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Case study · From the Pluris libraryReceipt no. 1531
What sucked

Cando wanted to scale its risk assessment program sixfold but faced heavy administrative burden.

The existing process required 4-16 hours of meetings per assessment for up to 10 subject-matter experts, plus 2+ weeks of back-and-forth coordination that pulled experts away from safety-critical work.

Transportation & LogisticsOperations
What they built

Fractional AI built Peter, a safety agent with two workflows for Cando Rail: an automated draft generator that prepares risk assessments before meetings, and a real-time voice assistant that documents and updates them live during meetings. Both are grounded in the operator's historical assessments, safety procedures, incident reports, and training data.

What changed
20+ hours saved per assessment

Each risk assessment saves over 20 hours of subject-matter-expert time versus the prior manual process.

83% faster to scale 6x

Reduced the time needed to grow the risk assessment program sixfold by 83%.

Under $0.05 per draft

Automated draft assessments are generated at less than $0.05 per generation.

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Who did it
Chris Taylor
CEO & Co-Founder, Fractional AI

Vetted by Pluris.