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
Recommendation: Stop treating Agent projects as platform installs and start treating them as business redesigns. Most deployments stall because leaders scale technology without clarifying the business decision the Agent must support, naming accountable owners, redesigning the work it will change, and establishing proportionate governance and measures. Use an Executive Friction Report and the Enterprise AI Maturity and AI Governance frameworks to convert repeated deployment failure into a sequenced set of accountable decisions. Immediate actions: classify every Agent use case by decision role and risk; assign one business owner for each material outcome; run a 30/60/90-day Executive Friction sprint to remove launch blockers; and require an enterprise readiness RAG before any production rollout. These changes reduce wasted spend, shorten decision cycles, increase adoption, and make outcomes auditable.
Read the InsightEnterprise Ai
Do not grant autonomous agents authority until data, schemas, and permissioning are demonstrably fit for the decisions those agents will make. Machine-speed action amplifies data errors into operational, financial, and regulatory harm. Treat readiness as an enterprise decision: name accountable owners, enforce schema and lineage controls, tier action authorization by risk, and require measurable evidence before moving from recommendation to action.
Read the InsightEnterprise Ai
Leaders routinely rush to platform choices—Salesforce editions, third-party apps, or generative AI—before they understand the operating friction that prevents value. Start by making friction visible: name the business outcome, inventory recurring delays and rework, and assign single accountable decisions. Use a short evidence-driven readiness path (friction inventory → root diagnosis → sequence decisions → prepare or pause) so platform selection follows the operating fixes it must enable. This reduces waste, shortens decision cycles, and increases the probability that technology amplifies human judgment rather than accelerating broken processes.
Read the InsightExecutive Conversation
Connect with David to discuss enterprise AI, Salesforce transformation, platform recovery, or executive advisory needs.