How and Why We Use AI in Our Work

AIPOLICY

7/21/20262 min read

We use AI in two ways: as a research aid and as a writing aid.

Like a search engine, a calculator, or a word processor, it helps us work more efficiently. It can suggest avenues for research, connect ideas, summarise large volumes of information, and help produce early drafts. At times, it also contributes observations drawn from patterns in its training data that we may not have considered ourselves.

But we use AI only as a productivity tool, not as a substitute for human judgment.

Everything we publish gets produced by human labour. AI assists our process; it does not determine our conclusions. We decide what to keep, what to discard, what is useful and what ultimately represents our views.

We may use AI to help draft text, refine language, summarise information, speed up repetitive writing, or refine web searches, much like using any other word processor or search tool for writing and research. These tools make work more efficient, but they do not replace the thinking behind it.

We do recognise that today's AI systems raise legitimate ethical questions about how training data was collected, why creators were not fairly compensated, and how legal and commercial frameworks can keep pace with the technology. As a business, we share these concerns and will focus on them in our work. We do not dismiss them, nor do we regard the existence of these tools as sufficient justification for using them without reflection.

At the same time, we believe that refusing to use widely available AI tools would do little to address those underlying problems. Our mission is to help build a healthier business ecosystem—one that is more sustainable, more ethical, and more accessible. We believe we can contribute more effectively to that mission by using AI carefully, transparently and with clear human accountability than by refusing to use it altogether.

Technology should remove unnecessary effort where it genuinely helps - this is the reason humanity has progressed, since our earliest tools.

Businesses outside the AI industry do not have to choose between rebuilding their company around AI or rejecting it completely. They can use it where it saves time, keep humans responsible for the final work, and not outsource their crucial decision-making.

We cannot advocate for broader participation in the business world while dismissing an emergent technology that has the potential to give people the chance to ease their workflows.

None of this is being presented as the most ethical position possible, nor as a strategic compromise to celebrate. It is a practical choice made in service of a broader goal. We would rather use these tools responsibly while advocating for higher standards in business and technology than leave them entirely to those who may not share those goals.

This approach will evolve as AI evolves. As better AI systems, licensing models, and industry standards emerge, our own practices will evolve with them. We see AI as something to be governed responsibly—not embraced uncritically, or rejected in its entirety.