AI in delivery: embedding quality and ethics in generative workflows

Theme: Thoughtful discovery  |  Efficient delivery | AI and beyond  

AI is reshaping how we design, write and deliver content, but how do you stay agile when your tools can generate faster than your teams can review?

This session will share lessons from an AI delivery spike exploring how to embed quality assurance, accuracy and ethical checks directly into generative workflows. It will look at practical ways to balance experimentation with accountability, using delivery frameworks that keep humans in the loop without slowing innovation.

You’ll leave with a real-world view of how agile teams can adapt to AI, integrating standards, governance and ethics into everyday delivery rather than bolting them on at the end.

Participant takeaways:

• Design agile workflows that embed QA and ethics checks
• Balance experimentation with accountability
• Bring together multi-disciplinary teams (content, data, engineering) around shared quality criteria
• Keep AI experiments transparent, measurable, and human-centred

This session is for: 

Anyone who wants to move beyond “playing with prompts” to building sustainable, responsible AI delivery practices.