The day I showed a support team our AI in action, jaws hit the floor. 🤯

It started with a simple question: “What does a typical AI deployment look like?”
In our first call, we jumped into Twig, typed in their website URL, gave the agent a name—and in under five minutes the AI was already answering real customer questions straight from the site. Yep, FIVE minutes. ⏱️

That initial “How is this so easy?” soon turned into excitement. We mapped out all their data sources—Slack channels buzzing with product questions, Confluence pages, Google Drive folders, OneDrive docs—and connected them in a snap. With integrations live and refresh schedules set, Twig began digesting fresh knowledge every week.

By day two, they had one AI agent ready to rock. By week one, a small pilot of support agents was already fielding tickets alongside their AI teammate. By week two, that team grew from two to ten—each one empowered with instant, bullet-point answers, and clear guardrails for what the AI can and can’t handle. If a question drifts beyond scope, the AI simply says, “I’m sorry, I don’t have that info right now.” 🚧

And here’s the real magic: by week four, Twig was built into Zendesk, Help Scout, Gmail, even browser extensions—so every support rep has AI at their fingertips, 24/7, without missing a beat. 🌐✨

If you’ve ever wondered how fast you can turn your support operation into a proactive, AI-driven powerhouse, the answer is: faster than you think.

Want more behind-the-scenes stories of AI in customer experience? Follow me for insights, surprises, and tips that will change how you support your customers. 🔍❤️

🚀 #AIinCX   #CustomerSupport   #Automation   #Fintech   #TwigAI   #Innovation   #TechStorytelling

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