How should my company start using AI?

Most newly formed businesses today are starting with an AI-native infrastructure. To compete, established organizations need to play catch up, and fast.

If you could reimagine your entire engineering & product workflow with AI, what value would potentially be unlocked?

Dom & Tom ran through this exact question ourselves and the case was clear. After seeing the industry shifts and advances in AI tooling, we made the leap to transform our own SDLC into an AI-native, operationalized playbook or risk getting left behind. We’ve just completed the transition and have already reduced our delivery time by 20%.

Here’s how we got started on our AI-native SDLC journey:

1. Drafted use cases for our SDLC (5-10 to start) with metrics for impact. 

2. Built the infrastructure & ran a pilot for one use case on a client project.

3. Adjusted & optimized over 2 sprints (4 weeks). 

4. Operationalized pilot use-case.

5. Repeated steps 1-4 until all of our SDLC practices had AI operationalized.

Pro tip: Bring your team along with you to train and maximize their adoption once rolled out.

Need help? Understanding the steps involved to be ready for AI-native workflows can feel like a lot. We break it down into simple steps.  Book a free consultation.