HashMicro
Business process automation
Standard OCR failed on complex layouts. Vision-language models now automate matching, cutting validation effort by 40%.
- Over 40% reduction in human validation effort
Legacy OCR forced manual checks on 40% of invoices. Claude now interprets diverse layouts without static templates.
An Australia-based digital solutions provider manages 14 terabytes of data and millions of documents annually for over 400 organizations across Asia Pacific.
Legacy template-based OCR systems required over 24 hours to configure per customer and 300 hours of monthly maintenance. Despite this effort, the...
“Using generative AI on Amazon Bedrock, we've made our automation smarter and easier to scale. It's helping us move faster and build a foundation for broader innovation that benefits our customers.”
Document management and business process automation software solutions.
Cloud computing platform and on-demand infrastructure services.
Ellby's Invoice processing is part of this use case:
Related implementations across industries and use cases
Standard OCR failed on complex layouts. Vision-language models now automate matching, cutting validation effort by 40%.
Dense API docs bottlenecked non-technical users. Now, Claude builds fully configured voice agents from simple plain-text requests.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Standard OCR failed on complex layouts. Vision-language models now automate matching, cutting validation effort by 40%.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.
Legacy OCR forced manual checks on 40% of invoices. Claude now interprets diverse layouts without static templates.
An Australia-based digital solutions provider manages 14 terabytes of data and millions of documents annually for over 400 organizations across Asia Pacific.
Legacy template-based OCR systems required over 24 hours to configure per customer and 300 hours of monthly maintenance. Despite this effort, the...
“Using generative AI on Amazon Bedrock, we've made our automation smarter and easier to scale. It's helping us move faster and build a foundation for broader innovation that benefits our customers.”
Document management and business process automation software solutions.
Cloud computing platform and on-demand infrastructure services.
Ellby's Invoice processing is part of this use case:
Related implementations across industries and use cases
Standard OCR failed on complex layouts. Vision-language models now automate matching, cutting validation effort by 40%.
Dense API docs bottlenecked non-technical users. Now, Claude builds fully configured voice agents from simple plain-text requests.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Standard OCR failed on complex layouts. Vision-language models now automate matching, cutting validation effort by 40%.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.