Enterprise AI • Salesforce Transformation • Enterprise Architecture
Transformation Executive • Enterprise Strategist • Agentic Engineer
David Stott helps organizations turn enterprise AI, Salesforce, data, and integration strategies into operating results. As a Salesforce AI Forward Deployed Engineer, he combines executive transformation leadership with hands-on architectural depth across Agentforce, Data Cloud, MuleSoft, and complex CRM programs.
Selected Transformation Evidence
Complex enterprise challenges require more than strategy—they require execution.
Program Recovery
Recovered a delayed, over-budget Salesforce transformation by resetting architecture, governance, DevOps, vendor strategy, and delivery controls.
Platform recovery supporting approximately 1,300 users.
Review the evidence →Enterprise Consolidation
Led the consolidation of six Salesforce organizations into a more coherent enterprise platform and operating model.
3,200-user enterprise consolidation.
Review the evidence →Enterprise AI
Connected prioritized business use cases, governance, deployment, adoption, and operating-model change for agentic AI.
$500K AI pilot revenue impact.
Review the evidence →Higher Education
Connected CRM, service, analytics, portals, marketing, and integration across a broad institutional transformation.
Approximately 100-person delivery organization with multiple partners.
Review the evidence →Enterprise Leadership
Strategy, architecture, and execution across the enterprise transformation lifecycle.
Prioritize business use cases, readiness, governance, adoption, and operating-model change so AI investment can move toward measurable results.
Treat Salesforce as an enterprise capability spanning platform direction, data, governance, delivery, adoption, and value.
Connect Agentforce, Data Cloud, MuleSoft, CRM, and enterprise systems through architecture grounded in business capability and durable integration.
Restore confidence through clearer decision rights, delivery controls, partner alignment, platform ownership, and executive accountability.
Published Thinking
Business-first perspectives on AI, Salesforce strategy, enterprise architecture, leadership, and measurable transformation.
Enterprise AI
AI initiatives often stall because strategy, leadership, process, governance, and data conditions remain unresolved before technology becomes the primary constraint.
Read the InsightEnterprise AI
Enterprise AI becomes viable when leadership, governance, process, data, and adoption are ready to support accountable use.
Read the InsightOperating Model
Automation creates durable value when leaders simplify work, clarify ownership, and define outcomes before accelerating the process.
Read the InsightExecutive Conversation
Connect with David to discuss enterprise AI, Salesforce transformation, platform recovery, or executive advisory needs.