model reasoning, playback timestamps, and any subsequent disputes/adjustments. Risk & Compliance can export evidence packs on demand — typically used during regulator inquiries (FCA, BaFin, KNF, HANFA).
28 days from kickoff to your first auto-scored production calls is our committed timeline. Scorecard calibration takes about a week, integration with your telephony 3–5 days, and the rest is pilot & rollout. Larger multi-country deployments run 12–14 weeks end-to-end.
Ender Turing specialist

See QM running on your conversations.

30-minute call where we'll connect a sample of your calls and show you live auto-scoring against your existing rubric, the dispute workflow, and the compliance feed — running on your data.