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Business · AI calls3 min read

How to build an AI agent that calls customers before they have to call you

Twilio published a guide to AI agents that contact customers first about problems like a late order. Here is how it works and the consent rules to settle first.

By the Dashline deskSource: Twilio blog
How to build an AI agent that calls customers before they have to call you
Photo: Twilio blog

Twilio has published a guide to building an AI agent that reaches out to customers before they have to complain. A delayed order in your customer data can start a call or text automatically. The agent already knows who the customer is and what went wrong.

What a proactive agent is

Most AI agents are reactive. They wait until someone contacts them. By then, the guide says, a customer with a late package has already found out the hard way, and the conversation is damage control. A proactive agent starts the conversation based on an event in your systems, such as a shipping delay or a missed payment. It then handles the exchange by voice or messaging.

The guide is clear that this is not a sales autodialer. It describes contacting existing customers about something specific to their account, at a moment when the contact is useful to them.

Consent comes first

The FCC has ruled that AI-generated voices count as artificial voices under the Telephone Consumer Protection Act. That means the law's consent requirements apply to AI voice calls. The guide says to build these protections in before the first call goes out:

  • Consent records: which customers agreed to be contacted, on which channels, and for what purpose.
  • Opt-out handling: honor requests on every channel and stop pending outreach.
  • Contact-time rules: reach people only at allowed times, based on their local time and the rules that apply.

The guide also says it is not legal advice. Rules vary by country, state and use case, and it recommends talking to a lawyer.

How the pieces fit

In Twilio's setup, customer data such as CRM records, order events and payment status flows into Twilio Segment. An event, like an order changing to delayed, triggers a journey. Segment then sends the event to your own server.

That server is the gatekeeper. Before anything goes out, it checks consent, contact-time rules, and whether the customer has already heard from you today. Only then does Twilio Agent Connect start the conversation on the right channel.

Context and follow-ups

Because the business is the one reaching out, the agent should not ask for the customer's name or account number. Twilio Conversation Memory stores observations and summaries on each customer's profile. Its Recall feature pulls the most relevant ones when the trigger fires, and they go into the agent's instructions along with the event details.

The agent can also book a callback or queue a follow-up message while the customer is still on the line.

What to do

For a business owner, the order of work matters. Get recorded consent, opt-out handling and contact-time rules in place first, then connect triggers. The material provided does not say what any of this costs, and it covers the Twilio approach only.

The takeaway

Before an AI agent calls customers first, set up recorded consent, opt-out handling and allowed calling times, because AI voices fall under the same phone consent rules.

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