# How to Build an AI Agent for Business Building an AI agent starts with a clear business task: lead qualification, customer support, appointment booking, sales outreach, document processing or another repeatable workflow. ## Core architecture A production AI agent commonly combines an LLM, instructions, tools or APIs, application logic, memory where appropriate, authentication, logging and safety controls. ## Tools and APIs Agents can call approved tools such as CRM APIs, databases, search systems, messaging APIs and cloud telephony systems. Keep tool permissions narrow and validate inputs and outputs. ## Voice AI and calling For an AI calling workflow, the agent can connect to a telephony or SIP layer, speech-to-text, an LLM, text-to-speech and business systems such as a CRM. ## Production checklist Define the use case, create evaluation cases, add guardrails, protect credentials, log important events, measure latency and cost, and provide a human handoff for cases that need people. BANTConfirm can help businesses discover related AI calling, AI voice agent, cloud telephony and automation solutions through its marketplace.
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