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What happens when AI meets immigration, one of the most complex, emotional, and high-stakes journeys in someone’s life? In this episode, Mike Montague talks with Grant Frazier and Ryan Bradley, co-founders of Global Entry Hub, about how they’re using AI to make immigration support more accessible, trustworthy, and human. You’ll hear how they built a multilingual AI assistant that guides people through global immigration processes, and why accuracy, empathy, and trust had to come before speed or scale.

This conversation goes far beyond immigration. It’s a masterclass for marketers and business leaders in what not to do with AI, and how to build smarter systems that actually serve people. If you’ve struggled with AI content that feels robotic, tools that underdeliver, or marketing automation that breaks trust, you’ll get fresh insight here. From hallucinating chatbots to real-world data architecture, Grant and Ryan share lessons every SMB leader should hear before launching their next AI initiative.

Top Takeaways:

• AI should be scoped with precision rather than speed.
Trying to build broad, general-purpose tools leads to confusion and a loss of trust, especially in high-stakes industries.

• Trust is earned through constraint, not creativity.
Their AI assistant only answers what it knows with certainty, which is critical when people's futures are on the line.

• Accuracy is more important than automation.
A wrong answer in immigration isn’t just a typo. It could cost someone time, money, or even legal status.

• Data infrastructure matters more than the UI.
Behind their AI agent “Mira” is a web of scrapers, data lakes, APIs, and logic rules that make her reliable.

• Hallucinations aren’t just a tech issue, but a human one.
Users must trust what they’re being told. Without that, your AI becomes a liability rather than an asset.

• Global audiences need local nuance.
Many AI tools reflect a Western bias in training data; true global support requires cultural and linguistic adaptation.

• Human support is still essential in emotional customer journeys.
For something as personal as immigration, no AI can replace the empathy and assurance of a real person.

• Don’t market your AI before you prove it works.
Early “AI-first” marketing fell flat until it was paired with human follow-up and refined positioning.

• Governments move slowly. Startups don’t have to.
While governments may take 5–10 years to modernize, startups can fill urgent gaps now if they build responsibly.

• The biggest risk in tech is overpromising.
Most AI failures in business come from trying to do too much, too fast, without clear constraints or user understanding.

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