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AI in Insurance: New Regulatory Expectations and Practical Implications for the Chambre de l’assurance Members

Publication date: August 20, 2026

On April 7, the Autorité des marchés financiers (the Autorité) published its “Guideline for the Use of Artificial Intelligence” (AI), which will take effect on May 1, 2027. Its purpose is to better regulate the growing use of artificial intelligence systems (AIS) in the financial sector, particularly to reduce risks and ensure fair treatment of clients. Although the Guideline is primarily intended for financial institutions, its impact will extend directly to insurance firms, many of which already use, or will soon use, AI tools in their day-to-day operations.

The Guideline applies to all uses of AIS by financial institutions and insurance firms, whether or not such use relates to the processing of client files. 

While individual members of the Chambre (brokers, agents, claims adjusters, financial security advisors, and financial planners) are not specifically targeted by the Guideline as individuals, they are at the centre of certain expectations. Why? Because insurers and firms with whom they are affiliated will need to review their processes, tools, and internal policies to comply with the new expectations. These changes will have practical implications for the tools members use, the decisions communicated to them, and the way they explain those decisions to clients.

What This Means in Practice for Members

The Autorité confirms a clear trend: any use of AI must now be regulated, explainable, and focused on the fair treatment of clients. This includes indirect uses such as sales support tools, comparison platforms, and recommendation systems. 

For the members of the Chambre, it is no longer enough simply to use a technological tool. Professionals must also understand how it works, its limitations, the risks associated with it, and its potential impacts. 

Below are three key elements of the Guideline that you need to know and that impact your work. 

1. A Designated Officer Within the Institution or Insurance Firm

Each insurance firm or insurer must appoint a member of senior management was the officer responsible for all AI systems used within the organization. This means that decisions involving AI, including those affecting client files, must be tracked, justified, and overseen at a senior level within the institution. 

For representatives, this may result in stricter internal policies governing the use of AI systems, particularly when AI is involved in decisions or recommendations relating to a client’s file. Additionally, the representatives must know who the designated AI officer is within their organization so they can consult that person when questions arise regarding the use of AI systems.

2. Risk Management: An Inventory of AI Systems

The Guideline requires financial institutions to maintain a centralized inventory of all AI systems and assign each one a risk rating to be reviewed periodically. The higher the risk associated with a system, the stricter the controls and oversight must be.

As a result, analytical tools provided to insurance or financial planning professionals will be subject to increased and documented monitoring. Professionals must understand the risks associated with these tools, their operational and usage limitations, and the mitigation measures that apply in order to use them properly.

3. Strengthened Transparency Obligations Toward Clients

The Guideline emphasizes several key principles that directly affect the relationship between representatives and clients:

  • Clients must be informed when they are interacting with an AI system. 
  • Clients must be able to request human intervention during a transaction when needed. Organizations must therefore provide appropriate mechanisms to ensure a person can intervene in a timely manner when requested.
  • Any content generated with the assistance of an AI system must include a disclosure indicating that AI was used.
  • Any decision made by, or recommendation generated by, an AI system concerning a client must be explainable in clear and simple language. 
  • Representatives must validate AI-generated results and ensure that AI tools do not create discriminatory outcomes or biases affecting clients. 

This is perhaps the most practical aspect of the Guideline for representatives, who are often the first point of contact when it comes to conveying information to clients. Representatives become a vital link in ensuring the transparency required by the Guideline. Understanding how an AI system operates, being able to explain its general logic without technical jargon, and directing clients to the appropriate resources in the event of a disagreement: this is what this new context requires of you.  

Day-to-Day Examples

Here are a few specific examples that illustrate the Authority’s expectations:

1. Pricing and Underwriting Tools

An insurer may use an AI model to recommend a premium based on a client’s profile. However, models can contain unintended biases (e.g., variables indirectly linked to income or place of residence (by postal code)).

In this context, brokers, agents, and financial security advisors must be able to explain why a premium varies and ensure that recommendations remain fair and justifiable. 

2. Customer Service Chatbots

An increasing number of insurers use conversational AI to interact with clients. However, these tools can sometimes provide inaccurate or incomplete information, (e.g., misinterpretation of a policy provision). 

Representatives must always verify important information before relying on it or communicating it to clients, especially when it comes to coverage or claims. 

3. Automatically Generated Content (Emails, Summaries, Recommendations)

Generative AI tools can draft explanations of coverage or product recommendations. However, they may also generate responses that seem plausible but are incorrect, commonly referred to as “hallucinations.” 

In these situations, the professional remains personally responsible for all AI-generated communications and must review them before sending, while ensuring they are clear and understandable for clients. 

4. Automated Client Needs Analysis

Some tools analyze client data to recommend suitable protections. If the data is incomplete or biased, the resulting recommendation, while appearing reasonable, may be incorrect or ill-advised.

Representatives using this sophisticated type of AI system remain responsible for the quality of the analysis and must verify that any recommended product genuinely meets the client’s needs.

5. Automated Decision-Making

In some cases, an AI system may recommend or influence a decision(e.g., accepting or rejecting a risk). The Autorité now requires such decisions to be explainable and subject to human oversight or authorization. 

In this situation, representatives must be able to intervene at any time and exercise their professional judgment rather than simply follow a technological recommendation generated by an AI system. 

For more information about your professional and ethical obligations regarding the use of AI, please refer to the guide produced by the Chambre de l’assurance..

 

The Professional’s Role

This Guideline confirms an ongoing evolution in the role of representatives and the firms with which they are affiliated. AI should be viewed primarily as a tool to support professionals, but h man judgment must remain at the core of the relationship with the client.

In this context, professionals will increasingly act as: 

  • Interpreters of AI-generated outputs.
  • Guardians of the quality and fairness of decisions and recommendations generated by AI systems.
  • Protectors of clients in the face technological limitations. 

Consistent with its mission, the Autorité’s regulatory framework for AI is not intended to slow innovation, but rather to ensure that it benefits the clients. For insurance professionals and firms, this means developing a stronger understanding of the tools they use and strengthening professional practices. As 2027 approaches, understanding the AI systems used within your organization, as well as their limitations, will become a key professional competency. 

What You Can Do Now

Here are some concrete steps to consider between now and the guideline’s effective date on May 1, 2027:

  • Review the tip sheet and guide developed by the Chambre de l’assurance and available on its website. Consider completing the compliance training course “Utiliser l’IA : vers une pratique responsible” availabe in French (here for professionals in damage insurance and here for life and health insurance professionals). 
  • Speak with your employer and partner insurers. Ask which AI systems are currently being used and what plans are in place to comply with the Guideline. 
  • Develop a clear understanding of the environment in which you operate. This is a critical first step. 
  • Review how you communicate with clients. If an automated tool contributed to a decision, can you explain it in simple terms? Anticipating these conversations strengthens both your advisory role and builds your client’s trust. 
  • Include digital literacy in your continuing education activities. The Chambre de l’assurance offers a training activity on artificial intelligence. 
  • Document your practices. When AI-assisted decisions or recommendations are involved, maintaining proper records becomes an important professional best practice. 

11 Key Takeaways

1. Effective Date: The Autorité’s AI Guideline was published on April 7, 2026, and will come into force on May 1, 2027.

2. Broad Scope: The Guideline applies to all uses of AI systems by institutions, whether or not such use involves the processing of client files.

3. Main Objective: To rigorously manage AI-related risks and ensure the fair treatment of clients.

4. Responsibility of the Board of Directors: Boards of directors of institutions must, in particular, promote a culture of responsible AI use and possess sufficient expertise to understand AI-related risks.

5. Role of Senior Management: Senior management must, in particular, establish robust AI governance and designate an accountable officer responsible for all AI systems.

6. Structured Risk Management: Institutions must maintain a centralized inventory of AI systems, including risk ratings to tailor controls and oversight accordingly.

7. AI System Classification: Obligation de maintenir un inventaire centralisé des systèmes d’IA utilisés par l’institution avec une cote de risque, établie pour ajuster les contrôles et la surveillance.

8. Lifecycle Approach: Expectations apply across the entire lifecycle of AI systems (selection, data, development, validation, approval, deployment, monitoring), with controls proportional to the risk.

9. Key Technical Requirements: Emphasis is placed on data quality, explainability, bias management, cybersecurity, and risks associated with AI use, such as hallucinations and discrimination.

10. Client Protection: Enhanced obligations apply when AI interacts with clients. Transparency regarding AI use + the possibility of human intervention + clear explanations of recommendations and decisions + identification and correction of biases.

11. Ethics and Transparency: Institutions must, in particular, integrate responsible AI use into their codes of ethics, disclose AI-generated content, and ensure that communications are appropriate and understandable.

This article was translated with the assistance of AI and carefully reviewed by human editors.