Operationalizing AI with PI: Five common AI use cases that businesses face
Businesses face challenges processing valuable unstructured data locked in webforms, PDFs, and email threads; handling repetitive internal queries; automating judgment-based decisions such as credit blocks; predicting outcomes before they occur; and managing duplicate or inconsistent records that cause rework and delays.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Unstructured data awaits processing
Valuable information locked in webform comments, PDF free-text fields, and email threads requires labor-intensive manual categorization before it is usable.
Tools used
AI Annotation BuilderProcess CopilotsPrediction BuilderDuplicate Invoice Checker AppProcess Intelligence APIs
Outcome
Celonis AI tools—AI Annotation Builder, Process Copilots, Prediction Builder, and Duplicate Invoice Checker App—address these five use cases by turning unstructured data into analyzable structure, answering natural language process queries, automating judgment-based decisions with human oversight, predicting issues before they occur, and preventing overpayments through AI-driven duplicate detection.
What failed first
Traditional rule-based automation fails for judgment-intensive decisions because many enterprise decisions are subjective and unpredictable, making them difficult to automate with standard business rules.