AI document processing for customer onboarding
Let's invest time, talent and resources into repetitive, manual tasks. Said no one ever. And yet, when it comes to document processing, many organizations do exactly that. Why? Affinda’s AI platform is made for this work. Its intelligent document processing does the job of entire teams faster, smarter and more accurately than any person can.
Describe your exact workflow
Tell the agent what needs to happen in your customer onboarding process and where the results should go.
Automate onboarding and KYC workflows end to end
Stop wasting time on manual processing
Manual processing is slow, costly and prone to errors. Affinda automates document workflows from end to end, cutting manual efforts and empowering your team to process documents faster.
Accelerate document approval timelines
Slow document processing delays approvals and frustrates customers. Slash approval times by delivering straight-through processing with Affinda’s machine validation features, including data mapping, validation rules and text transformations.
Improve accuracy, eliminate errors
Manual data entry leads to costly mistakes. Affinda's AI agents learn instantly from every interaction, delivering over 99% accuracy, reducing costly errors and boosting confidence in your onboarding decisions.
Scale business without stretching teams
Growing loan volumes strain manual processes. Affinda helps onboarding teams scale operations, processing more documents without additional headcount or stress on your team.
Built for compliance and data security
Affinda ensures complete traceability of every document processed, giving you the transparency and control needed for confident compliance audits.
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.
What customer onboarding and KYC teams use AI document automation for
Identity verification
Process ID cards, passports and licenses with ease.
Proof-of-address
Check and compare utility bills and bank statements.
Form processing
Capture onboarding data from digital or scanned forms.
AML screening
Extract and feed data into sanctions and watchlist checks.
Risk scoring
Aggregate KYC data for customer risk profiles.
Ongoing monitoring
Flag updated documents for periodic KYC refresh.
No need to talk to sales. Get started now
With a free trial, discover how easy it is to extract any information from any document, fast.
Sign up for free
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.
Nathaniel Barrs, CTO, PSC Insurance
95%
reduction in manual work
10×
more invoices processed with no added staff
Enhanced auditability and tracking of invoice approvals
Jorg Both, Head of Business Systems, Northline
120,000
proof of delivery documents processed annually
82%
of documents straight-through processed in the first weeks
Automatic validation of documents against ERP system
Michael Zhao, AI Product Manager, SEEK
High accuracy parsing across multiple languages
Improved customer experience thanks to better structured data
Stronger compliance with international data security and software standards
Nick Tran, Business Analyst, StateCover Mutual
300,000
documents processed annually
80
different document types
60%
Enhanced auditability and tracking of invoice approvals
Steve O’Keeffe, CTO, Felix
76%
reduction in manual data input
30%
reduction in compliance data errors
85,000
compliance documents processed annually
Combine the best of artificial and human intelligence
1B+ documents processed
10+ years of IP combined with the latest AI innovations
800+ customers
95% reduction in manual processing achieved
Frequently asked questions
How does our document AI help optimize customer onboarding and KYC workflows?
Artificial intelligence (AI) optical character recognition (OCR) plays a transformational role in customer onboarding and know-your-customer (KYC) processes. The technology aids in the automation of data extraction from critical identity documents such as passports, ID cards or utility bills, streamlining the customer onboarding process. There are several benefits to using an AI-powered OCR data extractor for these processes. First, AI OCR technology reduces manual data entry, significantly saving time and reducing the potential for errors. Second, it helps provide a better customer experience by speeding up the onboarding process. Third, it streamlines operations by integrating with existing processes, making it easy to use and adopt.
What are some examples of AI automation in customer onboarding use cases?
For example, a bank might use an AI OCR data extractor during the customer onboarding process. When a new customer opens an account they usually need to provide several documents such as proof of ID, income and others. Traditionally, employees would manually input this data into the system, requiring significant time and potentially leading to errors. However, by using Affinda's AI-powered OCR data extractor, the bank could automatically collect and analyze this information in minutes. The AI OCR system would scan the documents, extract the relevant information and populate the necessary fields in the bank's database, thereby reducing manual efforts, increasing efficiency and minimizing errors.