Aicadium

Most AI governance policies are written for the organisation and read by nobody at the moment of use. A policy states that AI may support decisions and humans must make them. It does not tell an HR generalist, holding a spreadsheet at 4pm on a Thursday, whether to upload it. That gap is where responsible … Read more

When agents take over the coding work of building software, the first number most leaders look at is team size. The more useful thing to look at is what each person on the team now spends their day doing, because that is where the real change happened when we rebuilt our own teams. We did this … Read more

You have read the claim by now, probably more than once. “One person with AI agents can do the work of an entire team.” It appears in headlines, in conference keynotes, in articles that get forwarded around. The multiplier shifts depending on who is writing; sometimes it mentions the work of four people, sometimes ten, … Read more

Most organisations have already bought the tools, and their teams are actively using them. Individuals appear noticeably more efficient. However, it’s still unclear whether the organisation as a whole is delivering better software sooner. The main cause is often that no one has determined which tasks should be handled by agents and which by people. … Read more

Most enterprises have completed the initial, simpler phase. Licenses are purchased, AI tools are in use, and many report increased speed. However, when asked what tangible results the company has achieved, the room falls silent. The honest answer is that faster people and a faster company are not the same thing. Individual productivity has increased … Read more