Did you know that the majority of enterprise data—an estimated 80%—resides in unstructured formats: emails, PDFs, scanned forms, handwritten notes, voice recordings, and other forms? Despite its abundance, unstructured data is difficult to interpret and automate using traditional rule-based systems. Businesses struggle to derive value from this hidden resource. This is where having the right business process automation (BPA) platform in place can make all the difference. Traditional workflow capabilities embed intelligent automation, but sometimes it has limitations. When teams integrate AI and machine learning technologies, they are now equipped to ingest, interpret, and act on unstructured data at scale, transforming it into actionable intelligence. Let's get into how this happens, and why you need to look at our platform for execution.

What is Unstructured Data?

Unstructured data is information that does not have a predefined data model. It doesn't fit neatly into rows and columns of a relational database. Examples include:

• Scanned contracts
• Emails with attachments
• Chat transcripts
• Images with embedded text
• PDF reports
• Voice messages
• Social media content

Unlike structured data, this type of information cannot be queried directly—it must first be interpreted. Our AI bridges the gap using a multi-stage AI pipeline, but how?

Exploring the Unstructured Data Pipeline

Our platforms unstructured data processing involves the following phrases:

1. Data Ingestion

FlowWright’s AI engine supports ingestion of data from:

• Document management systems
• Email inboxes
• Scanners and OCR devices
• API endpoints and webhooks
• Cloud storage (SharePoint, OneDrive, S3, etc.)

Once ingested, documents are automatically categorized and queued for analysis using FlowWright’s workflow engine.

2. Optical Character Recognition (OCR)

If the input is an image (scanned invoice, handwritten note, photo of a whiteboard), FlowWright applies OCR (Optical Character Recognition) to extract machine-readable text.

FlowWright supports:

• Multi-language OCR
• Handwriting recognition
• Skew and noise correction

This allows even messy or low-quality scans to be digitized reliably.

3. Document Classification

Next, FlowWright uses AI-based document classification. This determines what type of document is being processed—invoice, purchase order, resume, legal agreement, etc.

Classification is achieved using:

• Pre-trained language models (e.g., GPT, BERT)
• NLP techniques (tokenization, entity detection)
• Training data provided by the customer

Classification allows the system to route the document to the right process and apply domain-specific rules.

4. Entity Extraction and Structuring

Once classified, FlowWright extracts key entities using named entity recognition (NER), keyword extraction, and custom ML models. For example, from an invoice, it can extract:

• Invoice number
• PO reference
• Supplier name
• Total amount
• Due date

These entities are mapped to structured fields in FlowWright’s data model and can be used in forms, decisions, or database records.

5. AI-Based Validation

Extracted data is then validated using AI, business rules, and external lookups:

• Is the PO number valid in the ERP system?
• Does the invoice amount match the contract?
• Are the dates within allowed thresholds?

This step ensures accuracy and compliance, reducing errors that would arise from manual processing.

6. Automated Workflow Execution

With the structured data now available, FlowWright kicks off automated workflows. Based on document type and extracted metadata, it may:

• Route to the right department
• Trigger approval workflows
• Create records in systems like SAP, Salesforce, or SharePoint
• Notify users with summary information and suggested actions

Workflows are fully customizable via FlowWright’s low-code interface, letting business users adapt processes without IT involvement.

Examples: Automating Manufacturing Certificates

In manufacturing, compliance documents like material certifications, test results, and inspection forms often arrive as unstructured documents. FlowWright AI enables companies to:

• Ingest scanned PDF certificates
• Extract key specs (part number, batch ID, test metrics)
• Validate against product database
• Trigger compliance workflow for QA review
• Generate structured reports and dashboards

This ensures traceability and regulatory compliance while eliminating manual data entry.

Integration with External AI Engines

FlowWright is AI-agnostic. It can leverage:

• OpenAI (GPT-based summarization, intent detection)
• Azure Cognitive Services (Form Recognizer, Speech-to-Text)
• Adlib (document transformation and classification)
• LangChain and other orchestration frameworks

This allows developers to plug in external AI models while still managing orchestration and governance within the FlowWright platform.

Built-In Human-in-the-Loop (HITL)

For sensitive processes, FlowWright offers HITL interfaces:

• Users can review AI-extracted fields in forms
• Provide corrections or annotations
• Feed corrected data back into the learning model (supervised feedback loop)

This hybrid approach ensures both automation and accuracy.

Compliance and Audit Trails

Every step of AI-based data extraction and processing is logged and auditable. FlowWright maintains:

• Input and output records
• Model decisions and confidence scores
• User overrides and manual validations
  

This is crucial for industries like finance, healthcare, and legal, where traceability is mandatory.

Benefits Using FlowWright & Unstructured Data

Users around heglobe choose our platform because it offers their teams:

• Speed: Reduce document processing time from hours to seconds
• Accuracy: AI models trained on specific document types ensure high precision
• Scalability: Process thousands of documents in parallel
• Cost-efficiency: Eliminate manual document triage and entry
• Compliance: Built-in validation and audit features

Whether it's processing invoices, legal contracts, inspection reports, or customer feedback, FlowWright makes unstructured data work for you—automatically, intelligently, and securely. Ready to learn more? Schedule a demo to explore our AI features and discover how it can transform your organization’s ROI using workflow automation.