AI Agents
AI agents connect goals, context and tools. What matters is less the label and more which tasks and permissions an agent actually receives.
What is an AI agent?
An AI agent is an AI-based system that pursues a goal, processes information and can use tools or systems within defined rules. What matters is its actual scope, permissions and controls.
Open answer →AI AgentsWhat is the difference between a chatbot and an AI agent?
A chatbot primarily reacts to input. An AI agent can additionally pursue goals, use context, call tools, plan multiple steps and trigger actions within defined boundaries.
Open answer →AI AgentsCan an AI agent access a CRM and perform tasks?
Yes, if an approved interface and suitable permissions exist. Separating read, suggest and write access helps keep sensitive actions traceable and controllable.
Open answer →AI AgentsWhat is a voice agent?
A voice agent is an AI assistant that understands and handles spoken or phone interactions. It becomes especially valuable when call content is structured, documented and passed into downstream workflows.
Open answer →AI AgentsHow much autonomy should an AI agent have?
Enough autonomy to create value, but no more than the risk justifies. Low-risk reading and analysis can be highly autonomous, while external communication, money, contracts or irreversible changes need stronger approval.
Open answer →AI AgentsWhat is a multi-agent system?
In a multi-agent system, several specialized AI agents with different roles work together. One agent may research, another evaluate and a third prepare a workflow.
Open answer →AI AgentsCan you work with a CRM through ChatGPT or another LLM without opening the CRM interface?
In principle, yes, if the CRM or an integration layer exposes suitable APIs or MCP tools. Users can then ask about the latest customer interaction or prepare the creation of an opportunity. Defined permissions, approvals and an audit trail are important; an LLM should not receive unrestricted write access by default.
Open answer →