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If you don’t know about intelligent document processing (IDP), you’ve been missing out on a high-impact AI solution that automates and expedites manual processes (think referral management, compliance management, etc.) with minimal end-user training requirements.
Not to worry, as always, we’re here to help.
IDP is a type of automation that uses AI and machine learning to analyze documents in order to extract, classify, and validate relevant information. At Kicksaw, the IDP data types we normally work with are:
It requires little interaction and eliminates tedious tasks, like:
Let’s take that info and pair it with a challenge Kicksaw frequently helps our clients: transitioning from manual processes for document review and data entry in order to scale and achieve organizational growth.
If you’re thinking, “hey, IDP sounds like it would be a great fit for that,” let us introduce you to our Engineering Operations (EOPs) team. They developed an Intelligent Data Processor Accelerator, aka a solution method or repeatable process to deliver IDP (and its benefits) for a variety of use cases and needs.
This blog will cover how their Intelligent Data Processor works to take the burden off teams and expedite value realization, examples of HLS (Healthcare and Life Sciences) and cross-industry use cases, and how to tell if it’s a good fit for your specific organization.
The key for our EOPs team when it came to developing their IDP Accelerator was using their expertise (including Salesforce, IDP, AI, integration, and industry-specific systems) to find a streamlined IDP solution that would work well with the Salesforce platform, as well as a variety of systems.
MuleSoft Anypoint and MuleSoft IDP works natively with Salesforce, which fits that criteria.
The Basics: Mulesoft connects document sources to Salesforce, takes relevant unstructured data from those documents, and automatically populates Salesforce fields.
How It Works:
Now that you know the general idea of how IDP and our IDP Accelerator works, let’s take a closer look at how our clients are using it to automate the transition data from documents to Salesforce.
Use Case: Lead Source & Account Intake Management
Data: Automates extraction, classification, and validation of lead and account data from multiple sources (emails, forms, CRMs)
Benefits: Improves data accuracy, speeds up lead routing, and enables better source attribution for marketing ROI analysis
Use Case: Resume Parsing
Data: Extracts structured data (skills, experience, education) from unstructured resumes across various formats
Benefits: Accelerates candidate screening, reduces manual entry, and enhances matching accuracy in recruitment systems
Use Case: Customer Forms
Data: Processes digital and scanned forms to extract customer information
Benefits: High-accuracy; reduces manual processing time, ensures compliance, and enables faster onboarding and service delivery
Use Case: Billing Discrepancy Matching
Data: Compares invoices, purchase orders, and receipts to detect mismatches and discrepancies
Benefits: Speeds up reconciliation, reduces financial errors, and lowers dispute resolution time
Use Case: Compliance & Risk Management
Data: Extracts key compliance data from third-party reports (e.g., credit, KYC, AML)
Benefits: Helps automate risk flagging to ensure regulatory adherence; enhances decision-making with faster access to verified data
IDP is also incredibly helpful for use cases specific to HLS. Below are a few examples of areas of HLS interest, as well as what we’re using our IDP Accelerator to address for clients.
Use Case: Referral Management (Top-Trending Industry Use Case)
Data: Extracts patient and provider data from referral documents
Benefits: Helps automate intake and routing, which reduces delays, minimizes errors, and improves care coordination
Use Case: Patient Intake Forms
Data: Extracts demographic, medical history, and consent data from intake forms
Benefits: Streamlines patient onboarding; improves data quality in EHR systems
Use Case: Prior Authorization
Data: Captures and validates required clinical and insurance data from forms and documents
Benefits: Expedites approvals and reduces administrative burden on staff
Use Case: Insurance Information Completion
Data: Populates insurance fields from scanned cards or documents
Benefits: Reduces manual entry errors; ensures complete, up-to-date patient coverage information
Use Case: Claims Appeal Letter Processing
Data: Extracts relevant appeal details from letters and supporting documents
Benefits: Speeds up processing; improves compliance with appeal deadlines
Use Case: Clinical Trial Site Data Entry
Data: Automates data capture from site reports, patient logs, and trial forms
Benefits: Ensures accurate and timely entry into CTMS or EDC systems, supporting faster trials
Okay, we’re at the part of this blog where we help you figure out if IDP is right for your organization, and potentially a solution you should prioritize.
It’s an option we would consider low-risk in terms of user adoption across any industry, so generally speaking:
That said, if you’d like to know if it’s the right fit for your own organization, want to run additional use cases by us, have technical questions, or want more solution details, please contact us.