AI Transformation Executive | Enterprise AI Strategy | Responsible AI Governance | Cloud, Cybersecurity & Automation | Turning AI into measurable value
7/ I've run hybrid cloud environments where "free" flexibility quietly cost more than a deliberate single-platform commitment would have. The mistake isn't choosing depth. It's choosing it by accident, or avoiding the choice and calling that a strategy.
1/ Salesforce made Claude the default reasoning engine across its whole ecosystem this week. ~$300M in Anthropic tokens, on top of an existing $300M equity stake. CRM stock jumped 12-14% after hours. Reply and I'll send you my AI Executive Daily Brief.
6/ If it's the second case: commit on purpose. Price the 18-24 month exit cost before you sign, not after. Build monitoring triggers for pricing changes, performance regressions, governance incidents. Name an owner for that monitoring.
7/ I built a zero trust program on one rule: verify authority, don't assume it from a title. Same applies to advice. A lab's Elite Partner isn't automatically wrong, just not automatically independent. Your governance should treat that as a fact to manage.
1/ OpenAI just acquired Tomoro, the AI consultancy that grew up alongside it, as the founding move of its new $14B Deployment Company. The model company became the services company. Reply and I'll message you my AI Executive Daily Brief.
6/ Before your next AI engagement, ask three questions: Does your firm have a paid partnership with a specific lab? Would the recommendation change if a rival model performed better? Who reviews it who isn't paid based on which vendor wins?