# Case studies — Veth.io

Engagements where we fixed the workflow first, then added AI when it actually helped.

## 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>

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