How the manufacturing industry automates business processes with AI
Streamline procurement and supplier workflows
From purchase orders to delivery notes, manufacturers rely on document-heavy processes to manage suppliers and materials. Affinda extracts, validates and routes data automatically – reducing delays, errors and costly rework.Reduce manual handling of production and documents
Shop floor teams often work with printed or scanned documents – like inspection reports, work orders and safety checklists. Affinda turns these into structured data, improving visibility and reducing admin overhead across operations.Keep audit records clean and compliant
Manufacturers must retain clear, complete documentation for audits, safety reviews and regulatory reporting. Affinda validates key fields, redacts sensitive data and returns structured outputs that can be tagged and stored with traceable metadata in your own systems.Extract any information from any document, fast
Create models in seconds
Upload a claims document and the Affinda Platform will predict the fields you need – like claimant details, policy number, incident date, totals and line items – so you can automate claims document processing in just a few clicks.
Validate and transform data
The platform checks extracted claims data against your business rules and transforms it into a format your claims management system expects. That way, it’s ready for workflows like coverage checks, reserving, routing and settlement.
Apply your business logic
Use natural language to write validation rules that match your claims workflows, for example: flag missing fields; check policy numbers match correct formats; validate that document dates are within ranges; check financial consistency, such as line items summing correctly to totals.Pathway 1: Use the Agent
Create integrations fast, even if you’re not a developer. Choose from 2800+ business systems and describe how you want your claims document processing workflow to connect, using natural language. The Agent will generate the code to make it happen.Pathway 2: Write your own code
Easily connect Affinda Platform to your claims stack using our client libraries and APIs. Automatically generate type-safe Pydantic models or TypeScript interfaces tailored to your claims documents, so extracted fields map cleanly into your workflows.
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No sales calls, no credit cards and no hidden features. Get all the power in your hands from day one.Upload documents
Drag and drop, email or upload via API. Affinda can handle any document, any file type and any layout with ease.See the magic
Watch as the platform predicts the information you want to extract, letting you build models in minutes, not months.Automating their document processes with AI
Combine the best of artificial and human intelligence
99%+ accuracy in data and information extraction
10+ years of IP combined with the latest AI innovations
800+ customers
50+ languages supported, empowering customers globally
Frequently asked questions
How does AI document processing help automate manufacturing workflows?
The use of an AI-powered optical character recognition (OCR) data extractor in the manufacturing industry can significantly enhance operational efficiency, productivity and profitability. An AI OCR data extractor is adept at pulling important data from physical documents. In manufacturing, where documentation, record-keeping and data analysis are critical yet tedious tasks, OCR technology can deliver a transformative operational change. Data relating to production schedules, stock inventory, quality control reports and supply chain instructions often exist in physical formats, and manually managing this vast array of information is both time-consuming and error-prone. By implementing AI OCR technology, manufacturers can retrieve this data in a structured format quickly and accurately.
What is an example of our AI agents automating business workflows in manufacturing?
A great example of how Affinda's AI-powered OCR data extractor can help in manufacturing is to greatly improve inventory management. Manufacturers often have to handle complex inventories containing hundreds, if not thousands, of different components. Document AI and OCR can be used to scan and extract the necessary data on invoices, consignment notes and more, making it easier to track stock and manage inventory. Automation of this process reduces the risk of miscounts and discrepancies, which, in turn, aids production planning and prevents costly production delays.