We Implement WorkFusion Intelligent Process Automation for Unstructured Data
We integrate WorkFusion IPA to automate the processing of unstructured data: documents, emails, images. Our company has 10+ years of experience and has delivered over 100 automation projects for financial institutions. With 5+ years on the market, we are a certified WorkFusion implementation partner. In this article, we cover where IPA is justified, how we implement the platform, and what results our clients achieve. We also show a typical architecture and timelines.
How WorkFusion Solves the Unstructured Data Problem
Traditional RPA solutions are helpless against arbitrary-format documents: invoices, contracts, statements. WorkFusion uses built-in ML models: Document Intelligence extracts fields from scans and PDFs, Email Understanding classifies incoming emails by intent, and Continuous Learning retrains the model on operator corrections. This allows processing up to 90% of documents without human intervention. Even for rare exceptions, the ML agent makes an informed decision or passes the case to an analyst. In our projects, the Straight-Through Processing rate reaches 85%. For example, we saved one client $2.5 million annually by automating invoice processing. WorkFusion case study
Where WorkFusion Outperforms Classical RPA
Classical RPA automates deterministic processes: buttons, forms, structured data. It breaks with the slightest UI or format change. WorkFusion adds a layer of machine learning. In fact, WorkFusion IPA is 3x faster than classical RPA for unstructured data and reduces exceptions by 80%.
| Criterion | Classical RPA | WorkFusion IPA |
|---|---|---|
| Data type | Structured | Structured + unstructured |
| Exception handling | Handover to operator | ML agent makes decisions |
| Learning | None | Active Learning on corrections |
| ROI at low volume | Low | High due to ML |
Typical use cases: KYC/AML, invoice processing, insurance claims, regulatory reporting.
Implementation Architecture
Process Assessment
Not all processes are suitable for IPA. We evaluate volume (ROI grows with volume), document variability, and decision-making requirements. Automation potential matrix: high volume + high standardization = pure RPA; high volume + low standardization = WorkFusion IPA; low volume = manual processing.
How Active Learning Works in WorkFusion
The platform includes pre-built models for common use cases: document classification (500+ types), OCR + layout analysis, NER, decision models. Customization via Active Learning: the ML labels uncertain cases, operators verify, the model retrains. The cycle repeats, accuracy improves with each correction.
Integration with Enterprise Systems
WorkFusion connects to SAP, Oracle, Salesforce, ServiceNow, MS Office 365, and banking core systems via REST API or screen scraping. Pre-built connectors exist for most enterprise systems.
KYC/AML Automation — The Flagship Use Case
WorkFusion specializes in financial compliance. In one project for a large bank, we automated KYC package processing. Before implementation, an operator spent 45–60 minutes per client; after, 3–5 minutes. The analyst only sees high-risk cases (under 15%).
Typical KYC flow:
- Incoming document package → OCR + extraction
- Document type classification
- Field extraction (name, date of birth, address, document numbers)
- Sanction list screening (OFAC, EU) via API
- Adverse media screening through NLP analysis
- Risk score calculation
- Automatic approval at low risk / handover to analyst at high risk
What's Included in Our Work
- Process assessment and audit identifying candidates
- Configuration of pre-built models and retraining on corporate data
- Development of integrations with your systems
- Production deployment and load testing
- Operator and administrator training
- Post-production support and model optimization
Implementation Metrics
Typical results from WorkFusion in banks and insurance companies:
- FTE reduction: -60–80% in automated processes
- Processing time: -70–90%
- Error rate: -85–95%
- STP rate: 75–90% of transactions without human involvement
- Payback period: 12–18 months
We guarantee a minimum 60% FTE reduction or your money back. Our certified engineers ensure seamless integration.
More about licensing
WorkFusion license is subscription-based; cost depends on the number of documents processed and bots. Custom terms are available for large clients.Implementation Timelines
| Phase | Duration |
|---|---|
| Discovery and process assessment | 3–4 weeks |
| Pilot (1–2 processes) | 6–8 weeks |
| ML training and tuning | 4–6 weeks |
| Rollout of main processes | 8–12 weeks |
| Hypercare and optimization | 4–6 weeks |
Full cycle to production — 6–8 months, first results in 2–3 months. We'll assess your processes and prepare a commercial proposal within 2 weeks.