Deployed for
Syslatech
From Manual Paperwork to AI-Powered Precision: How Syslatech Automated Document Processing with AWS
Algorims built a generative AI document-processing pipeline on Amazon Bedrock that cuts manual review to a fraction of Syslatech's finance workload — with a human always in the loop for anything the AI isn't confident about.
- Client
- Syslatech
- Industry
- Finance · Document Processing
- Platform
- Amazon Bedrock
- Status
- Live in production since July 2026
~77%
Documents processed straight through, no human touch
99.6%
Modelled reduction in monthly processing cost
100%
Audit coverage across every document processed
Human reviewer in the loop for low-confidence documents
Syslatech's finance team was processing incoming documents by hand — reading, keying, and cross-checking every invoice, receipt, and form before it could move into their systems. It was slow, it didn't scale, and small errors were easy to miss under volume.
Algorims designed and delivered a generative AI-powered document processing pipeline built entirely on AWS, giving Syslatech a faster, more consistent way to process documents — without losing the accuracy or oversight a finance team depends on.
Syslatech's finance team needed a faster way to process high volumes of documents without losing the accuracy or oversight the job demands:
- Every invoice, receipt, and form was read, keyed, and cross-checked by hand before it could move into Syslatech's systems.
- Manual review didn't scale — volume grew faster than the team's capacity to keep up.
- Small errors were easy to miss under volume, with no consistent way to catch them.
- Ad hoc use of consumer AI tools sped some work up, but created its own data-handling concerns.
A generative AI-powered document processing pipeline built entirely on AWS, using a tiered extraction model on Amazon Bedrock so a fast, cost-efficient model handles most documents automatically — and only the ones it's unsure about get escalated.
Tiered extraction on Bedrock
Most documents are read and structured automatically by a fast, cost-efficient model. Anything the system is less confident about is automatically escalated to a more powerful model.
Human in the loop
If confidence still isn't high enough after escalation, the document is routed to a human reviewer before it ever reaches Syslatech's records — the AI never guesses on the finance team's behalf.
Full audit trail
Every decision, every escalation, and every human correction is logged, giving Syslatech a complete, reviewable record of exactly how each document was handled.
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