From reactive protection to proactive guidance —
an AI layer that sees what customers need before they ask.
The insurance industry was built to respond to what went wrong. Lifolio reframes the relationship — using Intact's existing policy data as a signal layer to detect life events in real time, map legal and financial obligations, and connect customers with the right guidance before they know they need it.
The result is a living portfolio of a customer's life — obligations tracked, professionals on-demand, and uncertainty reduced at the moment it matters most.
Insurance, as the world knows it, is reactive, transactional, and invisible until disaster strikes.
But where is the insurance for the decisions that shape what comes next?
Canada's regulatory architecture — OSFI, FCAC, provincial superintendents — defines the standards and the direction. When volatility strikes, private insurers consistently outperform public relief mechanisms on speed, scope, and recovery depth. In 2024 alone, Canadian insurers processed 250,000+ claims in two months — 50% more than the entire annual average — resolving the majority within weeks. Lifolio doesn't operate against this direction. It extends the private sector's reach within it.
Government sets the regulatory direction — OSFI, FCAC, provincial frameworks. Lifolio follows that direction. Private execution closes the gap.
Insurance resolves uncertainty after the fact — but the uncertainty that shapes a person's financial trajectory happens before any claim is filed. Life events like a home purchase, a marriage, or a job change carry legal and financial obligations that most people navigate blind.
For young adults and first-time earners, the gap is wider. Financial literacy isn't a given, and the systems designed to help — lawyers, advisors, accountants — are priced out of reach at exactly the moments they're needed most.
Lifolio is built on the premise that the best time to offer guidance is before a customer realizes they need it. Intact's existing policy data becomes the signal. The AI layer becomes the interpreter. The professional network becomes the safety net.
The goal isn't to replace insurance — it's to extend the relationship from protection into life planning, rebuilding insurance at the micro level around individual decisions rather than population-level risk models.