Meta wants to turn a billion customer chats into enterprise AI agents

2026 is turning out to be a pivotal proving ground for agentic AI: providers now need to show proven use cases, not just prototypes. Meta says it can deliver on this with agents contextualized by billions of customer conversations.

The company is expanding its Meta Business Agent and rolling out a new Meta Business Agent Platform to provide infrastructure to allow enterprises to build, customize, and deploy agents at scale.

Experts point out that the company must truly prove its differentiation in a crowded space dominated by the likes of Salesforce, Google, Microsoft, ServiceNow, and others.

Technology analyst Carmi Levy noted that it feels somewhat “off-brand” for Meta to be targeting the same large-enterprise workloads as those in which agentic AI platformers are already establishing early momentum.

At the same time, he said, “Meta can’t afford to fall off the back of the enterprise AI agent trend, particularly in the kinds of platforms being frantically deployed to take over workflows currently handled by large conventionally human workforces.”

Surfacing insights across messaging apps

Meta says its new Business Agent can help enterprises not only increase their output, but deliver “more relevant, personalized experiences from the very first interaction” across WhatsApp, Messenger, and Instagram.

The agent can plug directly into existing enterprise infrastructure and answer business-specific questions based on internal data, make product recommendations from business catalogs, close sales, and book appointments and qualify incoming leads, the company said. While they can work autonomously in the background, admins can also set thresholds beyond which they require human intervention.

Enterprises can activate Business Agents now, and, while initial setup is free, Meta will roll out paid subscription offerings “with options for businesses of every size,” the company says.

The agent will also be able to act as a business partner of sorts, providing morning briefings to catch users up on chats they missed overnight and provide insights on threads. It will soon be expanded to handle more complex tasks like surfacing product insights or performing market research. This feature is being rolled out to select customers on the WhatsApp Business app, Instagram Pro, Messenger, and Meta Business Suite; other potential customers can join a waitlist.

For enterprises looking for a more hands-on approach, Meta is introducing a new Business Agent Platform. With it, enterprises can build, customize, and deploy AI agents, and set “enterprise-grade” controls, guardrails, measurements, and rules, the company said. They will also be able to connect to systems like Shopify, Zendesk, and Shopee, and give agents the ability to act autonomously.

The new offering currently works alongside Meta’s WhatsApp Business Platform, with support for Messenger and Instagram.

The platform is live now, and businesses will be charged based on AI token usage, according to a Meta spokesperson. This means customers will only pay for what the agent actually does, and Meta will provide guidance on average token usage per interaction so enterprises can plan their spend. Messages will be priced separately.

Agent context based on billions of threads

Meta isn’t starting from scratch with its agentic platform, the spokesperson pointed out; more than one million businesses are using its agents in one billion-plus threads across WhatsApp, Messenger, and Instagram to respond to customers on a 24/7 basis

“AI is going to take this to the next level, so this context becomes intelligence for the agent, which it can then use to send personalized marketing messages, follow up on orders, and build loyalty,” the spokesperson said.

Meta says it has the unique ability to deploy an agent natively into the apps that 3.5 billion people are already using today. The company can help enterprises connect with customers and engage via agents, and is “really well positioned to offer both reach and context from these existing conversations and engagement that no other platform has,” the spokesperson said.

How Meta can differentiate itself in the agent space

These broadened agentic capabilities come as Meta’s foundational social media networks move through “mid-life maturity,” Levy noted. The company must maximize growth and margins to fund its ambitious AI buildout, marking a “crucial inflection point for a company struggling for relevance in this fast-emerging digital economy.”

Meta’s advantage lies in its presence within SMEs, many of whom have spent years building communities across its diverse consumer-facing platforms, Levy said. Adding agentic AI competencies to familiar interfaces and established networks certainly makes it an easier sell in that segment.

“Beyond that scale, however, Meta faces an uphill battle against agentic vendors who have already built trust relationships with larger clients with more complex workflow needs,” he noted.

Security glitches still an issue

From a security standpoint, however, Meta still has some significant kinks to work out with its agents.

For instance, Malwarebytes Labs reported that Meta’s customer service chatbots handed over access to (mostly dormant) Instagram accounts with little effort on the part of hackers; they simply used VPNs to match the target account’s location, then kicked off a normal password reset, prompting the chatbot to provide a one-time reset code via email.

This was successful because the bot was what security researchers call a “confused deputy.” It had access to Meta’s account management system and permissions, but wasn’t taught how to verify whether it was interacting with the real account holder. The company said it has since resolved the problem and secured exposed accounts.

That isn’t a positive for enterprises, Levy noted: “Meta’s checkered AI security track record doesn’t necessarily engender the kind of trust necessary for enterprise decision makers to deploy these tools at scale.”