The Challenge
A finance team was retyping data from scanned invoices into their accounting system by hand, every single day.
Case Study · AI Integration
Three Hours a Day Back From Manual Data Entry
A finance team was retyping data from scanned invoices into their accounting system by hand, every single day. The document extraction tool we built reads the invoices directly and drops structured data straight into their system.
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NDA-protected engagement
The Story
What we walked into, and what we built
What We Built
The document extraction tool we built reads the invoices directly and drops structured data straight into their system.
The Result
3 hrs/day
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Client and platform names stay under NDA, consistent with the rest of our case studies — the engineering, and the outcome, are real.
How We Delivered This
The same path, every project
Clear stages, visible progress, and ownership that continues after launch.
01
Discovery
We map requirements, existing systems, constraints, and success criteria.
02
Architecture
Technical planning, risk review, and technology decisions documented before build.
03
Development
Iterative sprints with visible progress and working demos every sprint.
04
QA & Validation
Testing against real scenarios before anything reaches production.
05
Deployment
Controlled releases with rollback plans and zero-downtime where possible.
06
Support
Continuous improvement after launch, because production issues are our problem too.
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