Writing on AI, CRM and enterprise architecture.
A collection of articles and posts on AI strategy, governance and CRM, originally published on LinkedIn. Each one links back to the original post to read in full.
AI success isn't measured by token volume, but by the business value each token generates. The right model for the task, well-designed prompts, and prompt caching all compound into real cost and ROI advantages.
Read the articleYour AI is only as intelligent as the data, processes and business knowledge it can access. Before investing further in models and agents, invest in data strategy — AI maturity follows data maturity.
Read the articleAI that writes improves productivity. AI that works transforms business. A look at the distinction enterprises need to make to actually win with AI.
Read the articleWhy innovation, not access to AI itself, is the ultimate competitive advantage in the age of AI, and how leaders can stay ahead.
Read the articleTraining a large model can use over a thousand megawatt-hours of electricity. A look at AI’s environmental costs, and how organizations can pursue AI progress responsibly.
Read the articleAs CRM platforms embed AI across the customer lifecycle, the regulatory, ethical and privacy stakes rise fast. A practical look at the EU AI Act, US FTC guidance and India’s DPDP Act, and how CRM teams should respond.
Read the articleA practical breakdown of where prompt engineering earns its keep inside CRM: customer service, personalization, lead qualification, analytics, training and marketing, each with a concrete example prompt.
Read the articleLLM hallucinations can’t be eliminated — but they can be significantly reduced and managed. Enterprise RAG grounds AI responses in relevant, verified data through retrieval, citations and guardrails. Benchmarking for accuracy, citation quality and relevance is essential before production. Trusted AI comes from better retrieval, stronger grounding, continuous evaluation and monitoring.
Read the articleIf any of these resonate with a problem you're facing, let's talk about what it looks like for your organization.