Actuarial IT Solution RFI

Overview

Data Analytics, AI & Cloud Hosting

Richmond, British Columbia, CanadaPosted 6 days agoDeadline: May 28th, 2026

Fit Score

Settle Intelligence

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SUMMARY

This RFI seeks vendors able to provide an actuarial IT solution leveraging AI/ML, supporting integration with Azure systems, and adaptable to a range of advanced actuarial features.

KEY REQUIREMENTS

Must be a qualified organization capable of delivering an actuarial IT solution
Solution must be capable of generating predictions at claim-level and product-level liability
Solution must be capable of integration with WorkSafeBC’s current information technology solutions
Must submit response using Appendix A – Response Form
Submission must be in Adobe PDF or Microsoft Office (2007 or later) format
Each file must be less than 20MB
Must not submit price proposals (other than high-level cost estimates)
Must not submit information about firm or individual qualifications or experience

BUDGET

Estimate

$150,000 – $500,000

TIMELINE

Closing Time for submissions is May 28th, 2026 at 2:00 PM Pacific Standard Time.

Clarification questions must be submitted in writing at least five business days before the Closing Time.

QUESTION DEADLINE

May 21st, 2026

Issuing Agency

Workers’ Compensation Board (WorkSafeBC)

Organization overview and procurement intelligence available on paid plans.

See Issuer Research

DESCRIPTION

The organization is seeking information from vendors regarding the provision of an actuarial IT solution capable of generating predictions at both the claim and product levels, including liability and other relevant measures. This request aims to assess the market's interest and capability to deliver a system as described in the high-level actuarial system design, with the potential scope to expand in future phases.

Vendors are encouraged to share details about available solutions, their expertise as service providers, and possible approaches for delivery, as well as to describe any additional features such as insurance premium rate pricing, scenario analysis, policyholder classification, experience rating, and aggregate liability calculations. Of particular interest are innovative applications of artificial intelligence and machine learning for advanced modeling and adaptive learning, model governance, and integration with Microsoft Azure-based systems and data platforms.

The solution should support automated data ingestion and transmission of calculated results, demonstrate compatibility with APIs and common data pipeline tools, and provide a transparent outline of cost models including upfront and recurring fees, implementation, service, and ongoing support.

Source attribution

This Settle analysis is based on the issuing organization’s public RFP listing.