Manual QA doesn't scale
QA teams listen to 2–5% of calls. The other 95% — including the risky ones — go unheard, unscored, uncoached.
KASHEF transcribes every call, scores it against your QA scorecards, and alerts supervisors the moment it matters — so leadership sees the full picture, not a 3% sample of it.
Built for the region's most regulated contact centers
Most MENA contact centers still quality-check calls by hand. The math never works — and the risk never sleeps.
QA teams listen to 2–5% of calls. The other 95% — including the risky ones — go unheard, unscored, uncoached.
One missed mandatory phrase can mean a fine, a formal complaint, or a regulator's letter — discovered weeks too late.
When reviews take days, feedback corrects last week's behavior — not the call happening right now on the floor.
Five capabilities, one Arabic-first engine. Explore what KASHEF does with every single call.
Auto-fail overrides weighted total — flagged for supervisor review.
Global platforms bolt Arabic on as an afterthought. KASHEF was built from the first line around how your customers actually speak — in the dialect, with the idioms, at real call-center speed.
Jordanian, Gulf, Egyptian and Levantine — trained on real contact-center speech, not news anchors.
Custom term lists for banking, telecom and insurance — so «تسهيلات» and «باقات» score correctly.
National IDs, card numbers and addresses masked in transcripts, exports and dashboards.
SIP, PBX or existing recordings — KASHEF plugs into your telephony stack without replacing any of it.
Arabic speech-to-text, then your scorecards applied automatically. 100% coverage, zero sampling.
Compliance misses and sentiment drops escalate instantly to the right person on the floor.
Dashboards and scheduled reports in Arabic and English, drill-down ready for the board.
Scorecards, alerts and dashboards shaped around each vertical's compliance and CX reality.
Central-bank call-recording compliance, mandatory disclosure tracking, and early signals of mis-selling or fraud — scored on every call, every day.
Regulatory QAHigh-volume scoring that keeps pace with thousands of daily calls, churn-intent detection, and repeat-call driver analysis from transcripts.
Churn & CXClaims-call accuracy, mis-selling risk detection, and policyholder experience scoring across Arabic-dialect conversations.
Claims accuracyArabic-first citizen-service quality with in-region data residency — built for how public-sector lines are actually audited.
Data residencyMulti-client scorecards, per-program dashboards and white-label reporting — one platform across every account you run.
Multi-client| Manual QA | Generic global platforms | KASHEF. | |
|---|---|---|---|
| Call coverage | 2–5% sampled | Varies — often sampled | 100% of every call |
| Arabic dialects | Only as good as the listener | Limited, or MSA-only | Jordanian · Gulf · Egyptian · Levantine |
| Time to insight | Days to weeks | Hours | Seconds to minutes |
| Deployment | — | Months of integration | Weeks, telephony-agnostic |
| Support | — | Global ticket queue | MENA-based team, Arabic & English |
| Data residency | Your in-house systems | Rarely in-region | In-region & on-prem options |
Call recordings are among the most sensitive data an organization holds. KASHEF treats them that way — honestly, with what's live today clearly separated from the roadmap.
Recordings and transcripts hosted in-region, with on-premises deployment options for regulated and government sectors.
Card numbers, national IDs and addresses masked across transcripts, exports and dashboards — automatically.
Role-based permissions with a full audit trail today; SSO/SAML and LDAP on the near-term roadmap.
TLS in transit and AES-256 at rest — across audio, transcripts, scores and exports.
Every administrative action logged, searchable and exportable — built for the auditor's questions.
Alignment with regional regulator expectations in progress; ISO 27001 certification on the roadmap — stated plainly, not promised prematurely.
We publish what is live today versus what is in progress. Enterprise buyers verify claims — we expect them to.
Capability-based tiers. Final quotes are shaped by seats, call volume and deployment model.
Annual contracts · pilot programs for qualifying teams. Every quote starts with a scoping call in Arabic or English.
QA coverage expands from a manual sample to every call; missed mandatory disclosure phrases surface the same day — not in next month's audit.
Churn-intent phrases are clustered across all transcripts, and flagged calls are routed straight to the retention desk while context is fresh.
Citizen-service quality scored natively in Arabic across every line, with supervisor dashboards per service and in-region data residency.
Move the sliders — the impact estimate updates instantly. Then bring the numbers to a demo.
Typical QA teams sample 2–5% of calls and spend 8–15 minutes per manual review. Adjust to match your floor.
Estimates based on your inputs, assuming ~1.5% of calls carry a compliance exposure. Request a demo for an assessment on your actual calls.
Get the full assessmentKASHEF exists because enterprise QA tools were never built for Arabic. We're building the category — transcription, scoring, alerting and coaching — around how the region's customers actually speak, and how its regulators actually audit.
Customer Experience and Contact Center Operations Leader with 18+ years of progressive experience.
Customer Experience and Contact Center Operations Leader with 18+ years of progressive experience across telecommunications, non-profit organizations, and technology-driven environments. Proven track record of leading customer-facing operations, optimizing service delivery, developing high-performing teams, and driving measurable business outcomes through operational excellence, performance management, and customer-centric execution. Experienced in managing contact center operations, customer service functions, workforce performance, quality assurance, process optimization, and digital transformation initiatives. Recognized for delivering sustainable operational improvements, leading organizational change, and translating business objectives into practical execution through data-driven decision-making and strong leadership. Combines expertise in Customer Experience, Service Excellence, KPI Governance, Team Development, and Contact Center Leadership with growing specialization in AI-powered customer intelligence and operational automation solutions.
Full-stack software engineer focused on scalable web, cloud, and AI-powered software solutions.
Eng. Mohammad Ghoqa is a Full-Stack Software Engineer with expertise in designing and developing scalable web applications, cloud-based platforms, and AI-powered software solutions. He has extensive experience across the full software development lifecycle, from system architecture and backend engineering to modern frontend development and deployment.
With a strong foundation in software engineering and a passion for emerging technologies, Mohammad specializes in integrating Artificial Intelligence into business applications, enabling organizations to automate processes, extract actionable insights from data, and deliver intelligent user experiences.
His technical expertise includes full-stack application development, API design and integration, database architecture, cloud deployment, DevOps practices, and AI-driven solution development. He is committed to building secure, high-performance, and maintainable systems that align technology with business objectives.
As a technology leader, Mohammad combines engineering excellence with a problem-solving mindset, continuously exploring innovative approaches to deliver impactful digital products and scalable software platforms.
Tell us about your operation — we'll arrive prepared with a demonstration scored on calls like yours, in Arabic or English.
A real person from the MENA team — not an autoresponder.
Your QA process, telephony stack, and compliance constraints.
Transcription, scorecards, alerts and dashboards — live.