AI Call Analytics for Contact Centres

Your QA team hears 2–5% of calls. Metricsense analyses 100%.

Send audio or transcripts. Metricsense scores both sides of every call, links each insight to the exact moment, and flags the one that becomes a complaint the same day, while you can still act.

Hosted in your own AWS (ap-southeast-2) Likely breaches flagged same-day Keeps your existing QA team and scorecards
2
sides scored on every call: customer and agent
<1hr
from transcripts to first insight
15+
AI insights per call, in your wording
0–100
per-agent Call Quality Index

95% of your calls are recorded, then never heard again. The systemic issue hides in the calls nobody got to, until it surfaces as churn or a complaint.

How it works

From raw transcripts to coaching-ready evidence in four steps.

1Connect

Bring calls in from anywhere

Ingest transcripts in real time from any call system (AWS Connect, Genesys, Twilio, your dialer) via our API, or send a one-off CSV. Already have audio? We transcribe it too.

SourcesStreaming
ACAWS ConnectConnected
GSGenesys CloudConnected
CSV upload · audio + transcriptsTranscribing
2Define

Describe what to find, in plain English

Configure insights in plain English: compliance, sentiment, escalation risk, empathy, CSAT. No tagging, no model training.

Insight composer
Define an insight
Flag any call where the agent gave personal advice without the General Advice Warning, or explained a premium structure incorrectly.
Compliance Sentiment Escalation risk Empathy CSAT
No tagging. No model training.
3Analyse

Every insight, across every call

AI runs every insight across every call. Click any data point to drill into the transcript with audio playback at the exact moment.

Transcript · Call #482103:42
03:31Caller "So which one would actually be the best for me?"
03:42Agent "Honestly, I'd go with this one if I were you, that's the best one for your situation."×Personal advice · General Advice licence
03:42 / 06:50
4Act

Evidence you can take into the room

Live dashboards, threshold alerts by email, and evidence you can take straight into a coaching session or a board report.

CQI trend · last 14 days
! Threshold alert · CQI dropped below 70.
Agent #14 · 3 calls flagged for advice boundary → email sent to team lead
The product

Most tools score the customer. We score the agent too.

Transcribe-and-stop tools tell you what was said, not why the call went wrong. Metricsense scores both sides of the same call.

Side one

Customer side

Customer sentiment and sentiment group
Predicted CSAT score (1–10)
Complaint identification
Recurring issue patterns across calls
Escalation indicators and risk level
Side two · the differentiator

Agent side

General advice boundary: flags likely personal advice
Technical correctness of product explanations
Resolution clarity and confirmation
Interruption and talk-over patterns
Call Quality Index (0–100 composite)
Selling insurance by phone? The full compliance spotlight, general vs personal advice and premium-structure accuracy with flagged examples, lives on its own page.
See the insurance page →
Built for the contact centre

One platform, three jobs done.

One buyer, the compliance or risk leader, with two teams who live in it every day.

The buyer · CX, Compliance & Centre leaders

See the systemic issues

Recurring-issue rankings across the whole floor
A defensible, same-day view of compliance risk
Feed call insights back to product and policy
Daily user · QA & Quality Analysts

Stop hand-scoring a sample

Auto-scored QA forms replace manual call pulls
Consistent, bias-free scoring across every agent
Review time goes to the flagged calls that matter
Champion · Ops & Team Leads

Coach from data, not memory

Per-agent quality trends and outlier detection
Pinpoint training gaps from real conversations
Threshold alerts when scores or issues spike
Why you can trust it

A tool you can defend, to your QA team and to the regulator.

On your data, inside your own cloud, and inside your own compliance process.

Could our calls reach a competitor?

Never. We publish no client names, calls or results, and no client's data goes near another's. Nothing you send trains a model shared with anyone else.

Where does our data live?

The entire platform deploys inside your own cloud (e.g. AWS ap-southeast-2). PII is stripped before any transcript reaches the model; your security team signs off once.

Is the judgment defensible?

Every flag pins to the exact transcript moment against a documented, versioned insight definition. Consistent methodology, specific evidence, never a black box.

What about false positives?

Human-in-the-loop: flags reach your QA team with the evidence attached, and they confirm or dismiss. The model never disciplines an agent; scores stay a role-based coaching tool.

New obligations from 100% monitoring?

A flag is a candidate issue, not a finding of breach. Your team runs the reportable-situations assessment under your own framework; we report nothing to a regulator.

How long is anything kept?

Transcripts, audio, flags and scores follow your retention schedule and purge on your timeline. Pilot data is deleted on request once the pilot ends.

Prove it first: we run your insights on a sample of your real calls and you check precision and recall against your own QA before you commit.

Live case study

More than half of their premium explanations were only partly accurate. No human sample would have caught it.

Australian life insurance contact centre · name withheld by design

Fifteen insurance-specific insights configured in their own wording: general advice boundaries, TPD definitions, super-funding nuances. Every call scored on both sides, inside their own AWS account.

5,438
calls read, both sides
15
AI insights configured per call
54%
of premium explanations only partly accurate
0
new QA analysts added
Pricing

One plan: deployed in your own cloud, priced to your volume.

No self-serve tier and no per-seat fee. We scope to your call volume, insights and security needs, then quote a single package.

Custom · Enterprise

Full platform, deployed in your own cloud, scoped to your volume and compliance needs.

Custom
scoped to your volume
Whole platform in your own cloud; health & underwriting data never leaves your environment
100% of calls analysed: customer side and agent side
15+ AI insights per call, configured in your own wording
Real-time ingestion from any call system, or CSV upload
Per-agent Call Quality Index with an auditable, versioned evidence trail
Multilingual analysis, validated on your own languages during the pilot
FAQ

Questions contact centre teams ask

Does Metricsense need transcripts, or can it take our audio?

Both. Send call audio and Metricsense transcribes and analyses it; if your telephony already produces transcripts, send those and you only pay for analysis. Any call system, through our API or a CSV upload.

How is this different from my existing QA scorecards?

Manual QA samples 2–5% and scores subjectively. Metricsense scores 100% consistently against the same SOP, links every score to the exact moment, and trends a per-agent Call Quality Index. You keep your QA team and scorecards; your analysts spend their time on the flagged calls that matter.

Can it score both the customer and the agent?

Yes, and it's the core differentiator: the customer side (complaints, frustration, escalation, predicted CSAT) and the agent side (compliance, accuracy, empathy, resolution) on the same call, at once.

Stop sampling. Start hearing every call.

Start with a sample of your own calls. We configure your insights, run them across 100% of that sample, and send back a risk readout scored against your own QA.

Prefer email? hello@metricsense.ai. Not your call to make alone? Forward this page to your Head of Compliance.

Metricsense by Avesta Labs · AI analytics for every conversation your business has.