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Automated QA scoring

Score 100% of your calls automatically — not just a 2% manual sample.

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When you need this

  • Your QA team can only review a tiny sample of calls, so most interactions go unchecked.
  • Manual scoring is slow, subjective, and inconsistent between reviewers.
  • You need to catch compliance issues, coaching opportunities, or churn risk across all calls.
  • You're scaling the contact center and manual QA can't keep up.

What you get

We build systems that transcribe and evaluate every customer call against your quality scorecard automatically, so you get objective, consistent QA at full coverage instead of manual spot-checks.

  • Automatic transcription and scoring of every call against your own checklist.
  • Dashboards showing scores, trends, and flagged calls by agent, team, and topic.
  • Objective, consistent criteria applied to 100% of interactions.
  • Alerts for compliance breaches and coaching opportunities.
  • Multilingual support, including Arabic.

How we do it

1
Define the scorecard

We translate your existing QA criteria into measurable, automatable checks.

2
Transcribe

We set up accurate speech-to-text for your languages and call conditions.

3
Build the scoring models

We build models that evaluate each call against the scorecard and explain their scores.

4
Integrate

We connect to your telephony or recording system and surface results in a dashboard.

5
Calibrate

We align automated scores with your QA team's judgment until you trust them.

6
Monitor & improve

We refine criteria as your standards and product evolve.

Business outcomes

  • Move from a sampled few percent to 100% of calls reviewed.
  • Consistent, objective scoring that removes reviewer bias.
  • Faster coaching and earlier detection of compliance and churn risks.

Why Intellectual Systems

  • Solutions that integrate with your existing tools and workflows.
  • Multilingual delivery, including Modern Standard Arabic and regional dialects.
  • GDPR-aligned by default, adaptable to your specific compliance needs.
  • Long-term support and iteration after launch.
Related case study AI Call Evaluation We built an AI call-evaluation system that scores operator calls automatically — see the project. Read the case →

FAQ

Can it use our existing scorecard?
Yes — we automate your current QA criteria rather than imposing a generic template.
What languages does it handle?
Multiple languages, including Modern Standard Arabic and regional dialects.
How accurate is the scoring?
We calibrate against your QA team until automated scores match human judgment, and every score is explainable.
Does it integrate with our telephony?
Yes — we connect to your recording or telephony platform and your existing dashboards or BI tools.
Is call data kept secure?
Yes. We follow GDPR principles by default and keep data within your approved environment.

Related solutions

Call analytics Automatic transcription of every call plus a dashboard of topics, sentiment, and trends. Real-time agent assist Live answers and next-best actions surfaced to operators during the call. Knowledge-base RAG chatbot Answers customers and staff from your own documents, policies, and product data — with sources.
Interested? Let's build this for your business
Tell us what you're looking to achieve and we'll suggest the most effective solution tailored to your timeline and budget.



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Or contact us by email, phone or through social media: