What is a Copilot?
The term “copilot” originates from aviation - the human beside the pilot who helps navigate and operate the aircraft. In technology, it describes an AI assistant that augments human capability rather than replacing it.
AI copilots use machine learning, natural language processing (NLP), and contextual data to interpret user intent and take meaningful actions. They’re built to anticipate needs, automate routine steps, and let humans focus on creativity, problem-solving, or strategic thinking.
Common examples include:
- Coding copilots that autocomplete functions or explain code.
- Sales copilots that surface CRM data mid-call.
- Support copilots that recommend responses or actions based on ticket context.
Unlike traditional automation, copilots operate in context - understanding what the user is doing in real time and offering relevant suggestions, completions, or actions. Copilots can be embedded across tools like browsers, IDEs, CRMs, and support platforms, turning passive software into active collaborators.
How Copilots Work
- Context Awareness: The copilot reads user input, on-screen content, or system data.
- Intent Recognition: It determines the goal - e.g., drafting an email, analyzing data, or responding to a ticket.
- Action Recommendation: Using AI models, it suggests or executes the next step.
- Feedback Loop: The user’s acceptance or correction refines the model’s accuracy.
Most copilots combine retrieval-augmented generation (RAG) with Large Language Models (LLMs) to retrieve the right information before generating responses - ensuring accuracy and domain relevance.
