Intact: AI efforts
Intact Financial, Canada's largest P&C insurer, is one of the industry's most advanced — and most transparent — AI users, anchored by its Montreal Intact Lab and 500+ data and AI specialists. By Q1 2026 it reported AI generating roughly CAD 220 million in recurring annual benefits. Part of InsureBench's overview of AI in insurance; every figure is sourced.
Where Intact ranks on AI
Intact ranked #4 in the 2025 inaugural Evident AI Index and remains a top-tier leader in the 2026 edition (out of the top 5, still in the top 10), one of the only insurers to disclose firmwide AI value.6 It runs 500+ proprietary models in production across pricing, underwriting, claims, fraud and service.2
CEO Charles Brindamour has framed AI and data as roughly a third of Intact's return-on-equity outperformance, declaring the ambition to be "the best AI insurance shop in the world."2
global insurers
The AI build-out
A decade of building and owning AI in-house, from the Intact Lab to firmwide value.
Intact Lab launches
Intact opens its Montreal "centre for digital excellence," later its AI engine.1
Call Quality on AWS
An Amazon Transcribe platform audits up to 20,000 calls/day, 15x faster, cutting handle time ~10%.5
"Best AI insurance shop"
Brindamour reports 500+ models in production and $150M+ of run-rate underwriting profit from AI.2
Investor Day
Intact details 500+ data/AI specialists, 200 AI apps since 2018, and a CAD500M+ benefit target.1
Evident AI Index (2025)
Intact ranks #4 in the inaugural index, one of few to disclose firmwide AI value.6
~CAD220M AI benefits
Recurring AI benefits reach ~CAD220M, on track to exceed the CAD500M target.3
Inside the programme
A build-and-own philosophy: proprietary models, an in-house lab, and disciplined governance.
Intact Lab
Intact's Montreal centre for data science, engineering and AI, building and owning models in-house.1
Proprietary models
Over 500 models in production across pricing, underwriting, claims, fraud and customer service.2
Call Quality (AWS)
An Amazon Transcribe platform audits up to 20,000 calls a day, 15x faster, with a 65% auditor-efficiency gain.5
Data & AI principles
Five governance principles, an Ethical AI & Model Governance group, gen-AI guardrails, and AI named a formal risk factor.4
"We aim to be the best AI insurance shop in the world."
Charles Brindamour, CEO, Intact Financial — Feb 20252Build it, own it, govern it
Intact's instinct is to build and own its AI internally — no named foundation-model partnership, AWS as its main cloud — so it controls its data and models. It pairs that with five Data & AI governance principles and mandatory human-in-the-loop on claims summaries.
Disclosing a hard firmwide AI return, and a governance line around it, is the discipline an insurance AI benchmark reinforces.
- 5 principles — security, society, data quality, excellence, accountability
- Ethical AI & Model Governance Working Group + gen-AI guardrails
- Human-in-the-loop on claims summarisation
- "AI risk" listed as a formal enumerated risk factor
Why this matters for benchmarking
Intact runs ML under most of its underwriting and pricing and is automating claims and fraud. The more decisions models drive, the more it matters whether they're right — which is what InsureBench measures. See the methodology.
Sources
- Intact — Investor Day 2025 deck (500+ specialists; 200 AI apps since 2018). intactfc.com
- Investing.com — Intact Q4 2024 earnings call (500+ models; 'best AI shop'). investing.com
- Investing.com — Intact Q1 2026 earnings call (~CAD220M AI benefits). investing.com
- Intact — 2024 Social Impact & ESG Report (AI in pricing; governance). intactfc.com
- AWS — Intact Call Quality platform case study (20,000 calls/day). aws.amazon.com
- Risk & Insurance — Evident AI maturity rankings (Intact #4 in 2025). riskandinsurance.com