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Home » Insurance Brokers Association of Canada VENDOR JOINT MARKETING BROKERCORE

JANUARY 2023

In Canada, the Property & Casualty (P&C) insurance industry lags other industries on connectivity within the broker channel. As a result, brokers struggle with process friction and duplication of effort (double entry), resulting in unnecessary expense and a less than ideal client experience.

Brokers use their own systems to manage their clients and carriers use theirs. Initial data entry is done by the broker into their BMS and then re-keyed (by the broker) into the carrier portal.

This approach requires double entry by the broker and introduces delays and data quality issues, which in turn require manual intervention and negatively impacts the end client experience.

While most other industries have made great headway in real-time data sharing and transmission along the steps in the value chain, real-time data connectivity remains in its infancy in the P&C industry. 

However, there is progress being made. Brokercore has recently introduced some exciting new features, including:

  • Agnostic Rating
    • Brokercore was an early adopter & invested in using the standards developed with the CSIO Commercial Lines project. As an interim / transition step, Brokercore has embarked on a solution that allows brokers to connect and provide rating through alternative means, while preserving the ability to migrate standardized APIs when available. These alternatives include manufactured rates, drag & drop Excel raters, and sophisticated plugin offerings. These allow traditional and delegated authority brokers the ability to embrace technology now, and easily transition to full APIs when available.
  • Non-Rating API Connectivity
    • APIs have become more prevalent outside of rating, Brokercore has applied this technique in other ways, including the ability to lookup real-time data from 3rd parties. Real time validated data reduces effort, improves data accuracy, and reduces E&O.
  • SSO & Data Payloads
    • Sometimes connectivity through APIs isn’t the answer, or the technology is too difficult to implement today. Brokercore has implemented the ability to for sizable amounts of client data to be sent, or received, via the click of a button. Using Single Sign-On style tokens, we allow trusted users to be automatically authenticated while passing a payload of data to pre-populate a form, start a workflow or any number of other tasks. This alternative approach to connectivity minimizes double data entry and improves data accuracy.

Real-time connectivity will not arrive in the broker channel all at once – the progress will be incremental. We encourage brokers to discover the enhancements that their vendor partners have already implemented and to make use of them.

We also encourage carriers and vendors to continue to make investments in real-time connectivity. Given that there are benefits to customers, brokers, and carriers, it only makes sense to push this as hard and fast as possible.

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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.