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.
Regulatory docs the size of phone books slowed model cycles to months. An AI agent now codes features and writes documentation in hours.
Fragile data pipelines bottlenecked engineers. Now, built-in workflows let teams ship internal AI tools without managing infrastructure.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
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.
Regulatory docs the size of phone books slowed model cycles to months. An AI agent now codes features and writes documentation in hours.
Fragile data pipelines bottlenecked engineers. Now, built-in workflows let teams ship internal AI tools without managing infrastructure.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.