Intelligent Document Processing makes the repetitive and labor-intensive task much simpler. It is a specific part of Intelligent Process Automation, wherein digital technologies like Machine Learning, Natural Language Processing, and Intelligent Character Recognition come into play to process documents and eliminate the tasks, which would have otherwise required relying on human intelligence. This makes it more practical for businesses that receive high volumes of documents, such as sales orders, invoices, and customer correspondence, to process relevant data. These unstructured and semi-structured documents cannot be processed efficiently using rule-based automation software. Yet Intelligent Document Processing (IDP) can easily translate the data in such documents into a structured format.

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Exponential Digital Solutions
Intelligent Document
Processing
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80% of data within an enterprise is
unstructured, and this type of information
is growing at 200% per year.
- Yankee Group

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Challenges are there but we look at the enormous opportunities
Understand the context or purpose of a variety of
documents
Determine the context based on dynamic criteria
Extract the required data from the document Assign intelligent OCR tool for data extraction
Combine the context and the extracted
information
Integrate business decision engines and
intelligent OCR engines
Route the now-structured data down the process
map in the right sequence
Discipline the variations and exceptions by
involving human user

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Optical Character Recognition (OCR)
Analyze and image and detects and extract the
texts in the image to a machine-readable format
Machine Learning (ML)
Systems that improve own performance by
exposure to data, outcomes and feedback loop.
They learn, predicts and improves
Human in the loop (HITL)
Human intelligence is brought it to the loop to
make decisions on exceptions, escalations and
approvals. It provides training to ML algorithms
CAPTURE RECOGNISE CLASSIFY & VALIDATE VERIFY & INTEGRATE
Received documents ( PDFs,
Scanned image) are archived
in Organizational Data Lakes
Intelligent automation solution
retrieves the documents and
extract the required data fields
Extracted data is consolidated.
Data shows the document type
(classification) and data fields
extracted from each document
Usage of BOT/API to update
the extracted data into the ERP
and processes further
Solutioning is our forte

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Turning documents into data across industries
Banking and
Financial Services
 Account opening forms
 Maintenance forms
 Mortgage applications
 KYC
 Tax forms
Insurance
 Life insurance applications
 Auto accident claims
 Disability forms
 Change of beneficiary
forms
 Annuity account forms
Healthcare
 Patient intake forms
 Enrollment documents
 Health Insurance claim form
Governments
 Employment Application
 Medicare claims forms
 Tax forms
 Social security
documentation
& more including handwritten documents

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Intelligent Data Processing Ecosystem
Secured
Doc-Storage
Data Validators
Notificatio
n Center
Process
Identifier
Pre-Extraction
Process
Extraction
Process
Post-Extraction
Process
Secured
Metadata-Storage
Curation Pipeline
Original Document
& Extracted Data
Data Extraction
Services
Data Translation
Services
Cognitive
Services
Machine Learning
Raw Documents
Digital/Scanned
PDF,Image,Office Docs
100 % Accurate
Validated Data
IDP Core Center
Client Technology Partners

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4. Humans for value 5. Return on Investment
Benefits are manifold
Accuracy Reduced TAT
Reduced cost of
ERP Licenses
Humans for
value
Return on
Investment

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4. Humans for value 5. Return on Investment
Your four step journey
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 Conduct a Discover workshop session to
identify a document processing opportunities
across organizations
 Build a digital pipeline for all the
opportunities across organization
Discover
Identify opportunities and build a pipeline
 Select the document types for pilot
 Evaluate the technology stack and select the
most suitable one by gauging practical
implementation pros and cons
 Implement the pilot and test
Pilot
Institutionalize to see impact on real life
scenario
 Continuous build of sector and business
specific Document processing solutions and
gauge success measures and ROI
Production
Industrialize solutions for use
across organizations
 Continue the process until digital pipeline is
completed and Intelligent Document
processing is BAU
Business As Usual
Continue finetuning until BAU is achieved

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Talk to our Experts
connect@10xds.com