Foundations
AI is a category, not a product. The useful question for a business is never whether to buy AI, but which specific task is slow or costly enough to be worth automating.
In plain terms
Artificial intelligence is software that performs tasks normally requiring human judgment, such as reading documents, answering questions, or predicting outcomes from data.
Also called AI.
Artificial intelligence is software that does a job people used to do by reading, sorting, or deciding. A calculator follows fixed steps. An AI system looks at examples and produces a judgment: this email looks like a complaint, this photo looks like a damaged part, this claim looks unusual.
For a business, the useful question is not whether you have AI. It is which decision you are willing to let a system prepare, and which decision still needs a person. Most useful projects sit in the middle. The system drafts, ranks, or flags. A person still approves anything a customer or a regulator would question.
Think of it this way: Think of AI as a new category of employee: one that never sleeps, scales instantly, and costs per output, but needs very specific instructions and cannot handle judgment calls it was never trained for.
A logistics company uses AI to read delivery exceptions, classify them by type, and route each one to the right handler, cutting triage time from 20 minutes to under a minute.
A hotel chain gets hundreds of review replies to write each week. The system drafts a reply in the brand's voice from the review and the booking notes. A manager still sends the ones that mention a refund or a safety complaint.
When a task is high-volume, repetitive, and based on patterns a computer can learn from examples. Document processing, classification, and prediction are natural fits. When the problem is novel, requires genuine empathy, or when the cost of a wrong answer is high and the AI has no way to know when it is wrong.
You do not need to pick a model from this page. RaftLabs starts from the job: the documents, the decision, and what a wrong answer costs. You see a working version before a large build. The related work on our side is AI development.
This sits with the other foundations terms on the glossary. The words under every AI conversation, from the model itself to the data it learned from. Worth reading next: Machine Learning (ML), Large Language Model (LLM), and Generative AI.
Work with us
Tell us what's not working in your business. We'll find the real problem and tell you exactly what it would take to fix it.