- Your Apple CarPlay is getting a big update: 3 useful features coming with iOS 26
- I changed 8 settings on my Motorola phone for an instant battery boost
- Your car's USB port is more useful than you think. 5 features you're missing out on
- Anubis Ransomware Adds File-Wiping Capability
- Liderar en la era de los algoritmos: un desafío para el CIO actual
The AI-native generation is here. Don't get left behind

Beyond the technical component, remember that when you transition into an AI-native company, you are not stacking AI on top of your existing tech stack but weaving it into your entire technical architecture. Doing so requires human influence. Therefore, before you initiate AI adoption at your organization, clearly define your team’s roles and responsibilities. Make sure you assign someone to lead the technical implementation efforts, as well as someone to lead the human enablement of adopting the new workflow.
4. Refine and iterate
While artificial intelligence automates many tasks, and the future of the technology is one where AI works alongside humans to drive productivity, you cannot treat AI as a set-it-and-forget-it solution. Before you “turn on” AI for your business, determine a set of benchmarks you will use to measure its impact. These metrics could include cost savings, response rates for customer inquiries and/or time savings. Use these metrics to ensure the AI is providing the ROI you expected. Then, refine and iterate based on the results.
Embrace the AI-native future
Transitioning to an AI-native organization represents a fundamental shift in your everyday processes. As with the adoption of any new technology, the change will feel unnatural at first, and there will be challenges along the way, but if you stay focused and determined, the result will be well worth the effort.