IAG Prepares Software Engineering for AI

Insurance Australia Group (IAG) has started working on ways to make its software engineering functions more AI-driven, beginning with the way it builds and manages its APIs.

API Management and AI

The general insurer, which currently underwrites $17 billion worth of premium insurance in Australia and New Zealand, is in the midst of a transformation project to integrate multiple platforms across the organisation’s brands to improve governance and chase out cost.

Speaking at Salesforce’s Agentforce World Tour Sydney event, the insurer’s head of integration Lloyd Thomas said that, as a result of the transformation, the organisation had deployed Mulesoft’s Anypoint API Experience Hub integration platform and is now trying to move around 600 APIs onto the platform.

Streamlining Software Development

One of the business cases that stood out, he said, is to streamline its software development functions by instituting a change in mindset across its engineering divisions to one that accommodated more use of AI prompt-driven skills.

Thomas said he had been inspired by the OpenClaw agentic personal AI assistant after spending a weekend playing with it.

However, he said that the exercise highlighted the challenges that regulated organisations like IAG face with agentic AI.

Challenges and Opportunities

Thomas said that the company’s API platform migration was partly inspired by the need for a single view of its APIs, following the open banking initiative which started mid-2020.

The Optus data breach which occurred later that year and involved an unauthenticated API endpoint which was exposed to the public internet served to reinforce the business case for the project, he said.

Having established strong data governance controls using MuleSoft’s platform, Thomas said IAG is eager to ensure that they survived the transition to agentic AI, whatever approach the insurer took.

Next Evolution

But [the question] for me now is how you make these APIs agent aware. I think it’s the next evolution and that’s going to be a massive unlock for digital experiences and how that’s going to change in the future.

Therefore, IAG is preparing its software engineering for AI, which will unlock a lot of capacity and change the way the company builds and manages its APIs.

Conclusion

In conclusion, IAG’s preparation of its software engineering for AI is a significant step towards improving its governance and reducing costs.

Meanwhile, the company’s use of AI prompt-driven skills will streamline its software development functions and unlock new opportunities for digital experiences.

Finally, IAG’s transition to agentic AI will require careful consideration of the challenges and opportunities that come with it.

Frequently Asked Questions

1. What is IAG’s goal in preparing its software engineering for AI?

   IAG’s goal is to streamline its software development functions and unlock new opportunities for digital experiences.

2. What is the focus keyword for this article?

   The focus keyword for this article is “IAG AI”.

3. What is the significance of IAG’s API platform migration?

   IAG’s API platform migration is significant because it will provide a single view of its APIs and improve governance.

4. What are the challenges that regulated organisations like IAG face with agentic AI?

   Regulated organisations like IAG face challenges such as ensuring safety, trust, and reliability when using agentic AI.

5. What is the next evolution for IAG’s APIs?

   The next evolution for IAG’s APIs is to make them agent aware, which will unlock new opportunities for digital experiences.