Automate data extraction in your KYC process

KYC automation addresses two issues within the process – classifing identity documents in real-time, and extracting data to source your systems.

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A safely automated KYC process

Identity verification and KYC are essential processes that enable your team to work with clients smoothly. However, the scans and images are often of poor quality or wrong.

Automated process that uses OCR and information extraction reduces the time of validation. That means a better customer experience.

Your team benefits from an AI-assisted workflow, where the time-consuming task is done automatically. It’s a direct way to increasing your eNPS and CSAT scores.

Let’s start your automation journey together.

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Explore the state-of-the-art technology

AI OCR

Identity documents sent by your clients can be low-quality and hard to read. Our OCR, backed by AI, handles all kinds of files. For your peace of mind.

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Personal data extraction

Source key personal data about new customers directly to your business management systems with the data extraction feature.

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Document classification

Based on the document contents and layout, the platform labels the incoming files and sorts them out.

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Multiple integrations

Connect Alphamoon through API, or use an integration based on Zapier. All of your documents are safely stored in the cloud.

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FAQ

Have questions about the product? Read the most common questions or get in touch with us.

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How does Alphamoon automate KYC?

Alphamoon assists in two steps of KYC. Firstly, the document classification feature combined with AI OCR can help with filtering scans and images sent by customers in the onboarding process. The tool will recognize the layout of the provided file and determine if it is correct and ready for processing. The second part is data extraction, which can help you automatically source data from client documents to your business management systems or reports.

What is your pricing?

KYC automation is a custom process – if you are interested in implementing it, get in touch with us. 

How much time does it take 
to set up the platform?

The implementation depends on the complexity of your system and process. Usually, the implementation for enterprise clients takes around one month. If you wish to use the Workspace feature and extract data from documents uploaded to the platform, you can start immediately by creating an account.

Supported document files

OCR for identity documents and passports.

Alphamoon reads data from Citizen Cards, IDs, passports and other documents in a snap. Take a picture drop it into our platform, and get names, surnames, dates and other details in just a few seconds. With integrations at hand, you'll power any process with incoming data.

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OCR for reading invoices automatically.

Utilize the ready-to-use model for reading invoices, which includes over 30 unique fields defined (such as amounts, dates, addresses & more). Thanks to our integrations, you will optimize entire workflows - starting from inbox automation, and ending with transferring data directly to your existing systems or apps.

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OCR do czytania danych z aktów notarialnych. 

Przetestuj OCR do odczytywania informacji z aktów notarialnych - 20 dokumentów dajemy Ci za darmo.

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OCR for receipts.

Stay on top of your cash inflow with an automated workflow for receipts. Retailer's favourite.

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Explore the world of IDP.

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How document automation helps in optimizing KYC processes

Document data extraction automates the extraction of relevant information from various types of documents. In the case of Know Your Customer (KYC), the typical set of extracted data includes name, surname, nationality, date of birth, ID or passport identification number, and other personal information.

Here’s how document data extraction helps optimize the KYC process:

Boosting efficiency: The KYC process becomes much faster and more efficient thanks to document automation. IDP eliminates the need for manual data entry and reduces the time required for document verification. The entire process can be automated to keep human supervision as the only necessary part of the process.

Raising data processing accuracy: Human errors in manual data entry can lead to costly mistakes and hard-to-track discrepancies. Automated data extraction reduces the chances of such errors by using advanced algorithms to extract information accurately and consistently.

Improving compliance: KYC regulations require various institutions and companies to gather specific customer information before delivering a service. Document data extraction ensures that all the required data points are captured correctly and verified.

Improving customer experience: Document data extraction positively impacts the customer’s experience too. The KYC process becomes smoother and less burdensome. Clients can submit documents – such as scans of IDs – electronically, and the automated extraction process speeds up the verification, minimizing delays and providing a more seamless onboarding experience.

Supporting scalability: Document data extraction allows for easy scalability of the KYC process. It can handle a large volume of documents efficiently, accommodating the increasing number of customers without a significant increase in operational costs.

Fraud detection: Document data extraction can be combined with document filtering (classification), which combined together facilitate the detection of fraudulent documents.

What are the common bottlenecks in KYC proccess

Like any process, the KYC process may encounter several bottlenecks that can slow it down, cause misuse of data, or create operational challenges. Here are some examples:

Manual data entry: Traditional KYC processes are conducted by employees manually. Manual data entry is a process that is time-consuming, labor-intensive, and prone to errors.

Document collection: When sourced manually, collecting documents requires a set of strict regulations, which are hard to follow. It may also be burdensome for users to send proper documents. This can result in delays as financial institutions wait for customers to submit the necessary paperwork.

Verification and authentication: Another complex and time-consuming task is verifying and authenticating the collected documents and customer-provided information. Comparing the information against various sources and databases is tiresome, and often leads to costly mistakes.

Compliance requirements: KYC processes must comply with numerous regulatory guidelines and requirements since they require processing personal data which may be sensitive. Automation helps in the creation of processes that mitigate risks stemming from collecting personal data.

Inefficient workflows: In the manual workflow, there are multiple handoffs between different teams or departments. This leads to delays that can occur as documents and information are passed along.

Lack of automation: A general issue is that many KYC processes still rely heavily on manual tasks and paper-based documentation. The absence of automation, such as document data extraction and workflow management systems, can introduce human error and create technological debt in the company.

Data quality issues: Inaccurate or incomplete customer data is hard to identify by humans. If data is missing or incorrect, additional steps are required to rectify the information, resulting in delays and rework.