How to get started with AI
Choose one specific task, test it with examples from day-to-day work and find out whether AI is worth developing further.
Read the articlePractical guidance
These articles explain how to find a task where AI may help, test the system with your own examples and decide what must be in place before employees or customers start using it.
Eight places to begin
Choose one specific task, test it with examples from day-to-day work and find out whether AI is worth developing further.
Read the articleHow to identify and assess work that may benefit from AI, then choose a first use case that is useful, testable and responsible to try.
Read the articleA practical way to describe the people, sources, judgements and exceptions an AI system must account for.
Read the articleHow to build and test an AI prototype that shows how the system works in practice, including missing or conflicting source material.
Read the articleA practical guide to creating test cases, choosing measurable quality requirements and tracking errors before and after employees start using an AI system.
Read the articleWhat an organisation must clarify about information, access, suppliers and accountability before employees or customers use an AI system.
Read the articleHow to turn a promising AI pilot into a system that fits day-to-day work, handles failure and continues to be maintained.
Read the articleA practical guide for teams that want to understand current AI use, agree clear boundaries and share methods that produce more consistent quality.
Read the articleAbout these articles
Axel Ferdinand Giæver has worked with strategy, UX, design, prototyping and development since 2010. He uses AI throughout product work, including research, analysis, design, code, testing and quality assurance.
The articles are for organisations that want to try things themselves. They also explain when to involve specialists in design, development, security, privacy or law.
Talk to Axel