Integrations & UI
Quoted separately
CRM, ERP, database connectors, review UI, and deployment outside the AI-core scope.
Custom AI Document Processing / OCR
Messy input in. Structured data out. PDFs, scans, photos, lab reports from multiple sources: we build an extraction pipeline that normalises structure, validates fields against your rules, and routes low-confidence output to human review. Built for format variation that breaks off-the-shelf OCR. Typical timeline: 2–4 weeks.
When to build custom
Custom document AI pays off when manual intake is recurring, formats vary, and wrong extractions have a real cost.
- You receive the same document types from multiple suppliers or labs, and each source uses a different layout or export format.
- Extracted data must land in a database or trigger downstream automation, not sit in a spreadsheet.
- Healthcare, legal, or finance workflows require an audit trail for what the system read and who approved exceptions.
- Manual document intake costs measurable staff hours every week, and the bottleneck is reading and typing, not the final decision.
What you get
The AI module is a document pipeline, not a single OCR step. Messy files go in; structured, validated data comes out, with a clear path when the system is not sure.
- Pre-processing first. Inputs are prepared before field extraction. Cleanup, splitting, layout detection, handwriting zones, source-specific rules: which steps we build follows from your document types and what you need extracted.
- One output shape. Each supplier sends PDFs, scans, or exports differently. You still get the same field layout for your database and business rules.
- Auto-accept or review. Confident extractions pass through. Uncertain fields go to a review queue instead of silent errors in production.
- Fix exceptions only. Reviewers see what failed and why. They correct flagged fields, not re-type whole documents.
- Audit trail. Logs of what was read, changed, and approved when compliance, legal, or procurement needs proof.
How we deliver
Scope & estimate
Intro call: we map your document types, target fields, integrations, and success criteria. You get a fixed-scope estimate before any paid work.
Test documents
You share representative files. We run a short validation pass (typically a few days) to confirm the approach works on your real formats.
Contract & payment
We agree scope, milestones, and IP terms in the contract. Work on the AI core starts after the first milestone is paid.
Deliver AI core
We build the AI module on agreed scope: extraction, field validation, confidence routing, and human-review handoff.
Integrate if needed
Optional phase: connect to your CRM, ERP, database, or review UI. Quoted separately when not in the initial AI-core scope.
Pricing
Fixed scope and price for the AI module, agreed before the build starts.
AI module
$4,600+
Pipeline on your formats: normalise, validate, confidence routing, review handoff.
1–2 weeks with few document types; more variety, longer delivery.
Final module price depends on document variety and validation rules. Intro call gives a range; test documents confirm scope before contract.
FAQ
What is custom AI document processing?
R[AI]SING SUN builds intelligent document processing (IDP) pipelines for PDFs, scans, phone photos, and lab reports from multiple sources. The AI module is a pipeline, not a single OCR step: pre-processing on your formats, normalised field output, validation against your rules, confidence-based routing to human review, and audit logging. Structured data is ready for your database or downstream automation.
How much does a custom document AI module cost?
The AI module starts from €4,000, $4,600 USD, or £3,400 GBP for fixed scope agreed before the build. Final price depends on document variety and validation rules. Integrations, review UI, and deployment outside the AI core are quoted separately. An intro call gives a range; representative test documents confirm scope before contract.
How long does a document AI module take to deliver?
Typical delivery is 1–2 weeks after contract and first milestone payment when you have a few document types. Wider format variety or stricter validation takes longer. A test-document validation pass on your real files usually runs for a few days before the paid build is contracted.
What is included in the AI module vs integrations?
The module price covers pre-processing, extraction, field validation, confidence scoring, human-review handoff, and monitoring hooks. It does not include custom review UI, CRM or ERP connectors, database integration, or production deployment unless scoped as a separate phase. See the Integrations & UI line on this page for optional work outside the AI core.
When is custom document AI better than off-the-shelf OCR?
Custom document AI fits when the same document types arrive from multiple suppliers or labs in different layouts, extracted data must land in a database or trigger automation, regulated workflows need an audit trail, and manual intake costs measurable staff hours weekly. Single-format clean digital exports are usually cheaper to parse with a direct integration or script.
How does human-in-the-loop review work?
Confident field extractions pass through to your target schema. Uncertain fields queue for review with context on what failed and why. Reviewers correct flagged fields only, not whole documents. Logs capture inputs, model outputs, corrections, and approvals for compliance or procurement review.
Who owns the code after delivery?
Rights are defined in the contract before work starts: full buyout or a license for your deployment, with different pricing for each. Module pricing reflects scope fit and reuse of proven pipeline components from prior deliveries, not a greenfield six-figure build from scratch.
What production results exist for document AI?
A medical insurance claims intake pipeline (client under NDA) cut specialist intake from 40 hours to 8 hours per week, handled 94% of claims without human triage, and reached production in three weeks in the client private cloud. Case study: r-sun.ai/cases/medical-insurance-claims-ai.
Get in touch
Describe your documents and workflow in a couple of sentences. We'll reply with fit and next steps.
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