Input For You

Our solutions

Input For You enables leading corporations to transition successfully from paper handling activities to a digitized paperless environment.

We help leading corporations reduce paper handling cost and increase efficiency in handling their inbound documents stream.

input for you



Difficulties in processing fines (comparing license plate with driver and police information), handling customer complaints etc...

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Finance & Insurance

Too many data capture interactions when handling insurance claims, difficulties capturing unstructured and handwritten documents etc ...

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ncreasing manpower cost coming from paper handling activities, money loss due to undelivered and unpaid invoices etc....

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Increasing manpower cost coming from paper handling activities, risk of losing medical archives etc...

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Industry & services

Difficulties handling customer complaints, increasing manpower cost to manage incoming invoices etc...

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Difficulties handling customer complaints, increasing manpower cost to manage incoming invoices etc...

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Social sector

Outsourcing of document handling services, automated workflows etc...

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Difficulties processing contracts, customer letters and counter recordings, too many data capture interactions when handling handwritten documents etc...

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Mailroom Outsourcing

Today digitizing becomes essential. Yet workers spend much time distributing and processing paper documents and this becomes an expensive, labour intensive and error sensitive process.

How can you save 30 to 80% on your incoming post handling cost?

Your inbound paper mail will be rerouted to a PO Box and picked up by Input For You on daily basis. The mail will be sorted and digitized, can be handled as confidential or returned physically. With state-of-the art machine and deep learning every incoming document will be automatically recognized and assigned to your personal digital mailbox. Many type of documents can be handled and processed. 

Inbound documents can be integrated with workflows automation systems, allowing end-to-end document processing. Additionally unstructured metadata can be extracted from each document and integrated in a structured way in your business applications.

Some examples:

  • General post: paper, email and mobile phone uploads
  • Invoices
  • Contracts& claims
  • Medical & patient files
  • Daily post returns
  • SEPA documents
  • Marketing surveys

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Invoice Automation

Invoice automation is the process of streamlining and automating the creation, approval, processing, and payment of invoices using digital tools.

This technology can help businesses save time, reduce costs, improve accuracy, and enhance productivity by eliminating manual processes and reducing the potential for human error.

Invoice line data can be captured automatically & the invoice can be validated with orders and delivery notes (three-way matching).

The benefits of invoice automation include improved accuracy and efficiency, reduced processing time, increased visibility and control, and improved cash flow management.

With the use of invoice automation, businesses can also reduce the likelihood of errors and disputes, resulting in faster payments and better relationships with vendors and customers.

Overall, invoice automation is an important tool for businesses looking to streamline their financial processes and improve their bottom line.

By adopting this technology, businesses can reduce their administrative burden, improve their financial reporting, and free up resources for more strategic activities.

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Digital archiving

Paper archives require lots of storage space, expensive human interactions and they have long document retrieval times.

Additionally they are extremely susceptible to moisture and temperature fluctuations, which can cause materials to expand and contract, contributing to their continuing deterioration.

By digitizing the paper archives, we can guarantee a ROI after 3 year for active and 8 years for passive archives.

Digitizing a paper archive offers advantages such as enhanced accessibility, improved searchability, increased security, space and cost savings, easy backup and disaster recovery, collaboration and sharing, and preservation and conservation of valuable documents.

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Insurance Claims & Underwriting automation

Insurance claims and underwriting automation refers to the use of technology, such as artificial intelligence (AI) and machine learning, to streamline and improve the efficiency of insurance claims processing and underwriting.

Claims automation involves using AI and machine learning algorithms to quickly and accurately process insurance claims, reducing the need for manual intervention and minimizing the potential for errors.

Underwriting automation, on the other hand, involves using AI and machine learning algorithms to process new policies in an automated way. However, in health insurance medical reports often need manual corrections due to handwritten reports. Thanks to IFY’s dual entry methodology a 99,5% accuracy rate of metadata recognition can be guaranteed.

Overall, the use of insurance claims and underwriting automation can help insurers reduce costs, improve efficiency, and provide better customer service by reducing the time it takes to process claims and determine premiums.

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Medical document processing

Medical document processing involves the extraction of useful information from medical documents such as patient records, medical histories, lab reports, and prescriptions. The process can be done manually, but it can be time-consuming and prone to errors. As such, many healthcare providers are turning to automated systems to improve efficiency & accuracy.

We use several techniques in medical document processing, including optical character recognition (OCR), natural language processing (NLP), and machine learning. OCR involves the conversion of scanned documents into machine-readable text, which can then be analyzed by NLP algorithms to extract useful information. NLP techniques involve the analysis of natural language text to identify relevant information, such as patient demographics, diagnoses, and treatments. Machine learning algorithms can be trained to automatically classify and extract information from medical documents, improving accuracy and efficiency.

Medical document processing has many potential benefits, including improving the accuracy of diagnoses, reducing the time required to make treatment decisions, and increasing the efficiency of healthcare providers. It also has the potential to reduce costs associated with healthcare by streamlining administrative processes and reducing the need for manual data entry and document handling.

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Fines & bailiff document handling

Automated fines handling and bailiff processes typically involve the use of technology to manage fines and related processes, such as the enforcement of fines using bailiffs. This can help to streamline and automate many of the tasks associated with fines management, making the process more efficient and less prone to errors.

Overall, automated fines handling, and bailiff processes can help to streamline and optimize the fines enforcement process, reducing administrative burdens and improving efficiency.

We automatically recognize the license plate, the details of the offense and the issuer of the fine. In the case of the bailiff’s intervention, we can automatically anonymize irrelevant information so that chargeback is faster and easier.

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Contract & order processing

Contract & order processing is often a slow process with high risk of errors. Input For You is one of the few on the market who guarantees that all your contracts & orders, no matter how diverse, are processed with an accuracy higher than 99.50 % and order processing cost gets reduced by at least 60%.

The nature of manual data entry work is the highest source of errors. To reduce the error rate and the treatment time, we use a combination of AI, manual and optical character recognition techniques. Even heterogeneous handwritten metadata get perfectly captured. Thanks to our active learning algorithms we can build accurate document processing models faster and with less data. Business rules can be integrated so that data can be enriched and validated. The algorithms learn from context and are flexible to input format changes because they interpret text and layout, not just memorize it. These self-learning models improve over time through exception validation. As we handle exception validation, we guarantee 99,5% “worry free” accurate data helping you improve customer satisfaction and employee motivation.

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HR Document administration

Digitized HR files can be easily accessed and retrieved from anywhere at any time, making it convenient for HR personnel to find and retrieve information quickly. This eliminates the need for physical storage space and reduces the time and effort required to search through physical files.

Digitized HR files can be stored in secure electronic systems with password protection and encryption, ensuring sensitive employee information is protected from unauthorized access. This reduces the risk of data breaches and ensures compliance with data protection regulations.

Digitizing HR files eliminates the need for physical storage space, printing, and paper-based supplies, resulting in cost savings related to storage, printing, and maintenance. It also reduces the risk of loss or damage to physical files, which can result in costly consequences.

Digitized HR files can be easily shared among HR personnel or other authorized personnel, facilitating collaboration and reducing the need for physical file transfers. This allows for faster decision-making and improved communication within the HR department and across the organization.

Digitizing HR files helps ensure compliance with regulatory requirements, such as recordkeeping and data retention laws. It allows for easy retrieval of information during audits or legal proceedings and reduces the risk of non-compliance penalties.

Digitizing HR files reduces the need for paper-based documentation, leading to reduced paper waste and environmental impact. It aligns with sustainability initiatives and promotes environmentally responsible practices.