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CASE STUDY · NDA

Meta-verified conversational AI for an EU consumer brand

Three customer-conversation surfaces — Facebook comments, Instagram comments, and website chat — covered by one Meta-verified bot suite. Client stays anonymous under NDA. The bots themselves are in production and handling traffic 24/7.

THE PROBLEM

Three channels, no time to triage.

Inbound comments and DMs across Facebook and Instagram arrived 24/7, and the website chat added a third surface on top. Each one needed qualifying — sales lead, support question, or pass to a human — and the team couldn't keep up. Sales-qualified conversations were getting lost in the queue, and Meta engagement metrics suffered because response times slipped.

WHAT IT DOES

Every channel, qualified in real time.

Built on a Meta-verified app footprint so it operates under Meta's bot rules instead of triggering platform throttling. The bot suite handles everything repeatable; humans handle everything that isn't.

ON META (FACEBOOK + INSTAGRAM)

  • Replies to every comment, with a max of 2 replies per person per post — built-in anti-spam.
  • When purchase intent is detected, switches the conversation into DM and qualifies the lead on size, location, use case, and timeline.
  • Escalates to a human the moment the customer asks for one.
  • Qualified leads and escalations are auto-tagged in GoHighLevel.
  • Built-in abuse and over-use protection.

ON THE WEBSITE CHAT

  • Answers questions about prices, sizes, warranty, delivery, and installation.
  • Shares links to products and collections.
  • Starts the conversation by asking for the visitor's name and email.
  • Escalates to a salesperson on purchase signals and tags the lead.
  • Goes silent when a staff member adds the `bot-paused` tag.
  • Built-in abuse and over-use protection.

BUILT WITH

n8nMeta Graph APIGoHighLevel (GHL)OpenAIAnti-spam logic

Specific outcome metrics held under NDA. Reference available on request.

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