Manual workflows caused duplicate policies and bottlenecked rollouts. Now, ML processes forms and insurers launch new products in one day.
An industry association representing the Kenyan insurance sector, operating in a market where a lack of centralized systems for purchasing policies, issuing certificates, or reporting claims hindered growth.
Outdated manual processes left insurers highly vulnerable to fraud, including the double issuance of certificates across motor, life, marine, and...
“Kenya's Motor Insurance industry has transformed, overcoming significant challenges such as fraud and enhancing profitability through digital technologies. Thanks to SwiftAnt’s Afrisure on Microsoft Azure, we've adopted digital solutions like DMVIC, claims automation, and the insurance marketplace, all under a zero-CAPEX model.”
Trade association and consultative body for the Kenyan insurance industry.
Built the Afrisure suite on Azure to automate AKI's claims and certificate management.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Association of Kenya Insurers (AKI)'s Policy and claims management is part of this use case:
Related implementations across industries and use cases
Reviewing police reports and IDs took days of manual work. Now, AI extracts the data instantly, freeing teams to resolve claims faster.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.
Heavy manual workloads delayed key documentation. AI now extracts insights and summarizes records, freeing teams to focus on members.
Reviewing police reports and IDs took days of manual work. Now, AI extracts the data instantly, freeing teams to resolve claims faster.
Specialists spent 25 minutes manually reading medical documents. Now, AI summarizes them in seconds, accelerating expert review.
Scattered systems delayed risk decisions. Now, an AI assistant grounded in live search lets experts instantly compare complex policies.
Adjusters spent up to two hours manually reviewing hundreds of claims notes. Now, secure AI summarizes complex case files in minutes.
Space static broke standard tools, requiring manual logs. Custom models now run a real-time check and make archives searchable.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Manual workflows caused duplicate policies and bottlenecked rollouts. Now, ML processes forms and insurers launch new products in one day.
An industry association representing the Kenyan insurance sector, operating in a market where a lack of centralized systems for purchasing policies, issuing certificates, or reporting claims hindered growth.
Outdated manual processes left insurers highly vulnerable to fraud, including the double issuance of certificates across motor, life, marine, and...
“Kenya's Motor Insurance industry has transformed, overcoming significant challenges such as fraud and enhancing profitability through digital technologies. Thanks to SwiftAnt’s Afrisure on Microsoft Azure, we've adopted digital solutions like DMVIC, claims automation, and the insurance marketplace, all under a zero-CAPEX model.”
Trade association and consultative body for the Kenyan insurance industry.
Built the Afrisure suite on Azure to automate AKI's claims and certificate management.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Association of Kenya Insurers (AKI)'s Policy and claims management is part of this use case:
Related implementations across industries and use cases
Reviewing police reports and IDs took days of manual work. Now, AI extracts the data instantly, freeing teams to resolve claims faster.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.
Heavy manual workloads delayed key documentation. AI now extracts insights and summarizes records, freeing teams to focus on members.
Reviewing police reports and IDs took days of manual work. Now, AI extracts the data instantly, freeing teams to resolve claims faster.
Specialists spent 25 minutes manually reading medical documents. Now, AI summarizes them in seconds, accelerating expert review.
Scattered systems delayed risk decisions. Now, an AI assistant grounded in live search lets experts instantly compare complex policies.
Adjusters spent up to two hours manually reviewing hundreds of claims notes. Now, secure AI summarizes complex case files in minutes.
Space static broke standard tools, requiring manual logs. Custom models now run a real-time check and make archives searchable.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.