We break down real companies that put AI on their repetitive work – what they did, what it cost, and what they saved. No hype. Just the numbers, and the pattern you can copy.
An AI that reads 12,000 loan agreements a year – work that once took the equivalent of 173 full-time employees, now done in seconds at near-zero error.
Read the full breakdownAn assistant that ran 2.3M conversations in month one – the work of 700 agents – cutting resolution from 11 minutes to 2 at equal satisfaction.
Read the full breakdownORION weighs 200,000 route options per driver daily, trimming 6–8 miles each – 100M+ miles, 10M gallons of fuel and $300–400M saved a year.
Read the full breakdownSenseye forecasts equipment failure weeks ahead across hundreds of plants – cutting unplanned downtime 50%, maintenance cost 40%, lifting crews 55%.
Read the full breakdownReal-time models pick routes, carriers and catch disruptions automatically – $20M+ in transport savings since FY2024, $50M waste reduction projected.
Read the full breakdownAI automates customer-service phone ops and finance, targeting $450M in savings by 2027 – with ~$150M banked in 2025 and reinvested into more AI.
Read the full breakdown