IT Quality & Process Specialist
M1820
Future work distribution
Human only
Collaboration
AI only
This chart shows how the job's tasks split between humans and AI. "AI only" means a task AI can handle without a human — not a job removed: the role recomposes and the human refocuses on judgment, relationships and oversight.
AI Position of the Job
AI Impact on this job
You perform a role that remains minimally exposed to AI, because leadership, decision‑making and relationships with teams require your judgment. AI takes on repetitive and analytical tasks, while still requiring your supervision and methodological adjustments.
Your role remains minimally exposed, with AI handling repetitive checks while you retain oversight and strategic decisions.
What will change
- Verifying that software and systems comply with specified requirements, as AI can automate the comparison between specifications and deliverables, run tests and analyze traces to detect discrepancies.
- Identifying quality issues and proposing process improvements, with AI detecting recurring patterns from logs, test results and metrics to generate actionable recommendations.
- Conducting internal audits and preparing teams for external audits, AI automatically collecting evidence, checking checklists and generating reports to accelerate compliance.
What AI will improve
- Defining and implementing methods and standards, with AI providing templates, standardization options and simulations that you adapt to the operational context.
- Prioritizing quality actions, AI synthesizing incidents and impact estimates, enabling you to focus efforts on the most critical topics.
- Training and preparing teams for audits, AI generating educational materials, test cases and audit scenarios, while you provide support, interpretation and final validation.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For IT Quality & Process Specialist, AI can already do 28% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Master AI tools (LLMs and specialized tools) to automate controls, audits, and reporting (e.g., automatic test plan generation, use of SAST tools)
- Strengthen skills in data governance, security, and quality risk management
- Develop orchestration and project management skills for quality initiatives, using AI as an operational partner
3-year outlook
In three years, AI will have taken over more controls and analyses, making roles more strategic: you will act more as an orchestrator and interpreter of results. The risk for teams is significant role recomposition and increased pressure to demonstrate distinct human value beyond repetitive tasks.
AI tools used in this profession
Solutions deployed in production by professionals in this field
A general LLM assistant is already within reach
Before any specialized software, a latest-generation LLM assistant (Claude, ChatGPT, Mistral Le Chat, Gemini…) is available for this profession. Versatile, it helps draft, summarize, translate, structure or explore ideas. We treat it as a common baseline shared by almost every profession, distinct from specialized tools.
Understand this baselineWhich roles in your company will AI transform?
Move from individual diagnosis to a company-wide HR view: exposure by role, by team and by horizon.
Tasks most exposed to AI alone
6Tasks most augmented by AI
6Your role isn't an average.
You've just seen the typical occupation. Your seniority, your tools and your team size change everything — unlock your personalized version in 2 minutes.
Frequently Asked Questions
You may wonder whether this role will disappear with AI. AI is transforming routine tasks, but it particularly strengthens the need for your expertise to define frameworks, drive quality, and ensure compliance. Your value lies in your ability to interpret results, orchestrate processes, and guide teams toward data-driven decisions.
The number of team members will depend on the organization's size and automation level, but your role will remain central. You will often work cross-functionally with developers, Data Scientists, and security teams to frame usage, drive quality, and mitigate risks. Your ability to design control frameworks and ensure traceability will determine staffing needs.
To stay relevant, focus on upskilling and specialization in IT methods and quality. Strengthen your skills in test automation, data governance, and risk management. Consider certifications and cross-functional projects that demonstrate your ability to drive continuous improvement.