Glossary
AI Operations
AI operations is the application of AI to run business processes — using models to classify, extract, generate, and route work so repetitive cognitive tasks are handled automatically and consistently.
What it means
Automation handles the rules you can write down; AI handles the work that needs judgment. AI operations applies models to tasks like reading documents, answering questions, classifying requests, and drafting responses — the unstructured work that used to require a person to look at it. The discipline is in picking the use cases with real payoff and measuring accuracy, not deploying AI for its own sake.
Why it matters
- Handles unstructured work that rules-based automation cannot
- Scales judgment-heavy tasks without adding headcount
- Frees staff for work that needs a human
How it works
- 01Find a defined operational problem, not a vague AI ambition
- 02Choose the right approach: classification, extraction, generation, or routing
- 03Integrate the model into the existing workflow
- 04Measure accuracy and cost, then refine
Real examples
- Extracting fields from incoming documents
- An internal knowledge assistant that answers staff questions
- Triaging and routing support or intake requests