Transform Paperwork into Actionable Intelligence
Turn paperwork into possibilities. We build document pipelines that read, classify, and extract, so your archives become structured data your systems can use.
What this work is measured on.
The outcomes engagements in this practice aim at, and how we track them.
We measure how many hours your team spends keying documents today, automate the extraction that earns it, and count the hours against that baseline.
We time your current intake from document arrival to system entry, then track the same clock once extraction runs in production.
Accuracy is measured on your document set, not quoted from a brochure. We validate against ground truth samples and report the error rate before rollout.
We track how much of your archive is classified and searchable, so trends and obligations buried in files become visible.
WHERE THIS SITS // CWR90
This is Walk work: days 31-60 of the 90. The build phase, where the agent takes shape inside your systems.
What the engagement covers.
From strategy to implementation, every layer of the build is owned.
Optical Character Recognition (OCR)
Advanced OCR technology that accurately extracts text from scanned documents, images, and PDFs.
Intelligent Classification
Automatically categorize and organize documents based on content, purpose, and business rules.
Data Extraction & Validation
Extract key data points, validate information, and ensure data quality across all document types.
Semantic Understanding
Understand document context, relationships, and meaning for intelligent processing and analysis.
Workflow Integration
Integrate with your existing business processes and enterprise systems.
Compliance & Security
Ensure regulatory compliance and data security with audit trails and access controls.
Where this already runs.
Sector experience that shortens the path from scoping to shipping.
Legal Services
Contract analysis, legal document review, and case file management
Healthcare
Medical records processing, insurance claims, and patient document management
Financial Services
Loan processing, compliance documentation, and financial statement analysis
Insurance
Claims processing, policy management, and risk assessment documentation
Manufacturing
Quality control documents, compliance reports, and technical specifications
Government
Public records management, permit processing, and regulatory compliance
PROCESS
How the work runs.
A fixed sequence with sign-off gates, so you always know where the engagement stands.
- 01
Document Assessment
Analyze your document types, volumes, and processing requirements
- 02
Solution Design
Design custom AI models and workflows for your specific document types
- 03
Model Training
Train AI models on your documents to achieve optimal accuracy
- 04
Integration & Deployment
Deploy solutions and integrate with your existing systems
FAQ // QUESTIONS
Frequently asked questions.
Direct answers about scope, timelines, and how delivery works.
What types of documents can the AI process?
Our AI can process virtually any document type including PDFs, images, scanned documents, forms, contracts, invoices, reports, and handwritten text across multiple languages.
How accurate is the data extraction?
We do not quote a universal accuracy figure. Extraction accuracy is measured on your documents: we validate against a ground truth sample before rollout, report the error rate, and keep tracking it in production as the models improve.
Can the system handle handwritten documents?
Yes, our advanced OCR technology can accurately process handwritten text, though accuracy may vary based on handwriting quality and document condition.
How does the AI ensure data privacy and security?
We implement enterprise-grade security including encryption, access controls, audit trails, and compliance with regulations like GDPR, HIPAA, and SOC 2.
What's the typical implementation timeline?
Timelines depend on document complexity and integration requirements, so we scope them per engagement and write the plan down before work starts. We begin with a pilot on a narrow document set, so you see extraction quality on your own files before anything scales.
What do you need from us to start a document intelligence project?
A representative sample of the documents you want processed, someone who knows the current manual process, and access to the system where extracted data should land. Document intelligence projects fail on unrepresentative samples more than anything else, so we push hardest on that first item.
Can document intelligence integrate with our existing systems?
Yes. Extracted data is pushed into the systems you already run, whether that is an ERP, a document management platform, a database, or a spreadsheet-driven workflow, through APIs or file-based handoffs. Your team keeps working in familiar tools while the manual re-keying disappears.
Who owns the document intelligence pipeline and our data afterwards?
You do. The extraction pipeline, models, and code are delivered into your repositories and deployed in your own cloud account, and your documents stay under your control throughout. Nothing about the engagement locks you to us.
What does support look like after the system goes live?
We stay on to watch extraction quality on real document volume, handle new document variants as they appear, and retrain when accuracy drifts. Most clients keep a light retainer for this; others have us hand over runbooks and train their team to run document intelligence alone. Either way the choice is yours.
How do you price document intelligence projects?
Through a scoped proposal after an engineering call, not a rate card, because document variety drives effort more than volume does. Builds are usually fixed-scope; ongoing tuning and support run as a retainer. We put the scope in writing so you know exactly what you are buying.
Ready to Put Your Documents to Work?
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