How did you train Ask AT&T?
We’ve made it really smart in AT&T terms. It understands our company. And when we talk about accuracy, which is a big thing that we use to see how we’re doing, the accuracy is off the charts, because we’ve made it smart on how AT&T works. If you took a model off the shelf, it doesn’t matter if it’s the best model from Open AI, the best model from Google. It doesn’t matter. It’s only going to know so much about AT&T, and how we work and how we operate. But by making it smart, now we’re able to get accuracy rates that are human-level accuracy rates.
OK, AI is running throughout your organization—how about within marketing?
We’re definitely using AI throughout the marketing process. There are traditional AIs embedded throughout how we market. There is also work around customer journeys and how we think about journeys in the future will be even more AI-enhanced.
If we use generative AI to help us with the creative for a campaign, we still will have a human verify that we have the right information, that it’s appropriate for the consumer, for the given campaign, for the given use case.
(An AT&T representative added that AI also factors into the company’s programmatic and digital advertising strategy. “AI-driven audience discovery and performance analysis tools have made it easier for marketers to generate insights and evaluate campaign effectiveness using natural language queries,” the representative said by email. “AT&T is also testing and exploring how text and image generation could accelerate campaigns and enable tailored messaging for different audience segments, languages and formats.”)
What are you excited about developing through AI?
We’re spending a lot of time on agents, breaking down a bigger problem into smaller problems, and creating a certain set of skills for these agents that are reusable across the company. We think there’s a lot of benefit there in solving really complex use cases that people thought were unsolvable with.
What AI use case has been effective within AT&T?
We spend so much effort and capacity on developing software, and the entire software development life cycle at AT&T is being reimagined with generative AI at the center. It’s agent-driven, from the user story [at the start of the coding process] on down, everything else is driven off of generative AI and automation, with humans in the loop, of course. It’s helping increase the efficiency of software processes between 20% and 40%.
How did AT&T go about launching AI across the company?
This is not just a science project. This is about driving true bottom-line business value. I’m on the technology side of the organization, but we worked with our partners on the business side of the organization, and we created what we call a generative AI transformation office, and we funded that office, and that office works with the CFOs across the company. As we bring use cases to the office, they will run a detailed business case, and then we prioritize the business cases that we have across the firm to ensure that we’re working on the ones that drive the most value for the company. And then that’s what we as technologists work on.
The magic of the playbook is that these are not just proof of concept. These are very intentional investments in how we can invest in processes that can change the way AT&T operates that really drops to the bottom line, and we ran that entire play this year. We’re going to run it again next year as well. In a year, we have two times the return on the dollars that we’ve invested, and we expect that to grow.