AA meets AI - how the UK Automobile Association is motoring with ChatGPT
The AA (Automobile Association) is one of the UK's largest roadside assistance and motoring services providers with over 14 million members. It had been experimenting with generative AI for twelve months, but without a coherent model for adoption, application, or measurement. Recently, however, it has…
It had been experimenting with generative AI for twelve months, but without a coherent model for adoption, application, or measurement. I don’t look at organizational maturity because you need to look at the right joining point for everybody, so we provide different levels of.
With the AA, the majority of people attended Level Zero training and I wasn’t expecting this but we provided people with the option to drop it, if it was repeating things they already knew. The viewpoint for training has to be that this thing.
What Happened
The key to overcoming a lot of fears is to choose the right initial use cases that are carefully defined but to also create an environment where people can get it wrong sometimes. You also, of course, need the right guardrails and.
The AA (Automobile Association) is one of the UK's largest roadside assistance and motoring services providers with over 14 million members.
Recently, however, it has rolled ChatGPT Enterprise out to 1,500 people.
This is all part of the new way of working because it can enable each person in the organisation to free up 10% of their time to innovate.
Key Details
Prior to the hackathon we provided a custom GPT training session and sent out some pre-reads explaining the level of knowledge that would be gained by taking the challenge. We got so many submissions that we had to use qualification criteria to.
What you can do is teach a core set of personal capabilities and give people the confidence and freedom to go away and experiment.
You can’t really teach anybody how to use these tools for their particular job – the nature of them is they’re so multi-faceted, and everyone’s job is so different.
You have to be careful your stats are not being skewed by the early adopters, and you have to track what features are being used: GPT, Chats, Codex and how many tokens are being.
Why It Matters
Within the hackathon, we look at parts of that process using the knowledge and experience of the staff in that area and help them apply the technology. Tew advises deploying the most universal use case as the best starting point to get.
In terms of metrics, we are monitoring creative and repeat uses, as well as return uses so that teams that feel disconnected do not get left behind.
Champions are necessary to keep this process going.
What Reports Say
Coverage of the story so far points to:
Continued reporting by diginomica as more details emerge
