Banks, fintechs, payments, insurance, and finance teams. 10 real deployments, each with sources, reported outcomes, and caveats.
HUB reports an 85% productivity increase in targeted use cases, 2.5 hours saved per employee per week on average, and over 90% user satisfaction in early use cases.
In A/B tests on the card-delivery agent, AI transactional NPS rose 37 points and self-service rate rose 29 points over prior agent variants.
500+ users, 234 agents and 15,600+ automated tasks a week; 50% less ticket investigation time and 75% of support queries resolved autonomously.
More than a thousand pull requests merged each week are fully agent-produced and human-reviewed.
Over 100 digital employees in production by October 2025, later reported as 130+, each with a human supervisor.
Pilot started with plans for hundreds of instances; the CIO expects 3–4x developer output on routine code updates.
Used by 1,000+ finance teams within six months; Ramp claims 99% approval accuracy and 7x more out-of-policy spend caught.
Rolled out to the firm's financial advisors in 2024; the firm cites about 30 minutes saved per client meeting (testimonial).
2.3M conversations in the first month, about two-thirds of all service chats, the work of roughly 700 full-time agents (company claim).
Cognition reports 8–12x engineering-time efficiency and over 20x cost savings on the data-class migrations.