Document processing AI
AI document processing agent: OCR, validation and integrations
An AI-assisted workflow that receives files from email, portals and cloud storage, extracts fields, routes uncertain values for review and sends validated data to CRM or ERP systems.
Problem and effect
What was built and what the business received
A case is not only a screen. It should show the business problem, solution architecture, result after launch and DevAstro responsibility area.
What had to be solved
Build a unified AI process for incoming documents so the team does not process files manually across email, portals, cloud folders and accounting systems.
How the working system was assembled
We connected an incoming file queue, OCR, classification, field extraction, disputed-field review, routing rules, archiving and API data transfer.
What the business received
The proposed workflow routes uncertain fields to review and sends validated data to archive, CRM and ERP systems without repetitive manual copying.
What DevAstro was responsible for
DevAstro handled processing logic, review interface, server API, task queues, routing rules, integrations and AI process growth planning.
Solution breakdown
How the key screens and scenarios work
The controlled process combines a file queue, OCR, confidence scoring, human review for exceptions, retention rules and an auditable handoff to connected business systems.
Incoming file queue
Documents are collected into a controlled queue with statuses and processing rules.
AI classification and field review
OCR and AI extraction separate confident data from fields that require human validation.
Routing and system handoff
Validated data moves to archive, CRM or accounting systems through API rules.
Archive and retention rules
Documents keep traceability, storage rules and audit-friendly status history.
Mobile approval
The team can review disputed fields and approve documents outside the desktop flow.
Technical system
Architecture, stack and growth foundation
The stack is chosen for business scenarios: website speed, manageable content, external integrations, analytics, SEO and further support.
Not a technology list, but a working system
A website or service should be easy to evolve: add pages, connect APIs, launch SEO and paid traffic without breaking user scenarios.
Discuss a similar task
Need AI automation for documents or lead processing?
We will review document sources, file types, fields to extract, validation rules, CRM/ERP integrations and a safe first implementation stage.
