The rise of AI is reshaping the HR function. HR leaders now have to own the technology themselves — and orchestrate its deployment across the organization. How do you rise to that challenge? Patrice Poirier, CEO of SIGMA-HR, shares his analysis and his recommendations.
What are the challenges HR faces with the arrival of AI?
AI is set to transform HR processes and free the function from low-value, time-consuming administrative work. That shift lets HR reclaim its strategic role and contribute meaningfully to organizational development.
In that context, HR faces several converging challenges. First, an acculturation and ownership challenge: HR is on the front line, tasked with orchestrating AI deployment at every level of the organization. On top of that, we have ethical questions, bias considerations, and issues of data security and confidentiality — all of which require rigorous framing of the actual use cases.
Read more: AI: The 9 challenges HR must address in 2026
How SIGMA-HR approaches these challenges
We integrate independent AI models, and our clients' data stays confidential — it cannot be used to train the underlying model.
We are also ISO 27001 and SOC 2 Type 2 certified. In parallel, we are exploring different paths to deliver solutions that produce concrete outcomes: time savings and productivity gains in day-to-day HR work, and decision support by making the right data and information easier to reach.
Read more: What AI should NOT do for your HR
Have questions about what our AI can help you do?
Talk to our specialistsWhat makes the SIGMA-HR integrated AI different?
We built the first HRIS that integrates AI end to end. All HR data sits in one place, which lets us:
- Optimize interaction with the HRIS for a more fluid experience.
- Save time and lift productivity by automating specific tasks.
- Reduce the load on HR teams across daily operations, including:
- Pre-filling forms.
- Drafting emails automatically.
- Summarizing files and records.
- Screening résumés and surfacing the right profiles for an open role.
With HR data centralized in the HRIS, AI runs on a reliable foundation and delivers grounded recommendations — while the final decision always stays with HR experts.
Read more: Agentic AI for human resources: what opportunities?
How SIGMA-HR helps clients take ownership of AI
We meet with our clients regularly to discuss market direction and assess their needs — so we can evolve our HRIS and embed AI where it actually creates value in their workflows.
We also give them the resources they need: content, online training, and enablement material so HR can be one of the primary drivers of change management as AI becomes a foundational technology across the organization.
Read more: Innovation, Control and the Rise of AI: A New Challenge for HR
AI and HRIS: the new standard for HR productivity
AI in HRIS is moving to the next level. Beyond basic word processing, generative AI is reshaping HR management — understanding, summarizing, and generating content at scale.
Our white paper walks through how this shift redefines HR practice, transforms productivity, and changes how you work with your data.
Adapted from an interview originally published in ANDRH magazine.
To go further
FAQ
What are the main AI adoption challenges for HR teams?
The core challenges are acculturation and ownership (HR leads the deployment across the organization), ethics and bias, and data security and confidentiality — which requires disciplined framing of every use case.
Is client HR data used to train AI models in SIGMA-HR?
No. SIGMA-HR integrates independent AI models. Client data stays confidential and is not used to train the underlying model.
What certifications back SIGMA-HR data security?
SIGMA-HR is ISO 27001 and SOC 2 Type 2 certified — two of the most demanding international standards for information security management and service organization controls.
What makes an integrated AI HRIS different from standalone AI tools?
An integrated AI HRIS runs on centralized HR data, which lets it deliver grounded recommendations rather than isolated outputs. It automates repetitive work — pre-filling forms, drafting emails, summarizing files, screening résumés — while keeping decision authority with HR.
How can HR teams lead AI change management in their organization?
HR should combine two levers: staying close to vendors and market signals to shape the tools their teams actually use, and building internal enablement (content, training, workshops) so HR itself becomes one of the primary drivers of AI change management across the business.