AI agents on WhatsApp, Instagram and Messenger aren't new, but Meta now supplies its own. Here's what Meta Business Agent does, what it costs, and how it compares to CM.com's own agentic AI platform, HALO.
Ask HALO builds, debugs and maintains AI agents from inside HALO Studio, with full access to your agents, tools and conversation history. See how CheapCargo, Preston Palace, Winparts and Intergamma use it.
The race to deploy AI agents in customer service is moving fast, and so is the market of vendors offering to help you do it. There's genuine innovation happening across the board. But as AI agents move from pilots into production, the question that separates successful deployments from expensive lessons is less about the technology itself and more about the foundation it's built on: who is actually behind the platform?
You've been sending SMS messages to your customers for years. Delivery rates are high, they work on every phone, and your customers are familiar with the channel. SMS does exactly what it's supposed to do. But that's also the problem: SMS delivers messages, it doesn't start conversations.
The customers who call are not a random sample of your customer base. They tried the FAQs. They sent a message. They waited, or they did not bother, because what they need to say is too complicated, too urgent, or too important to type. By the time they pick up the phone, they are already a little frustrated and already invested in getting an answer. The next three minutes will shape how they feel about your business more than any chat ever could. That is who voice AI is talking to. And most voice AI is not built with that person in mind.
AI has made building software dramatically easier. Screens, workflows, integrations, even complete mobile applications, generated in an afternoon, from a handful of prompts. That's real progress.
WhatsApp is rolling out one of its most-requested privacy features: usernames. As of June 2026, your customers are able to hide their phone number when messaging your business, and that change has real implications for how you identify customers, run campaigns, and structure your data.
Whether it’s a packed retail store on a Saturday afternoon or a crowded festival at peak hour, the moment the network drops, everything changes. Queues build. Payments fail. Sales stop. What now?
Customer service teams are used to precise analytics. Average handle time, first contact resolution, CSAT scores, numbers that are clean, comparable, and easy to report on. AI agents change that dynamic in a fundamental way.
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