Governing AI in the Workflow: Why role-based access, guard rails and cost controls belong inside the systems where people and agents work.
Alan Moore argues, from years of transformation work in consulting, e-commerce and call-centre operations, that most companies govern AI in the wrong place. The usual approach puts controls around…
Continuous AI Transformation: Why AI programs need ongoing governance of agents, processes, models and costs after launch.
Alan Moore brings SaaS-building experience and corporate transformation work at Accenture and T-Mobile to argue that AI changes the consulting model after launch. Most consulting still works toward…
Controlling AI Operating Costs: What a $2,000 token bill reveals about monitoring usage, exceptions and human review.
Alan Moore draws on years in call-centre operations and transformation, including Accenture and T-Mobile, to explain a client case where a $2,000 month was traced to three contacts creating 98% of…
Finding Hidden AI Use: How leaders move from experimentation to controlled AI operations.
Alan Moore argues from experience building AI-native SaaS businesses that the first AI risk is not the model, it is the moment leaders realize everyone is already using it. Alan's own trigger came…
Redesigning Roles for AI: How an honest conversation about junior roles turned job fear into capacity for a third product.
As co-founder and CEO, Alan Moore took RANDEMRETAIL through an AI program that opened with something most leaders avoid telling engineers: junior developer roles, in the old sense, no longer exist.…
AI Agent Oversight: What a three-month delay in spotting an agent's access to health data shows about monitoring AI at work.
Alan Moore put out a press release on the Australian Medicare incident, where it took three months for anyone to learn that an AI agent had accessed Medicare data. Most organisations assume their AI…
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