Inbox & Engagement Operations for Teams That Cannot Watch Every DM and Comment

Most businesses do not lose leads because they ignore messages. They lose them because a comment on one platform, a DM on another, and a stalled conversation on a third all need attention at the same time, and nothing forces them into one view. Asteria's inbox pulls DMs and comments from every connected platform into a single place, so engagement stops depending on someone remembering to check four different apps.

The AI auto-reply is configurable with its own name and persona, and it introduces itself on new conversations rather than replying anonymously, which sets a visitor's expectations honestly from the first message.

When a person needs to step in, they can tag in and take over an AI conversation at any point, and tag back out again — on DM threads and on AI-handled comment threads alike, without the visitor experiencing a broken or confusing handoff.

Comments carry as much risk and opportunity as DMs, and the inbox treats them that way. Comment moderation and spam detection run alongside lead capture, so a genuine enquiry left as a comment is caught and captured the same way a DM would be, and spam or abuse does not need a separate manual sweep.

• Lead capture works directly from comments and DMs, not DMs alone
• Spam and abusive comments are flagged without a person having to scan every thread
• Captured leads feed the same qualification and alerting as the rest of the inbox

A lead that goes quiet is not necessarily a lost lead — it is often just a conversation nobody followed up on. The inbox includes proactive nudges to conversations that have stalled, plus automatic cold-lead re-engagement follow-up, so silence does not default to a dropped lead by accident.

WhatsApp conversations are not always text. The inbox understands voice notes and documents sent through WhatsApp, Messenger, and Instagram, and can reply in voice rather than forcing every exchange back into typed text. Multi-language auto-detection means the reply comes back in whatever language the visitor used, rather than defaulting to one language regardless of who is messaging.

This matters most for businesses fielding enquiries across several platforms at once, teams that get genuine leads through comments as often as DMs, and any business serving customers who message in more than one language or send voice notes instead of typing. The common thread is the same: engagement that depends on a person watching every channel constantly will eventually miss something, and this is built to reduce how often that happens.