Case 01NonprofitInvoice Processing
Texas nonprofit invoice processing
Receipt and invoice processing moved from a monthly manual slog to a working AI-assisted workflow.
- manual monthly processing
- 3 days
- after automation
- 2 hours
Case study 02
Precious metals refinery purity checking
A daily finance workflow became faster and easier to run with AI-assisted checking.
- Precious Metals
- Operations
- saved for the finance team
- ~1-2 hrs/day
- new checking time
- minutes
A precious metals refinery had a daily purity checking workflow that pulled time away from finance work. The same checks happened repeatedly, and the process depended on people moving through the same data by hand.
Enzzero rebuilt the workflow with AI assistance so the finance team could get to the answer faster while keeping the review process grounded in their existing operation.
What changed
- The repeated checking process was shortened from hours to minutes
- The finance team kept a workflow they could understand and review
- AI handled the repetitive comparison work instead of forcing the team through it by hand
Why it matters
The highest-value AI projects are often the least flashy. This one saved about one to two hours per day in a recurring finance process.
Result
Purity checking now takes minutes, saving the finance team about one to two hours per day.
See how Enzzero builds automation and workflows.
More proof
More case studies
Case 03HealthcareDeep Learning
Lung nodule detection from CT scans
A deep learning system that finds lung nodules in chest CT scans and scores how suspicious they look, built and audited in-house.
- detection AUC, held-out test
- 0.997
- patch-level detection accuracy
- 97%
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aland@enzzero.com · Houston, TX