15 practical workflow demonstrations
See document intelligence, procurement, logistics, quality, AI Assistant, AI Agent and Agentic AI workflows step by step.
Explore demos →KNOWLEDGE HUB
Practical guidance for AI operations and trusted document automation.
Answer in brief
Practical enterprise guides on AI workflow automation, agents, orchestration, human handoff, document intelligence, validation, customer operations and measurable implementation.
Original explainers, buyer guides and implementation material for teams deciding how AI, orchestration, agents, business rules, documents, systems and human ownership should work together.
MicroExtract documentation
Getting started, templates, Live Test, confidence, validation, human review, outputs, integrations, security and troubleshooting.
Open documentationAI workflow automation for enterprise operations
A complete model for inputs, interpretation, orchestration, action, human control and measurable outcomes.
Read guide →AI workflow automation vs RPA
Understand when deterministic automation is enough and when AI interpretation adds value.
Read comparison →AI agents vs workflow automation
Use agents as bounded workers while orchestration keeps state, permissions and accountability explicit.
Read guide →Enterprise AI agent governance
Design role boundaries, approved tools, human approval, evidence, monitoring and change control.
Read guide →AI customer support with human handoff
Preserve identity, case context, CRM data and ownership when work moves from AI to a person.
Read guide →Why deterministic validation matters in AI document processing
Where probabilistic extraction should stop and explicit business logic should begin.
Read guide →Accounts payable document automation: what to automate first
A finance-first model for invoice capture, validation, exceptions and ERP-ready output.
Read article →Bill of lading extraction without losing shipment context
Combine flexible extraction with shipment references and explicit operational checks.
Read article →Purchase order automation for procurement and manufacturing
Move from document interpretation to validated purchasing data and controlled exceptions.
Read article →OCR vs IDP vs document AI
Understand where OCR ends, what IDP adds and why trusted output needs more than a model.
Read guide →Invoice extraction: from OCR to trusted finance data
A practical model for extraction, arithmetic checks, exceptions and downstream delivery.
Read guide →MicroPlatform frequently asked questions
Concise answers about products, integrations, human review, automation boundaries, pricing and deployment fit.
Read FAQ →Illustrative purchase order validation workflow
A transparent example of how to define trusted output, exceptions and measurement before a lighthouse implementation.
Read case study →Have an operational workflow worth evaluating?
Bring the input, volume, current manual process, connected systems, approval rules and desired outcome.
Practical document evaluation guides
Prepare your fields, review exceptions and evaluate the output your workflow needs.