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Customer support ops

13 stories

Stories

  • AI Chatbot vs Live Chat: A Support Routing Framework

    Decide when an AI chatbot, a live person, or an asynchronous handoff should own a support request with a practical routing framework for evidence, judgment, and account access.

    Owlish Blog11 min read
  • Why Your AI Chatbot Gives Outdated Answers (And How to Fix the Sync)

    AI chatbots don't get answers wrong because the model got worse. They get answers wrong because the knowledge base moved on and nothing told the retrieval index. Here's what causes stale answers, how to catch them, and the sync mechanisms that actually fix it.

    Owlish Blog9 min read
  • How to Build a Google Chat Support Bot

    A practical guide to building a Google Chat support bot: understand the Workspace-only setup, decide private vs. public app status, train it on trusted sources, and design handoff for IT, HR, and internal support teams.

    Owlish Blog11 min read
  • How to Build a Telegram Support Bot

    A practical guide to building a Telegram support bot: set up @BotFather correctly, decide DM vs. group behavior, handle Telegram's privacy mode, train on trusted sources, and hand off to a human.

    Owlish Blog11 min read
  • First Contact Resolution (FCR) With AI: How to Raise It Without Faking It

    First contact resolution predicts both support cost and loyalty — every 1% of FCR tracks to about 1% of CSAT and 1% of operating cost. Here is what FCR is, what a good rate looks like in 2026, how AI agents raise it, and how a careless AI deployment quietly wrecks it by counting deflections as…

    Owlish Blog10 min read
  • AI Customer Support on Instagram and Messenger DMs (2026 Guide)

    Most Instagram and Messenger DM 'automation' is marketing keyword bots, not support. Here is how to run real customer support in Meta DMs: the 24-hour window, the 7-day human-agent rule, grounded answers with citations, and handoff that respects both.

    Owlish Blog11 min read
  • How to Test an AI Support Agent Before You Let It Talk to Customers

    A practical pre-launch QA playbook for AI customer support agents: how to build a scenario bank from real tickets, test grounding and the 'I don't know' path, run adversarial checks, and turn evaluation into a regression suite instead of a one-time demo.

    Owlish Blog12 min read

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