How to create an AI cold-calling agent with AssemblyAI

AssemblyAI’s implementation guide describes how to build an outbound cold-calling qualification agent using a compliance gate, Twilio telephony, Universal-3.6 Pro Realtime speech-to-text, LLM Gateway for scripted reasoning and tool calls, Text-to-Speech for responses, and CRM integrations. It emphasizes that agents should follow narrowly defined qualification scripts with fixed outcomes rather than attempt open-ended persuasion, and that legal safeguards must run before every dial by checking internal suppression lists, do-not-call registries, recipient time zones, calling windows, consent requirements, and jurisdictional restrictions. The proposed architecture uses Twilio Media Streams to relay 8 kHz μ-law audio to a server, supports answering-machine detection, AI and recording disclosures, paced speech playback, interruption handling, and filtering of conversational backchannels. The guide recommends explicit prompts, limited discovery questions, calendar-backed appointment slots, and validated tools for booking meetings, logging dispositions, scheduling callbacks, and immediately honoring do-not-call requests. It also advises validating all model-generated CRM data against what the prospect actually said, verifying and deduplicating Twilio status callbacks, measuring connection, conversation, booking, gate-block, and tool-error rates, and modeling costs across transcription, LLM usage, speech synthesis, and carrier minutes.

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