AInora

Quality Control & Compliance Teams

Your QA team listens to 3% of calls. The other 97% hide your training gaps.

AI scores every call against your rubric. Script adherence, compliance phrases, sentiment shifts, coaching clips. Your QA team stops sampling and starts managing exceptions.

Scores in near real-time|100+ languages|GDPR-ready
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The QA coverage gap

2-5%

of contact center calls reviewed under traditional manual QA sampling, per industry benchmark

100%

call coverage achievable with AI-driven quality management at a fraction of the manual cost

40%

reduction in QA review time reported by contact centers moving from sampling to AI-first scoring

Sources: Gartner Contact Center QA benchmarks, CCW Market Study, McKinsey Contact Center Report

What it does

Built for how QA teams actually review.

100% call transcription and scoring

Every call, every agent, every shift. AI transcribes and scores in near real-time, so QA review shifts from random samples to exception management.

Script adherence flagging

AI compares each call against your required openings, disclosures, and confirmations. Missed steps surface in a dashboard with the exact timestamp and clip.

Compliance phrase detection

Mini-Miranda, consent language, recording disclosures, required scripts. AI watches every call for regulator-mandated phrasing and flags any miss.

Sentiment and escalation alerts

AI tracks caller sentiment shifts and flags escalation risk in real time. Supervisors get alerted while the call is still live, not in the post-call review.

Coaching-ready clip generation

AI clips the exact moment an agent nailed the rebuttal or missed the empathy cue. Your coaches build training libraries without scrubbing hours of audio.

Multilingual audit

Mixed-language call floors? AI scores calls in 100+ languages to the same rubric. Your QA team stops being limited to the languages they personally speak.

Live demo

Hear our AI in action

Jessica is our sales assistant. Same voice tech, configured for QA and compliance monitoring.

Why now

Sampling was a constraint. AI removes it.

Small samples miss systemic issues

AI reviews 100 percent of calls. A pattern that appears in 12 percent of conversations is visible the week it starts, not in a quarterly audit.

Compliance violations are expensive

Missed mini-Miranda or consent disclosure is caught the same day. Your compliance officer reviews exceptions with timestamped clips, not subpoenas.

Coaching is reactive

AI surfaces the exact clip of the rebuttal that closed and the empathy cue that was missed. Coaches build curricula from evidence, not anecdote.

Reviewer hours do not scale

Scoring runs automatically. Your reviewers spend their hours on the 3 to 8 percent of calls that need judgment, not the 92 percent that follow the script.

How it works

From call recording to coaching clip.

01

Call recorded and ingested

AI pulls calls from your recording platform automatically. Inbound, outbound, all agents, all shifts.

02

AI transcribes and scores

Every call scored against your rubric. Script adherence, compliance phrases, sentiment, disposition. Flags raised where required.

03

Reviewers handle exceptions

Your QA team sees a prioritized queue: compliance misses first, borderline sentiment next, strong coaching moments highlighted.

Choice architecture

What AI scores. When a reviewer joins.

AI handles the volume. Your reviewers handle the judgment calls, with context already attached.

AI scores

Every call, every shift

A reviewer joins

With context attached

Transcription of every call in 100+ languages
Interpretation of nuanced tone or cultural context
Script adherence scoring and opening/closing checks
Disputes where script deviation produced better outcome
Compliance phrase presence and position detection
Regulator-facing audit packaging and sign-off
Sentiment arc and escalation-risk flagging
Complaint adjudication and customer-recovery decisions
Coaching clip extraction with highlighted moments
Curriculum design and role-play scenario authoring
Dashboard aggregation and agent-level trend lines
Performance conversations with the agent

Your rubric, required phrases, and escalation thresholds are set during onboarding. Adjust anytime through your account manager.

What you get from us

Your partner, not just a tool.

Every QA team has its own scorecard, required phrases, and calibration history. We build around yours and calibrate against your baseline so scores stay trustworthy.

Week 1

Discovery and configuration

We map your scorecard, required phrases, compliance rules, and escalation alerts. We review historic calls to learn your calibration baseline.

Week 2

Build and calibration

We build your scoring, connect to your recording platform, and calibrate against historic calls so AI scores match your existing QA baseline before go-live.

Ongoing

Weekly calibration

Your account manager reviews override patterns, updates the rubric as scripts and compliance shift, and flags any systemic pattern that needs your team.

Integrations

Plugs into the QA and recording stack you already run.

AI writes scores, flags, and clips straight into your QM and ticketing tools. No separate review app to chase.

CallMiner·
Observe.AI·
Cogito·
Verint·
NICE·
Salesforce Service Cloud·
Zendesk·
Google Calendar·
Zapier·
Make·
n8n·
Custom API·
CallMiner·
Observe.AI·
Cogito·
Verint·
NICE·
Salesforce Service Cloud·
Zendesk·
Google Calendar·
Zapier·
Make·
n8n·
Custom API·

Plus 7,000+ apps via Zapier, Make, and n8n. If your system has an API, we connect it.

Enhanced handoff

How the review handoff works.

When AI flags a compliance concern, it does not just raise a ticket. It prepares the full context so the reviewer decides in minutes, not hours.

Call happens
Does it flag a compliance concern?
No
AI scores and logs

Scorecard updated, agent dashboard refreshed, coaching clips tagged for library.

Yes
AI prepares the reviewer packet
·Timestamped clip of the flagged segment
·Rule or phrase that triggered the flag
·Agent and customer sentiment trace
Reviewer confirms or overrides

Overrides feed back to AI so next week's scoring is sharper.

FAQ

Frequently asked questions.

Traditional QA listens to 2 to 5 percent of calls and hopes the sample is representative. AI scores 100 percent, surfaces exceptions against your rubric, and lets your QA team spend their hours reviewing only the calls that need human judgment. The training gaps that used to hide in the other 97 percent are visible.
Yes. For regulated workflows, AI monitors live calls and alerts supervisors the moment a required disclosure is skipped or a prohibited phrase is used. Post-call, AI builds a compliance audit log with timestamped evidence for every interaction.
Most QA and compliance deployments go live in about two to three weeks. Week 1 is discovery: we map your scorecard, required phrases, compliance rules, and escalation alerts. Week 2 is build, test, and integration with your recording platform. Week 3 is calibration against historic calls so scores match your existing QA baseline.
AI handles the initial scoring, flagging, and clipping. For exceptions, borderline sentiment, ambiguous compliance cases, or disputes, AI routes the call to a human QA reviewer with the clip, transcript, and flagged segment highlighted. Your reviewer confirms, overrides, or escalates. The AI learns from every override.
Yes. AI scores inbound service, outbound sales, collections, surveys, and retention calls to whatever rubric you configure. Different scorecards for different call types are supported from day one.

Ready to stop sampling and start seeing?

Let AI score every call so your QA team can spend their hours on the ones that need human judgment.

Book a free consultation