Software for Canadian MGAs
Your brokers send documents. Your capacity providers expect clean data back. SortSpoke sits between the two.
A managing general agent in Canada carries a burden a carrier does not: you underwrite on someone else's paper. The binding authority your capacity providers grant you comes with an obligation to show how you used it — accurately, on time, and in a form they can audit.
That obligation starts with the submission. SortSpoke extracts structured data from the documents your brokers actually send — completed CSIO applications, ACORD forms, loss runs, statements of values, and the broker-specific forms that match no standard at all.
A carrier answers to its regulator. An MGA answers to its regulator and to every capacity provider whose pen it holds — and increasingly those two audiences ask the same question in different words: can you show us how this risk was assessed, on what data, reviewed by whom?
When submission data is rekeyed by hand from a broker's PDF, the honest answer is a spreadsheet and a hope. The data your underwriters worked from and the data in your bordereau are assembled twice, by different people, from the same document.
Hiring and training new underwriters takes time and resources many carriers don’t have.
Loss runs arrive in wildly different formats — PDFs, scans, spreadsheets — making automation difficult.
Most AI tools break down when faced with inconsistent or unstructured loss run data.
Outsourcing is expensive, slow, and often introduces errors — especially for complex loss runs.
Extract claim, carrier, and loss details from even the messiest formats.
Automate intake from PDFs, scanned documents, and email attachments.
Prioritize quotes using structured, triaged loss data — with no manual rekeying.
Maintain full control and auditability with transparent, human-in-the-loop AI.
One extraction, reviewed once, used everywhere downstream.
Canadian broker-carrier exchange runs on CSIO data standards and CSIO eDocs, while commercial lines still moves a great deal of ACORD paper. A Canadian MGA works in both, plus whatever its distribution partners have built for themselves.
Handled: completed CSIO applications including provincial automobile applications · CSIO eDocs · ACORD forms · loss runs from any prior carrier · statements of values and schedules in CAD · broker-specific supplementals · email submissions with mixed and scanned attachments
Provincial reality: the public-auto provinces — British Columbia, Saskatchewan, Manitoba and Quebec — change what a submission looks like, and Ontario and Alberta each carry their own form conventions.
Underwriters can quickly and accurately extract data in a fraction of the time with 100% accuracy without the need for manual work, speeding up processes and reducing time spent on tedious work.
Not all submissions are created equal. Your team can customize triage rules and leverage intelligent prioritization to focus on the right risks that are most desired to bind.
Underwriters can efficiently extract data with a system that’s easy to use and ensures every piece of data is traceable—without ever compromising on accuracy, even for the most complex submissions.
Process loss run submissions 5X faster.
Combine AI speed with human-in-the-loop precision to ensure 100% accuracy.
Live in 30 minutes. Go from sign-up to structured data extraction in under half an hour.
At SortSpoke, we understand that document processing in insurance and financial services demands the highest levels of security and compliance. Your sensitive data never leaves your control.
Our Security Foundation:
SOC 2 Type II compliant infrastructure built on AWS
Role-based access controls
Comprehensive audit logging and monitoring
We will talk about one program, not your whole book.
Pick a time that fits your schedule.
Upload your messiest loss runs to SortSpoke
Watch us extract data from your files in real-time.
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BOOK A DEMO
After submitting, you'll choose your preferred date and time. Bring a real broker submission — a completed CSIO application or a messy email with attachments — and we'll run it.
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