Deployable on your AWS in weeks
Production-ready Intelligent Document Processing for financial services, deployable on your AWS in weeks.
Already in production at a FTSE 100 wealth manager — 50 million documents.
Many financial institutions are processing documents the same way they did ten years ago — manual review, basic OCR and spreadsheet tracking. It breaks under volume, costs more than it should and leaves the business unable to act on what’s in the archive.
Virtuability IDP is a production-grade document processing system we deploy inside your own AWS environment. It extracts contents, classifies documents and extracts key information automatically, with audit trails built in. The code sits in your environment. Your team owns it at the end.
Designed for regulated environments. Architectural choices around audit, governance and data residency are made early — the same patterns we deployed for a FTSE 100 wealth manager.
Live in production
Documents processed at a FTSE 100 wealth manager. Deployed inside their AWS account. Live in weeks.
Case study · UK wealth manager
50 million client documents processed across multiple legacy formats. Workflow runs in the customer’s AWS environment. Zero data leaves the environment.
Stage 1
We assess your documents and workflows and produce a written specification. Fixed scope and fixed engagement signed off before code starts.
Stage 2
We deploy the IDP workflow inside your AWS environment using infrastructure as code. Ingest, extract and classify running on your real documents, in your own AWS environment, in weeks.
Stage 3
We extend coverage to your document set, validate output with your team and expose pre-agreed integration points for your team to connect to.
Stage 4
We launch the new capability and hand over the code, the documentation and runbook. Your team owns and runs it from here.
Text extraction, classification, content extraction — each stage independent, scalable and auditable.
Variable document formats. Comprehensive metadata capture and traceability through every stage.
Routing that categorises documents automatically, keeps cost per document predictable and stops expensive stages running on documents that don’t need them.
AWS Bedrock pulls structured fields and values from unstructured content — the data your downstream systems and compliance teams actually need.
01
Documents sitting in storage, unsearchable and unused, become structured and queryable.
02
You see output well before the build is finished. Real processing starts early in the engagement.
03
Serverless components scale to zero. You pay AWS for what you process — no per-document vendor fees on top.
04
No servers to run. Pay only for what you use. Your team focuses on the work, not the platform.
05
Audit trails, governance controls and traceability sit in the architecture from the start. The same patterns we deployed for a FTSE 100 wealth manager.
01
Discovery and specification done first. Scope and engagement signed off before anyone writes a line of code.
02
We work with your people to shape the requirement, then deliver it end to end.
03
The workflow runs entirely inside your AWS environment. At handover the code and documentation are yours to evolve.
04
The people who scope your engagement are the people who build it. One team. No handoffs, no second-tier delivery.
IDP at scale requires precise orchestration of serverless compute, managed queuing, scalable storage and AI — all of which AWS provides natively. We use the AWS services below as the foundation, with infrastructure as code and continuous deployment pipelines adapted to your environment.
AWS Lambda
Scales from zero to thousands of concurrent executions. Pay per request.
Amazon SQS
Orchestrates multi-stage workflows with backpressure and concurrency control built in.
DynamoDB
Sub-second performance at scale. GSI strategies prevent hot partitions.
Amazon S3
Event notifications trigger the workflow as documents arrive. Durable, cost-effective.
Bedrock & SageMaker
Auto-scaling endpoints for classification. Consistent performance, optimised costs.
AWS Glue
Reprocesses historical documents through updated workflow stages. Available as an optional add-on.
IaC & CI/CD
Infrastructure as code across environments. Bring your own pipeline or we set one up as part of the engagement.
CloudWatch & X-Ray
Dashboards, structured logging, distributed tracing. Visibility into every stage.
From the team
Technical insights and thinking from our AWS engineers
Document processing agent automation Background Intelligent document processing is a pattern we …
Exoskeleton effect A Guardian column this week asks whether AI dependency is eroding our ability to …
Multithreading lambda: process large file at scale Background Using serverless technologies like …
Get an instant cost estimate for your financial solution in 60 seconds. Production-ready, fixed scope, with consulting on hand as you go.