Intelligent document processing.
If your team still keys data off invoices, claims, or contracts by hand, we can take that off their plate. We read the document, pull the fields you need, and send a person only the cases that genuinely need a second look.
Automate Your Documents →Or just send us a sample document — we'll show you what comes out the other side.
95%+
Extraction Accuracy
70%
Time Reduction
60%
Cost Savings
How it works
The pieces that do the work.
The pattern is OCR-first, LLM-as-auditor: deterministic extraction reads the regulated numbers, a language model scores and reconciles what it finds, and a person checks anything low-confidence. Four AWS services, one pipeline — extract, understand, check, route.
AWS Textract
Pulls text, tables, and form fields out of any document. No templates to maintain — it adapts to what you send it, including scans and photos.
Amazon Comprehend
Works out what the document actually is, tags the entities that matter, and sorts it so the right data lands in the right place.
Human-in-the-Loop (A2I)
When the model isn't confident, that one field goes to a reviewer instead of slipping through. You decide where the bar sits.
Step Functions
Ties the whole thing together and hands the finished data to your existing systems, so it lands where your team already works.
What we handle
Document types we process.
If it carries data your team has to re-key, it's a candidate. Here's where we see it pay off most.
Invoices
Contracts
Medical Records
Insurance Claims
Legal Documents
Tax Forms
Purchase Orders
ID Documents
What it adds up to
Results we deliver.
Typical numbers from client deployments. Want your own estimate? Run your volume through the calculator.
70%
Less time spent on processing
95%+
Extraction accuracy
60%
Lower cost than manual entry
24/7
Runs without a night shift
Compliance posture
Built for the buyer who asks where the data lives.
Your account, never ours
The pipeline deploys into your own AWS account. Documents and extracted data never leave the boundary you already control and audit.
Inference stays scoped to you
Foundation-model calls run through your Amazon Bedrock — your prompts and content aren't used to train the models, and there's no multi-cloud data movement.
Evidence, not assurances
Every extraction carries an audit trail: what was read, the confidence, who reviewed it. HIPAA- and SOC 2-aligned, with encryption and least-privilege access.
A person on the decisions that count
Low-confidence fields route to human review before they hit a system of record. Automation speeds the work without removing the checks regulators expect.
Operating the pipeline
DevOps for document processing
Horus Technology helps teams improve the reliability and capacity of AI document-processing platforms on AWS. We define infrastructure in code, budget concurrency across document and chunk processing, implement queued admission and failure handling, and validate architectural changes against workload behavior.
Our work includes tuning Lambda and Step Functions pipelines and implementing ECS Fargate workers where the workload benefits from processing stages in-process. Capacity planning accounts for model APIs, GPU availability, queues, and database limits.
Read the course catalog DevOps case study →Keep exploring
Where this gets applied.
Financial Services AI
Loan processing, document routing, and compliance workflows for banks and lenders.
Manufacturing Automation
Manifest processing, PO matching, and safety-document translation across the supply chain.
Generative AI Consulting
The GenAI layer behind classification and routing, on Amazon Bedrock.