Agent Assist
- Definition
- Agent assist is AI software that supports a human customer-service representative during a live contact by transcribing the conversation, surfacing answers, and drafting notes. Here the agent is the human representative.
Showing 20 of 48 terms
Agent Memory
- Definition
- Agent memory is the stored information an AI agent carries beyond a single prompt, from the current conversation to facts, preferences, and past outcomes it retrieves in later sessions.
Agent Observability
- Definition
- Agent observability is the practice of recording and inspecting what an AI agent did during a task, including each model call, tool call, intermediate result, cost, and failure, so teams can debug…
Agent Runtime
- Definition
- An agent runtime is the software environment that executes an AI agent: it runs the reasoning loop, calls the model, dispatches tool calls, manages state and memory, and enforces limits and permissions.
Agent Skills
- Definition
- Agent skills are packaged instructions, examples, reference files, and tools that an AI agent loads on demand when a task calls for them, so it can perform a specific kind of work…
Agentic AI
- Definition
- Agentic AI is AI that pursues a goal by planning steps, calling tools, observing results, and adjusting until the task is done, with limited human input. It extends generative AI from answering…
Agentic Process Automation
- Definition
- Agentic process automation applies AI agents to business processes, so the automation can read unstructured inputs, choose the next step, act across systems, and work the exceptions that rule-based tools send to…
Agentic RAG
- Definition
- Agentic RAG is a form of retrieval-augmented generation in which an AI agent decides what to search, runs several retrieval steps across sources, checks the results, and retries until it can answer.
Agentic Workflow
- Definition
- An agentic workflow is a business process in which an AI agent carries out some steps on its own, choosing actions and calling tools, while fixed rules and human checkpoints govern the…
AI Agent Framework
- Definition
- An AI agent framework is a software library or platform that supplies the building blocks for agents, including the reasoning loop, tool definitions, memory, and connections to models, so teams do not…
AI Agents
- Definition
- AI agents are software systems that pursue a goal by planning steps, calling tools, observing results, and adjusting until the task is done or a human steps in. Unlike a chatbot, an…
AI Audit Log
- Definition
- An AI audit log is a tamper-resistant record of every action an AI system took, including prompts, model responses, tool calls, data accessed, and human approvals, kept so the activity can be…
AI in Customer Service
- Definition
- AI in customer service is the use of chatbots, voice assistants, agent assist tools, and AI agents to answer customer questions, resolve routine requests, and support human representatives on harder ones.
Approval Workflow
- Definition
- An approval workflow is a control that pauses an AI agent before a consequential action, presents the proposed change to a named person, and proceeds only when that person approves it.
Autotelic AI
- Definition
- Autotelic AI is a research approach in which agents generate, choose, and pursue their own goals, driven by curiosity or learning progress instead of by tasks a person assigns.
Coding Agent
- Definition
- A coding agent is an AI agent that writes, runs, and tests software in a code repository, working through multi-step programming tasks and returning the finished change for a developer to review.
Collaborative AI
- Definition
- Collaborative AI is an approach in which AI systems work alongside people or other AI systems on a shared task, each handling the steps it does best and passing work back and…
Computer Use (AI)
- Definition
- Computer use is the ability of an AI agent to operate software as a person does, reading the screen and responding with mouse clicks and keystrokes, so it can work in applications…
Data Exfiltration
- Definition
- Data exfiltration is the unauthorized transfer of data out of an organization, whether by an outside attacker, a malicious insider, or an AI agent manipulated into sending information to an external destination.
Decision Traceability
- Definition
- Decision traceability is the ability to reconstruct, after the fact, how an AI system reached a specific decision: the inputs it saw, the rules or model it applied, the steps it took,…
Function Calling
- Definition
- Function calling is a language model capability where the model, given descriptions of available functions, responds with a structured request to run one, and the application executes it and returns the result.
Governance Plane
- Definition
- A governance plane is the layer of an AI platform that enforces identity, permissions, policy, and audit logging on every model call and agent action, separate from the models themselves.
Human Oversight
- Definition
- Human oversight is the set of design features and assigned people that let an organization monitor an AI system, interpret its output, and override or stop it. The EU AI Act requires…
Human-in-the-Loop
- Definition
- Human-in-the-loop is a design in which a person reviews, corrects, or approves an AI system's output before it takes effect, so that a human decision stands between the model and the outcome.
Hyperautomation
- Definition
- Hyperautomation is a strategy for automating business processes end to end by combining workflow tools, robotic process automation, document AI, process mining, and AI agents under one set of controls.
Intelligent Automation
- Definition
- Intelligent automation combines rule-based automation, such as workflow software and robotic process automation bots, with AI models that read documents, classify requests, and make predictions, so processes can handle inputs a script…
Levels of Agent Autonomy
- Definition
- Levels of agent autonomy are a graded scale of how much an AI agent may decide and do without a person, from only suggesting actions to acting alone and reporting afterward.
Model Context Protocol (MCP)
- Definition
- The Model Context Protocol (MCP) is an open standard that lets AI applications connect to tools and data sources through one common interface, so any compliant agent can use any compliant server.
Model Routing
- Definition
- Model routing is the practice of sending each AI request to the most suitable model, local or cloud, based on the task type, cost, latency requirement, and sensitivity of the data involved.
Multi-Agent Orchestration
- Definition
- Multi-agent orchestration is the coordination layer that decides which agent runs when, passes work and results between agents, and tracks the state of a task across them until it completes.
Multi-Agent System
- Definition
- A multi-agent system is an AI setup in which several specialized agents work on parts of a task and exchange results, instead of one agent handling everything. Each agent has its own…
Orchestrator Agent
- Definition
- An orchestrator agent is an AI agent whose job is to break a task into subtasks, assign them to specialized agents or tools, review the results, and assemble the final output.
Planning (AI)
- Definition
- Planning in AI is the process by which a system chooses and sequences actions to reach a goal from a known starting state, considering the effects of each action. It is a…
Private AI Platform
- Definition
- A private AI platform is the software layer that runs models, agents, and integrations on an organization's own infrastructure, with identity, access control, and audit logging built in.
Prompt Chaining
- Definition
- Prompt chaining is the technique of breaking a task into a sequence of smaller prompts, where the output of each step becomes the input to the next, with checks between steps.
Prompt Injection
- Definition
- Prompt injection is an attack in which instructions hidden in content a language model processes, such as an email, document, or web page, cause it to act against its operator's intent.
ReAct Pattern
- Definition
- The ReAct pattern is an agent design in which a language model alternates between writing a short reasoning step and taking an action, then reads the result before deciding what to do…
Reflective AI
- Definition
- Reflective AI is an AI system or agent that checks its own outputs or actions against a goal, finds errors, and revises its work, either before answering or on its next attempt.
Reinforcement Learning
- Definition
- Reinforcement learning is machine learning in which an agent learns by acting in an environment and receiving rewards or penalties, gradually finding a policy that earns the most reward over time.
Robotic Process Automation (RPA)
- Definition
- Robotic process automation (RPA) is software that automates repetitive, rule-based computer tasks by performing the clicks and keystrokes a person would make in an application's screens. It works best on stable, high-volume…
Sandboxing
- Definition
- Sandboxing is the practice of running an AI agent's actions, such as executing code or browsing the web, inside an isolated environment with limited access, so mistakes or attacks cannot reach production…
Session (AI Conversation)
- Definition
- A session is one continuous conversation between a user or system and an AI model or agent, with its own history, state, and identity, kept separate from every other conversation.
Structured Outputs
- Definition
- Structured outputs are model responses that conform to a predefined format such as a JSON schema, so that downstream software can parse the result without interpreting free text.
System Prompt
- Definition
- A system prompt is the standing set of instructions an application gives a language model before any user message, defining the model's role, rules, tone, tools, and the boundaries of what it…
Tool Governance
- Definition
- Tool governance is the set of policies and controls that determine which tools an AI agent may call, with what data, under whose identity, and with what approval or logging requirements.
Tool Use
- Definition
- Tool use is the ability of a language model to call external functions, such as a database query, a search, or an API, and use the returned data to complete a task.
Workflow Automation
- Definition
- Workflow automation is the use of software to move tasks, documents, and data through a defined sequence of steps, using rules and triggers so each step starts without someone passing the work…
Zero-Trust AI Agent
- Definition
- A zero-trust AI agent is an agent deployed under zero-trust security principles: it authenticates for every request, holds only the permissions a task needs, and has every action verified and logged rather…
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