Case studies

# Case studies — Veth.io Engagements where we fixed and tested the workflow first, then added AI only when it amplified proven results. ## An operations copilot that triages 2,400 tickets a day - Industry: Logistics - Engagement: 4 month engagement - Summary: We rebuilt their ticket pipeline first, then layered routing and reply drafting on top. Mean handle time dropped 41% without changing headcount. - Detail: <https://veth.io/case-studies/operations-copilot> - Markdown: <https://veth.io/case-studies/operations-copilot.md> ## Contract review pipeline with 0.4% hallucination rate - Industry: Legal SaaS - Engagement: 6 month engagement - Summary: Built an evaluated extraction system over a clause-level test set. Replaced a stalled internal effort and now runs unattended in production. - Detail: <https://veth.io/case-studies/contract-review> - Markdown: <https://veth.io/case-studies/contract-review.md> ## Customer onboarding cut from 9 days to 38 minutes - Industry: Fintech - Engagement: 3 month engagement - Summary: Fixed the underlying KYC workflow before touching a model. The AI layer ended up being small — and the result is auditable end-to-end. - Detail: <https://veth.io/case-studies/onboarding-automation> - Markdown: <https://veth.io/case-studies/onboarding-automation.md> ## Navigation - [Home](/) - [Case studies index](/case-studies)