Privacy rules bottlenecked AI scaling. A secure internal platform now cuts AML investigation time by days and security resolution by 50%.
A leading Canadian fintech serving over 2 million users with spending, savings, and credit-building solutions built entirely on cloud infrastructure.
Strict financial data privacy standards made it difficult to scale generative AI across operations without compromising compliance. Isolated tools...
“Our goal was to provide KOHO employees with better, easier, and more secure access to large language models.”
Digital banking platform for spending, saving, and credit building in Canada.
Cloud computing platform and on-demand infrastructure services.
KOHO's Internal AI platform is part of this use case:
Related implementations across industries and use cases
Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.
Rigid ML tools bottlenecked non-engineers coding with AI. Now, standardized rails and an automated AI debugger let anyone ship safely.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Tech gaps slowed innovation cycles to months. A self-service platform now lets 25,000 employees build AI prototypes in just one hour.
Regulatory docs the size of phone books slowed model cycles to months. An AI agent now codes features and writes documentation in hours.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Privacy rules bottlenecked AI scaling. A secure internal platform now cuts AML investigation time by days and security resolution by 50%.
A leading Canadian fintech serving over 2 million users with spending, savings, and credit-building solutions built entirely on cloud infrastructure.
Strict financial data privacy standards made it difficult to scale generative AI across operations without compromising compliance. Isolated tools...
“Our goal was to provide KOHO employees with better, easier, and more secure access to large language models.”
Digital banking platform for spending, saving, and credit building in Canada.
Cloud computing platform and on-demand infrastructure services.
KOHO's Internal AI platform is part of this use case:
Related implementations across industries and use cases
Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.
Rigid ML tools bottlenecked non-engineers coding with AI. Now, standardized rails and an automated AI debugger let anyone ship safely.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Tech gaps slowed innovation cycles to months. A self-service platform now lets 25,000 employees build AI prototypes in just one hour.
Regulatory docs the size of phone books slowed model cycles to months. An AI agent now codes features and writes documentation in hours.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.