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mAI Current Thinking
AI marketing systems, evidence and implementation
Research, analysis and practical guidance on the AI Marketing OS, AI Marketing Brain, Human Command, governance, GEO, measurement and the operating decisions behind applied AI marketing.
Use the articles to go deeper on specific problems while keeping the broader mAI Framework, architecture and evidence model in view.
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Social Media AI for Healthcare: Governed, Personalized, Human-Led Patient Outreach
July 8, 2025
2 min
Editor’s note, updated September 2026: Healthcare AI marketing requires implementation-specific privacy, security, legal, and organizational controls. This article has been updated to remove blanket compliance claims and align with the mAI Evidence Methodology. Healthcare outreach requires governance by design.…
AI Content for Manufacturing: Supporting Complex Sales Cycles with Better Context
June 30, 2025
4 min
Editor’s note, updated September 2026: Manufacturing content must translate technical expertise across long buying cycles, distributor relationships and sales enablement. AI can improve workflow productivity, but claims, specifications and brand-critical content require reliable source context and human validation.
AI for eCommerce: From Product Data to Precision Marketing Decisions
June 24, 2025
3 min
Editor’s note, updated September 2026: eCommerce AI can connect product, customer, media and lifecycle signals, but useful precision requires consent-aware data, reliable measurement and governance. The mAI model turns those signals into contextual recommendations rather than treating personalization as automatic.
AI Marketing for Tech Growth: Context, Governance and Measurable Performance
June 17, 2025
4 min
Editor’s note, updated September 2026: Technology companies often have abundant data and automation but still struggle with fragmented marketing execution. This article has been reframed around mAI’s AI Marketing OS + AI Marketing Brain architecture, where shared context, governed workflows and KPI-based optimization support more coherent growth decisions.
Why Enterprises Need Context, Governance and an AI Marketing Operating Layer
June 9, 2025
2 min
Editor’s note, updated September 2026: This article has been revised to reflect the current mAI architecture and Evidence Methodology. Generalized performance, compliance, security-certification, and unsupported customer-result claims from the earlier version have been removed. The enterprise AI problem is increasingly…
AI at the Speed of SaaS: Growth Needs Orchestration, Not More Automation
June 2, 2025
4 min
Editor’s note, updated September 2026: SaaS marketing teams can use AI to accelerate research, content, lifecycle and performance workflows, but speed without coordination creates more operational complexity. The mAI approach adds an operating layer and decision layer so AI work is contextual, governed and measured against pipeline and retention outcomes.
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