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Accueil » A Position Paper On The Use Of Multiple Company Websites Portals

Insurance Brokers Association of Canada

A Position Paper on the Use of Multiple Company Websites (Portals)

Summary: It is the position of the Insurance Brokers Association of Canada that insurance brokers should not be obligated to use stand-alone Insurer websites (portals).

Brokers work with multiple insurance companies, and when any of those Insurers establishes a stand-alone website, brokers are forced to duplicate their work in order to communicate or retrieve information.

However, serving the consumer is the broker’s primary purpose. Today’s insurance customers expect instant service from a broker—not only professional advice and advocacy, but also access to information as well as price and product comparisons from several carriers. Put simply, this expectation cannot be met effectively if the broker must query multiple websites using as many passwords and workflows as there are carriers. A redundant time-consuming workflow inherently deters good customer service and frustrates the consumer.

In addition to the evident inefficiencies, forcing brokers to access separate Insurer websites magnifies the possibility of errors or omissions, again creating problems and inconvenience for the customer, and possibly even jeopardizing his security.

Interacting with stand-alone websites diverts the broker’s time and resources from providing customer service making it less likely for a broker to be able to offer unique advice-based service which consumers value. The Insurer websites drive brokerage staff to serve the Insurer rather than the customer.

This diversion is further magnified when brokerages must build redundancy in staff training for multiple websites, to avoid service shortfalls if one critical staff member is absent or leaves.

The economics of these inefficiencies could force some independent brokers to the extreme decision of narrowing the range of Insurers with whom they work. The resultant reduced range of choices then offered within the marketplace produces an obvious and immediate disadvantage for the customer.

It is not in the consumer’s best interests, and in the long run, cannot be to the industry’s advantage, to compromise service and efficiency. Stand-alone Insurer websites prevent brokers from providing effective customer service; together brokers and Insurers must find alternative ways to meet today’s consumer expectations.

In place of stand-alone Insurer websites, IBAC recommends that all Insurers and industry software vendors dedicate their efforts to developing tools rooted in the principles of SEMCI – Single Entry Multi-Company Interface. Our industry workflows should contemplate transactions that originate from and return to a broker’s management system, are framed in CSIO standards, and require an absolute minimum of user interaction, in order to deliver maximum efficiency and enable brokers to focus on serving the consumer.

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Aligning with Regulatory Frameworks and Standards

Principles will align with international AI guidelines (e.g., ISO 42001, OECD frameworks) and industry-specific regulations (e.g., RIBO, OSFI, AMF) upheld by stakeholders. Adherence to legal standards will help organizations navigate jurisdictional requirements, promote sustainable practices, and prevent misuse of AI data

Encouraging Responsible Al Innovation

Principles will encourage the broker community to innovate responsibly by developing AI systems that prioritize consumer well-being, inclusivity, and fairness, while also assessing the societal, environmental, and economic impacts of their AI solutions

Promoting Accountability in AI Oversight

AI principles will reinforce accountability across all levels of organizations and third-party collaborators. By defining roles, ensure human oversight in AI processes, this enhances traceability, enables informed decision-making, and embeds mechanisms for ethical redress when errors or adverse outcomes occur

Ensuring Consumer Trust and Fairness

AI governance principles support commitment to transparency, fairness, and accountability. By requiring explainable outcomes and proactive consumer communication, it fosters trust among the broader broker community, their clients, and external stakeholders

Supporting Ethical Standards and Stakeholder Collaboration

By incorporating AI governance principles, broker members can align with its mission of fostering an ethical culture among its stakeholders Address biases, safeguard consumer protection, and promote inclusivity, which will reinforce commitment to ethical AI practices in collaboration with industry stakeholders, regulators, and third-party solution providers

PoC Use Case Overview: Al-Assisted Coverage Discovery & Gap Analysis

Technical Requirements

AI models with context on industry benchmarks and policy structures to interpret existing policy terms, endorsements, and clauses.

Integration with BMS to retrieve client profiles, exposure information, and historical policy data.

Data ingestion and continuous updates to ensure alignment with typical coverage patterns and industry guidance.

Data security and compliance features to protect client information.

Functional Scope

Analyze client-submitted data, including exposures, business context, and other relevant information.

Extract and interpret existing policy terms (e.g., endorsements, exclusions, clauses).

Benchmark against typical coverage patterns and industry guidance to identify coverage gaps.

Prioritize identified coverage gaps and provide rationale based on considerations such as industry standards and risk.

Recommend relevant products and coverage options tailored to the client profile, and generate summaries for client discussions.

AI-Powered Client Onboarding & Data Intake – Overview:
Proof of Concept (PoC) Use Case

Technical Requirements

BMS Integration: Integration with BMS for secure data capture and storage.

Applied ARS Integration: Integration with Applied ARS to enable automated quote generation.

Dedicated Parsers for Renewal: Document parsing capability for 5–6 carrier renewal documents with high accuracy.

Extensibility Framework: Modular architecture to support future enhancements and additional automation.

Functional Scope

AI Chatbot for Client Onboarding: Collect client information, answer onboarding questions, and guide users through the onboarding process.

Data Collection & Storage: Capture and store collected data directly in the broker’s BMS.

Document Processing: Enable clients to upload renewal documents and extract key data to accelerate the onboarding process.

Quotes Generation: Generate quotes based on collected information.