In this insightful episode of CX Today, technology journalist Floyd welcomes Brian John Johnson from TechSee to tackle a critical challenge facing enterprises: how dirty data undermines AI implementations. Drawing from his motorcycle journey analogy, Johnson emphasizes that successful AI deployment requires trusted, verified, and timely data sources—just as safe riding demands accurate weather reports and reliable route information.
The conversation reveals that many organizations rushing to implement AI, particularly agentic AI, are discovering their data infrastructure isn’t ready. Johnson advocates for the 80/20 rule: tackle the biggest customer-facing problems first, such as warranty claims or support issues, before attempting comprehensive automation.
TechSee’s innovative approach combines visual AI with omnichannel support, enabling customers to simply take a picture of their problem—whether it’s a router setup issue or TV error code—and receive guided resolution steps. This visual verification method reduces support calls from seven to just one, dramatically improving customer satisfaction and operational efficiency.
The key takeaway? Before investing heavily in AI, enterprises must first ensure their data is clean, trusted, and properly organized. As Johnson notes, “We don’t just see the problem, we can see the solution.”
