Train
Training
Hands-on courses: test automation with Playwright, using AI in insurance roles, QA in the age of agents.
- In-house or open sessions
- Remote or on-site
- Exercises based on your use cases
Software quality × AI
Adopt AIwithout giving upon reliability.
Training, coaching and consulting for tech teams and insurance professionals who want to move faster with AI while staying in control of what goes to production.
pipeline · main · #481running- lint & types
- unit tests · 312
- API contracts
- e2e · playwright · 86
- QA review of agent-written code
PlaywrightCypressSeleniumPostmank6GatlingGitHub ActionsGitLab CIJenkinsDockern8nClaudeClaude CodeGherkinOpenAPIOWASP ZAPPlaywrightCypressSeleniumPostmank6GatlingGitHub ActionsGitLab CIJenkinsDockern8nClaudeClaude CodeGherkinOpenAPIOWASP ZAP
15%
of acceptance-test defects caught before production, thanks to a redesigned continuous integration setup.
QA × AI
Two areas of expertise: testing and automation on one side, applied AI and agents on the other.
Insurance
First-hand knowledge of the industry's jobs, constraints and vocabulary.
Services
What I offer
Train your teams, support them through implementation, or help you make a decision.
Support
Coaching
I work alongside your teams over time to set up a modern quality foundation or AI workflows that hold up in production.
- Scoping and roadmap
- Implementation with your teams
- Knowledge transfer
Advise
Consulting
An outside view to help you decide: audit of your quality chain, choosing and benchmarking AI models, scoping a decision-support project.
- Quality & AI audit
- Model benchmarking
- Prioritised recommendations
Expertise
Where quality meets AI
The four areas I work on.
Modern QA and continuous integration
A scalable technical foundation, tests at the right level, and a CI that blocks regressions before acceptance testing.
QA for agentic development
Agents write code. QA skills built into the development cycle frame their work and make the output verifiable.
AI workflow automation
Identify the repetitive tasks worth automating, automate them with tools your teams can maintain, then track the time saved.
AI for decision-making
Decision-support systems and model benchmarks, evaluated on your own data and against your quality criteria.
Approach
How an engagement works
- 1
Assess
I start from what exists: your tools, your practices and the issues that keep coming back in testing or production.
- 2
Scope
Together we set measurable goals, scope and risks, including what is better left unautomated.
- 3
Build
I implement solutions with your teams in short iterations, to get first results quickly.
- 4
Hand over
Documentation, training and team routines, so your teams can carry on without me.
Training
Available courses
For companies and training organisations. Detailed syllabus on request.
Playwright: from zero to CI/CD automation
Write robust end-to-end tests, structure a maintainable suite, and integrate it into a pipeline. For testers, QA engineers and developers.
Request the syllabus →Everyday AI in an insurance agency
What AI does well, what not to delegate to it, and how to use it within the industry's constraints. For agents, brokers and staff.
Request the syllabus →About
Mohamed Ben Belgacem
A software quality specialist, I have built testing and continuous integration foundations in IT services, then in insurance. Today I mostly work on generative AI and coding agents, and on how to bring them into a quality approach.
I founded Qaliance because teams adopt AI faster than they can verify its output. I help them put in place the methods and tools that make this control possible.
Based in Rouen, France. I work across France and the French- and Arabic-speaking world.
Certifications
- ISTQB (CFTL)
- PRINCE2 Practitioner
- DevOps Foundation
- Claude Code 101 (Anthropic)
- Building Effective Human-Agent Teams (Anthropic)
- AI Fluency (Anthropic)
Contact
Let's talk about your project
A training need, a team to support, a decision to make? Describe your needs in a few lines.