https://store-images.s-microsoft.com/image/apps.26243.01ab5ed5-b080-4101-b0aa-b71fdaeaafea.8a792dae-180c-4c63-8790-54efaff2009d.4a926a14-3be6-4510-8c94-ea35b8130c94

INTELLIGENT DOCUMENT PROCESSING & AUTOMATION

Celestial Systems Inc

Celestial's Azure AI Document Intelligence solution reduces manual processing by 85%, improves accuracy to 98%+, and accelerates document workflows in 5 weeks.

Celestial Systems helps to automate document processing with Azure Form Recognizer and AI in 5 weeks

---THE CHALLENGE---

Organizations face document processing challenges: • Manual data entry from invoices, forms, and contracts • High error rates and processing delays • Compliance risks from document handling • Inability to extract insights from unstructured documents • High operational costs for document processing teams • Poor visibility into document workflows

---OUR SOLUTION---

Celestial's Azure AI Document Intelligence solution uses Form Recognizer, Azure OpenAI, and Power Automate to automatically extract, classify, and process documents. Our 5-week implementation reduces manual processing by 85%, improves accuracy to 98%+, and accelerates document workflows.

WHAT MAKES THIS DIFFERENT: • Pre-Built Models: Ready for invoices, receipts, IDs, and more • Custom Training: Adapts to your specific document types • End-to-End Automation: From capture to business process integration • Intelligent Validation: AI-powered quality checks

---ENGAGEMENT STRUCTURE---

WEEK 1: DISCOVERY & DESIGN • Analyze document types and processing workflows • Identify automation opportunities • Define data extraction requirements • Design solution architecture • Plan integration with downstream systems

Deliverables: Process analysis, Solution design, Integration plan

WEEK 2-3: BUILD & TRAIN • Deploy Azure Form Recognizer models • Train custom models on your documents • Build document classification engine • Implement data validation rules • Create Power Automate workflows • Integrate with business systems (ERP, CRM, etc.)

Deliverables: Trained AI models, Automated workflows, System integrations

WEEK 4: TESTING & OPTIMIZATION • Test with real documents • Optimize model accuracy • Validate integrations • Performance tuning • User training

Deliverables: Testing reports, Optimized models, Training materials

WEEK 5: DEPLOYMENT & ENABLEMENT • Production deployment • Monitor and refine • Create support documentation • Knowledge transfer

Deliverables: Production system, Operations runbook, Support documentation

---KEY CAPABILITIES---

  1. INTELLIGENT DOCUMENT CAPTURE • Multi-channel ingestion (email, web upload, API) • Automatic document classification • Support for 100+ document types • Batch and real-time processing

  2. DATA EXTRACTION • Azure Form Recognizer for structured data • Azure OpenAI for unstructured content • Tables, checkboxes, signatures extraction • Handwriting recognition

  3. VALIDATION & QUALITY • AI-powered confidence scoring • Business rule validation • Exception handling workflows • Human-in-the-loop for low confidence items

  4. PROCESS AUTOMATION • Power Automate workflow orchestration • Integration with business applications • Automated routing and approval • Email notifications and alerts

  5. ANALYTICS & MONITORING • Processing metrics and KPIs • Accuracy tracking • Bottleneck identification • Cost savings reporting

---BUSINESS OUTCOMES---

• 85% reduction in manual data entry • 98%+ extraction accuracy • 70% faster document processing • 60% reduction in processing costs • Improved compliance and audit trail • Better customer experience with faster turnaround

---USE CASES---

• Invoice processing and AP automation • Contract analysis and extraction • Insurance claims processing • Mortgage and loan document processing • HR onboarding document handling • Compliance document management

---AZURE SERVICES USED---

Azure Form Recognizer, Azure OpenAI Service, Azure Cognitive Services, Power Automate, Azure Logic Apps, Azure Functions, Azure Storage, Azure Monitor

สรุปย่อ

https://store-images.s-microsoft.com/image/apps.36428.01ab5ed5-b080-4101-b0aa-b71fdaeaafea.8a792dae-180c-4c63-8790-54efaff2009d.def74f40-f069-4bce-8b4e-cd97fdacc159