Senior Salesforce Architect and Enterprise Technology Leader. Writing about AI governance, platform architecture, and enterprise technology leadership.
Semantic Models
AI agents can access more enterprise data than ever. Semantic models address the harder problem: giving that data consistent, governed business meaning that agents can understand and use.
AI Agents
Rogue AI agents are a legitimate concern, but fear alone isn't a strategy. The enterprise challenge is learning how to increase AI autonomy without allowing governance and control to fall behind.
Agentforce
Salesforce is moving beyond the individual AI agent toward a composable agentic platform where experience, agency, reasoning, enterprise capabilities, context, and trust operate as distinct architectural responsibilities.
Salesforce
Salesforce’s Koa announcement is bigger than a new CRM reasoning model. Together with Claudeforce, AWS Bedrock, Gemini Enterprise, and AIforce, it reveals a future in which models become configurable while data, governance, context, and architecture determine enterprise success.
Context Documents
Context Documents provide a common language that connects business stakeholders, architects, developers, support teams, and AI systems. As organizations adopt AI at scale, Context Documents may become the foundation of a new System of Record for Knowledge.
Enterprise AI
Claudeforce may be more than a new AI integration. By combining frontier reasoning, enterprise context, and governed business actions within a trusted environment, it may be signaling a shift toward AI-ready business capabilities.
Technology Leadership
Why sustainable excellence is built through operating models, not projects. The strongest technology organizations do not treat excellence as a destination. They build it into the way they operate. Every technology team I have worked with was excellent at starting projects. Far fewer were excellent at sustaining excellence once the