AI methodology and governance
How to assess, prioritize, and govern AI projects in midsize companies: roadmaps, committees, policies, change management, and compliance.
5 signs your company isn’t ready for AI
Without a business case, accessible data, or a project owner, AI fails. The 5 warning signs, the risk of each, and how to address them in weeks.
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From pilot to production: why 80% of AI pilots die
MIT measured that 95% of AI pilots have no impact on results. The real causes, the difference between a demo and production, and how to design pilots that actually scale.
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How to tell if ChatGPT recommends your brand (a 5-step method)
Practical method for auditing your citations in AI engines: define 10-15 prompts the way your customer would, run them in ChatGPT, Perplexity, Gemini, Claude, and AI Overviews, record mentions and competitors, and repeat
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SEO vs. GEO vs. AEO vs. AIO: Differences and When to Use Each
SEO ranks in search results; AEO optimizes for direct answers; AIO targets Google AI Overviews; GEO seeks citations in ChatGPT, Perplexity, and Gemini. They aren’t alternatives: they’re layers of the same system, and the
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Generative AI Policy: A Prescriptive Guide for Businesses
How to draft an actionable generative AI use policy. Five required sections, sample language, LFPDPPP, NIST AI RMF, and an audit for the Mexican mid-market.
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How to Build an AI Committee: Roles, Composition, and Governance
Practical guide to establishing an effective AI committee: 5 non-negotiable roles, profiles to exclude, a minimum charter, and operating routines for the Mexican mid-market.
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What is an AI roadmap for a company
An AI roadmap is a decision-making system under uncertainty that balances value, technical feasibility, and organizational maturity. How to structure it by horizon.
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How do you know if your company is ready for AI?
Assessment across 5 dimensions: data, processes, leadership, and culture. Identify whether your company needs AI or prior enablement work.
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