Can an AI agent respond to public reviews and social media posts?

Partly. An agent can post a narrow set of routine public replies, such as thanking positive reviewers or inviting someone to a private channel, from approved templates. Anything negative, specific to an account, or touching complaints, legal claims, the press or a crisis is drafted and held for a person. And it never discusses a customer's account in public.

Why is a public reply different from a private one?

Because everyone can read it, and it lasts. A private reply with a wrong detail can be corrected in the next message. A public one gets screenshotted, shared and quoted. Tone that reads as warm in a chat can read as glib under a furious review.

A public reply can also disclose things without meaning to. "We're sorry your loan application was declined" confirms that the reviewer is a customer and applied for credit. In financial services, a public reply about a frozen account can come close to tipping off.

What may the agent post, and what stays with a person?

Once the conversation moves to a private channel, normal support rules apply, including identity checks. The workflow is in how to reply to customers on social media with an AI agent.

Who should approve what the agent posts?

Not the agent itself, and ideally not the team whose service is being criticised. The idea mirrors finance, where the person who prepares an entry should not approve it; see segregation of duties when an agent posts journals. For social replies, the agent drafts and a social or communications team approves, with the service team consulted on the facts.

What does this look like at a bank?

Take a regional bank. A one-star review reads: "They froze my account with no explanation. Avoid!"

The agent does not confirm the reviewer is a customer, mention any account, or explain freezes in general terms that hint at a reason. It drafts a short reply: the bank is sorry to hear about the experience and invites the reviewer to contact it through the app or by phone so the team can help. It holds the draft for the social team and flags it to the financial crime team, in case the account is restricted for a reason that must not be disclosed. The same morning, a five-star review praises a branch adviser; the agent posts a thank-you from the approved templates.

Is this the same as monitoring social media for risk?

No. Reading public posts about the business to answer customers is a service task. Reading public information about customers or counterparties for financial crime risk is adverse media screening, a compliance task with its own rules, covered in whether an AI agent can do adverse media screening. The two should not share an agent or a brief.

Which controls make it safe?

• A short list of post types the agent may publish, each with approved templates.
• Account details never repeated or confirmed in public.
• Drafts for negative, legal, press and crisis posts held for named approvers.
• AI disclosure where required, such as a note in the profile or reply.
• Every public reply filed, with the template or approver recorded.

The broader principle, that a good support agent knows when to stop, is in the guide to AI customer support agents.