Insights & Articles
Practical signals on what it takes to turn AI interest into useful, safe, repeatable capability.
Practical signals and longer-form writing on AI capability
Many teams have moved past AI curiosity. The harder question now is whether AI use is becoming consistent, safe, useful, and repeatable.
We track the signals that show where AI adoption is becoming useful, where it is getting stuck, and where unmanaged use can create risk.
Selected notes are short observations from events, training conversations, research, security discussions, and operational examples. Articles explore adoption, governance, workflows, and risk in more depth.
What we are watching
Short observations on the signals that matter for practical AI adoption.
From hype to habit after Microsoft AI Tour Sydney
The useful question after a major AI event is not whether the tools are impressive. It is whether teams can turn the energy into repeatable habits, better prompts, clearer judgement, and safer everyday use.
What AI training changes in day-to-day work
Employees with AI training report higher efficiency, 76% compared with 56%, and more revenue-generating activity, 55% compared with 34%. The signal is simple: access to tools is not enough. Capability has to be built.
NanoSec.Asia #ParallelPulse 2025
AI adoption is also a security and governance conversation. NanoSec.Asia #ParallelPulse 2025 is a useful marker for how organisations are thinking about cyber risk, resilience, and responsible AI deployment.
dontfail.ai as a field project
dontfail.ai is a related field project for plain-English conversations about where AI use goes wrong, where it creates value, and how teams can keep the discussion grounded in real work rather than hype.
Longer-form articles
Longer-form pieces on the practical, organisational, and security questions behind useful AI adoption.
AI beyond the hype: field notes
Field notes on moving beyond AI noise and focusing on practical capability, useful adoption, and work that can be repeated.
The real GenAI adoption challenge
A practical look at why access to tools is not the same as adoption, and why teams need shared skills, judgement, and usable workflows.
Productivity, not parlour tricks: GenAI workflows
Why useful AI adoption depends on repeatable workflows and business outputs, not one-off tricks or impressive demonstrations.
The Distributed Query Attack
Why harmless-looking AI prompts can become a security risk when they are spread across sessions, users, and time.
Read the articleBlast radius graph: agentic AI security
A practical security lens on agentic AI, connected systems, and how organisations should think about exposure, impact, and control.
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Turn these ideas into a practical training path
Use a scoping conversation to identify where your team is now, what is getting in the way, and whether Module 1, a half-day session, or a broader training pathway is the right fit.