Perspectives
On the AI operating model
Short, direct answers to the questions we hear about building, governing and owning AI inside a business.
4 min read#Sports#Operating modelEvery winning sports organisation will run its own AI
Every sports organisation can buy the same AI tools, so the tools are not the advantage. The organisations that win will own the layer above them: their context, their governance and digital teammates doing real work, so every season builds on the last.
ReadSamuel RoachCofounder, Ninjafy
4 min read#GovernanceAPP 1.7 to 1.9 explained: the 10 December 2026 automated decision deadline
From 10 December 2026, if AI or any other software uses personal information to make, or substantially shape, a decision that could significantly affect someone, your privacy policy must say so: which kinds of decisions, and which kinds of personal information.
ReadBrad BondCofounder and CTO, Ninjafy
5 min read#Buying guideWhich AI agent platform is right for your business?
Choose an AI agent platform around the work you need done, what you keep when the contract ends and the value left after every cost. Compare providers on ownership, compounding learning, business impact, teamwork, routines and control, then ask each one for the same six demonstrations.
ReadSamuel RoachCofounder, Ninjafy
8 min read#Operating model6 foundations winning businesses will not compromise on
Winning businesses recruit AI teammates around six foundations: multiplayer collaboration, enforced governance, compounding learning, proactive routines, ownership of business intelligence and measurable impact. Together they turn a model subscription into compounding business capability.
ReadSamuel RoachCofounder, Ninjafy
2 min read#Operating modelThe model sets the price. The operating model sets the yield.
Everyone can buy the same frontier model, so the model itself is no advantage. The yield comes from the operating model you wrap around it: your context, your governance and your long-running agents.
ReadSamuel RoachCofounder, Ninjafy