How KASHEF works

Every call, understood automatically.

KASHEF listens to every customer call, scores it, flags what matters, and tells you exactly what happened — in seconds, not after a manual review queue.

See how it works

The problem this solves

The old way vs. KASHEF

Manual QA TODAY

Supervisors can only review 1–2% of calls.
Feedback arrives days later.
Every reviewer scores differently.

KASHEF WITH KASHEF

100% of calls are analyzed the moment they're processed.
Issues surface in minutes, not weeks.
Every call is scored against the same criteria.

Step 1 · Ingestion

Calls come into KASHEF

It starts with a recording.

A call is recorded through your existing call center software and sent to KASHEF — either automatically through an integration, or uploaded directly. Processing starts the moment it arrives.

Call Center Software

Upload / API

KASHEF

call-4821.wav00:42 · 1.2 MB

Uploading… Received — processing started

Step 2 · Transcription

KASHEF listens

First, KASHEF turns speech into structured text.

KASHEF converts the call into an accurate transcript, detects the language automatically (99 languages, with deep support for Arabic and its dialects), and separates who said what — customer and agent — including who talked more.

Step 3 · AI Analysis

KASHEF understands

Then, KASHEF reads between the lines.

KASHEF reads the full conversation the way a QA analyst would — but instantly. It identifies the type of call, the customer's mood throughout, buying signals, signs the customer might leave, compliance issues, and everything that was agreed on or promised.

Watching KASHEF annotate — Call #4821

AGENT

Good morning, this is Sara from Noor Telecom. How can I help you?

CUSTOMER

I was overcharged on my last bill, and I want to cancel my subscription.

Churn risk Sentiment: negative

AGENT

No problem — I will waive the fee right away, no approval needed.

Compliance risk

CUSTOMER

Great — and actually, I would like to add a second line too.

Buying signal

Everything KASHEF extracts from one call

Call Type
Customer Sentiment
Sales Potential
Churn Risk
Compliance & Risk
Keywords Detected
Action Items
Decisions Made
Call Summary

Step 4 · QA Scoring

KASHEF scores the call

Every call gets graded — automatically, consistently.

Scorecards are fully customizable — set your own criteria, weights, and auto-fail rules (a single compliance breach can zero out a score, no matter what else went well). KASHEF applies the same scorecard to every call, every time.

Step 5 · Live Monitoring

Supervisors see it all

All of this lands on one screen.

Supervisors get a live view of every call moving through the system — filter by agent or date, search by what was actually said, and open any call to see the full picture.

Total Calls

1,284

This week

Sentiment

Positive 58% Neutral 27% Negative 15%

Risk & Compliance 3 open risk items

Live Monitoring

Call	Agent	Status	Sentiment	Score
#4821	Sara	Completed		63
#4822	Omar	Processing	—	—
#4823	Lina	Completed		88
#4824	Sara	Completed		94

Step 6 · Call Detail

Drill into any call

One click, full context.

Every call has a full report: transcript, AI insights, a sentiment timeline showing exactly where the conversation turned, the scorecard breakdown, and a one-click PDF you can share and archive.

Call #4821 · Sara · 00:42 · Today 10:18

Call TypeComplaint

QA Score63

RiskMedium

ChurnHigh

Sales PotentialMedium

Positive Neutral Negative

Where the conversation turned

Scorecard: Greeting Identity Solution Compliance Closing

AGENT · 00:26

I found the billing error and corrected it — and I can also offer you our loyalty plan with 20% off.

CUSTOMER · 00:35

That actually sounds good. Let's keep the subscription then.

Step 7 · Agent Coaching

Agents get coached, not just graded

It's not just a score — it's feedback agents can use.

KASHEF turns every call into a coaching opportunity — talk/listen ratio, whether the agent let the customer finish, and specific, AI-generated suggestions for what to do differently next time.

Sara Ahmad

Senior Agent · Support Team

88WEEKLY AVG

Talk / Listen ratio38% / 62%

Agent talked Customer talked

Let the customer finish — 0 interruptions this week

AI COACHING SUGGESTION

Great save on the cancellation risk. Next time, confirm the billing correction amount out loud so the customer hears the exact refund — and check your discount authority before waiving fees.

Step 8 · Alerts

Nothing urgent gets missed

The moment something needs attention, someone knows.

Critical issues — compliance violations, high churn risk, anything you define — trigger an alert immediately, or roll up into a digest on your schedule.

Choose an alert frequency

KASHEF · ALERT

Compliance risk detected

Call #4821 — Agent: Sara · Fee waived without approval

Severity: High To: QA Manager

Step 9 · Reports

See the bigger picture

Zoom out from one call to every call.

Reports roll every call up into trends: call volume, sentiment over time, the most common call types, compliance violations, and how agents rank against each other — exportable as PDF or CSV whenever you need them.

Call volumeLast 7 days

Compliance violationsTrend ↓

Agent rankingBy QA score

1Sara92

2Lina87

3Omar81

Export: PDF CSV

Step 10 · Enterprise

Built for the enterprise

Under the hood, it's built to be trusted with real customer data.

Sensitive information — card numbers, ID numbers, anything personal — is automatically redacted before a call is ever processed, not after. Every company's data is fully isolated. Configure users, roles, integrations, and retention rules to match your compliance requirements.

Roles & Permissions

Integrations

Dialect & AI Configuration

PII Redaction

Data Retention Controls

API Access

Card number on the call: 4111 2222 3333 4021 •••• •••• •••• 4021 Redacted before processing

That's every call, automatically understood.

Ingested Transcribed Analyzed Scored Monitored Coached Alerted Reported

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