JMacTech methods are proprietary models developed by John Mackenzie to structure complex problems across cybersecurity, AI, digital growth, product development, work systems, and organisational risk.
They are designed to help people and organisations see what is normally hidden: weak signals, structural gaps, decision blind spots, behavioural patterns, and system-level risk. Only high-level summaries are published here. The internal logic, scoring structures, assessment pathways, and implementation details remain protected.
Overview
The JMacTech method library supports the design of apps, research, articles, advisory concepts, and practical decision tools. These methods are used to convert complex cyber, AI, product, work, and digital growth problems into structured pathways that can be assessed, explained, and acted on.
The public descriptions are intentionally brief. They explain the purpose of each method without giving away the underlying intellectual property.
Method Families
Methods for assessing whether cyber decisions, governance structures, controls, and evidence pathways are reasonable, traceable, and defensible.
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Methods for identifying early indicators of cyber weakness, organisational fragility, and patterns that may precede visible cyber failure.
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Methods for capturing, organising, and interpreting public-facing signals across organisations, markets, cyber events, governance activity, and strategic risk.
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Methods for turning early-stage app ideas into structured product concepts, feature maps, user journeys, and build-ready specifications.
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Methods for improving visibility, traceability, and human oversight of AI-agent activity and AI-enabled workflows.
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Methods for structuring digital visibility, search assets, web presence, and low-cost traffic infrastructure.
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Methods for helping individuals understand and reduce their personal cyber exposure, behavioural risk, and digital hygiene gaps.
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Methods for structuring priorities, tasks, knowledge, execution, and personal operating rhythms.
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Methods for helping people reflect, prioritise, decide, and act through structured prompts, card-based interfaces, and guided insight flows.
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IP Protection
The Methods page is designed to show the existence, purpose, and application areas of John Mackenzie's methods without publishing the internal mechanics. The public site creates credibility and interest without giving away the operating system behind the work.
Not Published
JMacTech methods support the development of apps, research, articles, product concepts, and practical decision tools across cyber, AI, work, and digital systems. For selected opportunities, John Mackenzie may discuss method application, productisation, research collaboration, or build partnerships.
