KHALED YOUSEF
QUALITY × INTELLIGENCE

SERVICES / AI QA CONSULTING EU · GCC · REMOTE

AI quality, end to end.

I help teams test their AI products, and use AI to test everything else. Strategy, testing, and automation, in English and Arabic.

COVERS
LLMs & chatbotsAI agentsML modelsTest automationAI governance
Read a case study Book a call

01 / WHAT I DO

Three ways
I can help.

Test your AI

Make sure chatbots, agents, and models behave correctly before customers rely on them.

  • Accuracy and hallucination testing on your own data
  • Arabic and English consistency, including dialects
  • Safety, bias, prompt-injection, and data-leakage checks
  • Agent and workflow testing, end to end

Test with AI

Use AI to make your existing QA faster, broader, and cheaper to maintain.

  • Test cases generated from requirements and user stories
  • AI-assisted UI and API automation
  • Smarter regression selection and flaky-test triage
  • Rollout and training for your QA team

Ship AI with confidence

Put the process around AI quality so it holds up release after release.

  • AI test strategy and quality metrics
  • Release gates and regression suites in CI
  • Monitoring and incident playbooks for AI features
  • Audit-ready evidence for SDAIA guidance or the EU AI Act

02 / HOW IT WORKS

Assess. Build.
Hand it over.

WEEK 0

Assess.

Review your AI features, current QA process, and risks. Agree on what “good enough to ship” means.

WEEKS 1–2

Build.

Create the test sets, automation, and quality checks that fit your stack and your team.

HANDOVER

Own it.

Wire everything into CI, document it, and train your team to run and extend it themselves.

03 / WHAT YOU GET

A clear answer to
“can we ship it?”

Every engagement ends with a release-readiness report: each quality area scored against a threshold you agree on up front, the worst failures with steps to reproduce, and a prioritised fix list. The numbers here show the format only. They are not client data.

QUALITY AREASCORE / THRESHOLD 0.75
Answer accuracy0.91
Hallucination resistance0.72
Arabic / English consistency0.64
Safety & misuse resistance0.58
Agent task success0.83
Regression vs. last release0.95

ILLUSTRATIVE FORMAT · NOT CLIENT DATA

04 / ENGAGEMENTS

Start small.
Scale if it helps.

30 MIN / FREE

Readiness Review

A focused look at one AI feature or QA workflow. You get a written list of quality and risk gaps.

Request a review
2 WEEKS / FIXED PRICE

AI Quality Sprint

One AI feature tested end to end, or one QA workflow rebuilt with AI. Report, test suite, and CI setup included.

Book a sprint
MONTHLY

Fractional AI QA Lead

Ongoing quality ownership: strategy, new tests as your product changes, release sign-off, and team coaching.

Discuss a retainer

05 / WHO IT’S FOR

01

AI startups

Chatbots, voice agents, and AI-native products where one confident wrong answer costs a customer.

02

Fintech & banking

Assistants and models that must never invent fees or rules, and must never leak data.

03

Teams adding AI

Product and QA teams shipping their first AI features without a way to test them yet.

04

Integrators & agencies

Delivery teams that need a specialist to prove an AI system works before handover.

06 / QUESTIONS

Do you work remotely?

Yes. I am based in Austria (CET), two to three hours behind the Gulf, so working hours overlap well.

We don’t have a QA team for AI. Is that a problem?

No. That is the most common starting point. I set up the process and tooling, then train whoever owns quality on your side.

What about our data?

I sign an NDA before scoping, and all testing can run inside your own environment and accounts.

Which tools and models?

Any model, API, or UI, from OpenAI or Anthropic to open-weight and Arabic-first models. I build on the test tools and CI you already use.

QA LEAD @ TEAMVIEWER · AI MSc @ JKU

Let’s make your AI trustworthy.