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Agency Universe Study 2020 – ACT Technology Results Summary

Future One is a cooperative effort of the Independent Insurance Agents & Brokers of America (IIABA) and independent agency companies. It sponsors a variety of programs to enhance the independent agency system and agency-carrier relationships, both legislatively and in the business environment. One of Future One’s major efforts has been the Agency Universe Study (AUS), […]

Organic SEO Is Evolving—and So Should Your Strategy

  Organic SEO Is Evolving—and So Should Your Strategy In March 2025, SEO software giant Ahrefs analyzed over 300,000 keywords. They uncovered a troubling trend—when Google’s AI Overviews appear in search results, the click-through rate (CTR) for the top organic result drops by a staggering 34.5%. That’s not a slight dip. It’s a shift in […]

SECURITY AUTHENTICATION FOR BROKER-INSURER DATA EXCHANGE NATIONAL POSITION PAPER

Brokers and Insurers can deliver information to one another far more efficiently using electronic means than by traditional methods. The business purposes behind these exchanges, however, and the roles of the correspondents, have never changed; the distinct roles and separate responsibilities of broker and underwriter still persist. It follows, then, that the rules and security […]

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 […]

A BROKER‘S RESOURCE GUIDE TO CHATBOTS

AN AGENT‘S RESOURCE GUIDE TO CHATBOTS Increasingly, business and personal communications occur electronically with information conveyed through the internet via a myriad of wireless and mobile devices. Public expectations and assumptions regarding accessibility and speed have shifted and continue to evolve. Businesses seeking to communicate with customers must keep pace with the changes, and be […]

Position Paper: eSignatures (Electronic Signatures) January 2014

Use of Electronic Signatures for Insurance Transactions Traditionally, your personal signature on a piece of paper was sufficient to execute just about any type of document regardless of what it was and where you were physically signing it. This practice often took place in the presence of another individual who was able to witness your […]

IBAC White Paper for Brokers on Customer Facing Eng

Whitepaper: on Consumer-facing Technology September 2012 IBAC INSURANCE BROKERS AS SOCIATION OF CANADA   Introduction Increasingly, business and personal communications occur electronically with information conveyed through the internet via a myriad of wireless and mobile devices. Public expectations and assumptions regarding accessibility and speed have shifted and continue to evolve. Businesses seeking to communicate with […]

Glossary of Technology Terms

Whitepaper: on Consumer-facing Technology September 2012 IBAC So you think you’re a Data-Driven Marketing Explaining 50+ terms you should know   50+ terms you should know It’s getting harder and harder to keep track of every new platform and acronym in the modern marketer’s arsenal. So here’s a list of the core terms and technologies […]

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.