CanadaPublic sector2018 – ongoingImmigration, Refugees and Citizenship Canada (IRCC)
Advanced analytics triage of overseas temporary resident visa applications
IRCC says analytics helped process over 1 million visa applications since 2018; routine eligibility assessments can be 87% faster.
Problem
IRCC receives large numbers of visa applications from abroad, and most are straightforward but still take officer time.
Approach
Since 2018 an analytics model has flagged routine applications, such as from people approved to visit within the past 10 years, for streamlined processing. It also sorts harder files for officers by complexity. In January 2022 IRCC said it covers all temporary resident visa applications from outside Canada.
Results
Takeaway
IRCC says the system never refuses an application and that only an officer can.
Categories
- Size
- Large enterprise
- Industry
- Public sector
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
IRCC says analytics sorts overseas visa applications while officers keep the final decision. It reports that routine eligibility assessments can be 87% faster and that the system has helped process over 1 million applications since 2018.
The Canadian government published an algorithmic impact assessment and a 2018 peer review by the National Research Council Canada. The government provided no outcome figures with these publications.
Full details are in the original sources.
