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Building a scalable AI capability for enterprise risk assessment

We partnered with Mars to build a scalable AI capability that strengthens governance while reducing operational friction in risk assessment.

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Mars

We partnered with Mars to build a scalable AI capability that strengthens governance while reducing operational friction in risk assessment.

AI Build

Python

CPG

What once demanded weeks of manual review now happens in minutes. The solution accelerates the classification of tens of thousands of hazard and mitigation records by pre-predicting and ranking, with clear confidence signals and reasoning. Experts can immediately see which entries require deeper inspection and which can move forward with minimal effort.

Built as a reusable Python package, the system combines large language models, reference data, and explainable predictions into a capability that grows with the organization. It integrates into existing processes and can be applied to any enterprise labeling challenge – providing a practical blueprint for embedding AI into high-stakes decision workflows – responsibly, transparently, and at scale.

Want to learn more? Let’s talk

Amir Ouki

Amir Ouki

Amir leads Applied AI at BOI, leading global teams to build transformative solutions for the world’s most ambitious businesses. A passionate problem-solver, he focuses on KPI-led innovation and has launched products with Anthropic, Apple, Netflix, Palantir, Google, Twitch, Bank of America, and more.

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