The "Lorignite" series, hosted by Benivo's Lori Ryan, brought some of the most practical AI conversations happening in Global Mobility right now to The View From The Top show. Here's what stood out across three episodes.
AI isn't something you "implement." It's something you practice.
That was the undercurrent running through all three episodes. The people getting the most out of AI are the ones who treat it like a habit, not a project. As Lori put it in Show 3, drawing on recent research: it's about shaping habits. Remembering, in the moment, to ask AI for help. The mindset shift matters more than the tool.
Show 1: Joy, Feelings, and the Hidden Power of Personal AI
Lori opened the series not with polished enterprise case studies, but with genuine enthusiasm and a family immigration story brought to life via a custom GPT. She asked the audience how AI makes them feel, and the conversation quickly surfaced something important: adoption is a human problem, not a technology one.
The practical Global Mobility applications came naturally. NotebookLM to transform dense policy documents into something people can listen to on a commute. AI to draft cost-of-living policy language. And one stat worth anchoring on: Benivo's Mobility Intelligence already handles up to 80% of employee questions immediately, removing the wait, the searching, and the Slack messages that interrupt everyone's day.
Show 2: Vibe Coding - You Don't Need to Know How to Code
Josh Lemon, Senior Director of Global Total Rewards at Resideo, joined to talk about vibe coding: describing a problem in plain language to an AI tool, and having it build you an application. No engineering background required.
His starting point was a meal planning app built for fun. His graduation project was Match, a tool his entire team now uses to compare job descriptions against Resideo's internal job architecture and output level-appropriate, refined descriptions. It went through cybersecurity review, got approved, and rolled out organization-wide. Built by a Total Rewards team with no dedicated development resource.
The takeaway: start with something low-risk. Play. The skills transfer, the confidence builds, and the tools keep improving.
Show 3: Habits, Agents, and What 2026 Demands
The third episode brought a broader frame. Lori and Meredith Morris, a Benivo colleague who now holds an AI certification after starting with no technology background, explored what it looks like to weave AI into a real workday. The World Economic Forum's finding cited during the show was blunt: companies are not failing at AI because the tools don't work. They're failing because changing how people think is what's hard.
The skills that matter most in an AI-augmented world are not technical. They're human: resilience, curiosity, analytical thinking, empathy, and active listening. And the closing theme was pointed: 2026 is the year companies have to prove AI can return value. Not talk about it. Prove it.
The thread across all three episodes
The barrier to entry is lower than most people think. You don't need a technology background. You need a problem worth solving and the willingness to try. Learning together compounds. And people don't adopt tools they fear or that feel like more work. The most effective AI advocates in the Lorignite series led with curiosity and specific examples, not abstractions.
For Global Mobility professionals figuring out where to start: begin with something that would bring you relief. Then share what you found.
Benivo has already done the work for Global Mobility
While the broader world of work is still figuring out how to apply AI, Benivo has built it directly into the platform Global Mobility teams use every day.
Benivo's award-winning Mobility Intelligence (MI) handles up to 80% of employee questions instantly, so teams stop being the first call for every policy query. The Immigration Estimator delivers visa assessments with 99% accuracy in 90 seconds, sourced from official government websites, replacing a process that previously took two working days and carried external fees. The Tax Residency Optimizer identifies optimal move dates based on tax residency rules across any country combination, surfacing savings opportunities in seconds that would otherwise require hours of manual analysis.
These are not future capabilities. They are live, purpose-built for mobility, and included in the platform today.
If the conversation in this series resonated, the next step is seeing what AI looks like when it is built specifically for your program. Get in touch with Benivo to find out.
.jpg)