Salesforce + AI
7 sessions, 1 articleAgentforce, BYOM, AI governance, prompt engineering, and real-world implementation stories from the enterprise floor.
Why AI Pilots Fail—and How to Pick the Use Cases That Don't
Most AI pilots fail because teams chase the wrong use cases. This session breaks down a simple framework for identifying high-value, immediately achievable AI opportunities that don't require months of training data—and how to avoid the hype trap that killed blockchain, web3, and every other trend.
Build Your Salesforce AI Roadmap: The Crawl-Walk-Run Framework
The final session of Enterprise Dreaming synthesizes everything you've learned about AI into an actionable roadmap. Using the crawl-walk-run framework, learn how leading enterprises move from experimentation to scaling AI across sales, service, and customer-facing operations.
AI-Driven Personalization Without Breaking Compliance in Financial Services
Financial services leaders face a paradox: deliver Tesla-Starbucks-Apple-level personalization while managing GDPR, CCPA, and regulatory scrutiny. This session walks through concrete use cases—advisor co-pilots, sentiment analysis on claims, account 360 views—showing how to mask sensitive data before feeding it to AI, maintain compliance, and actually keep customers.
AI and Health Cloud: Keep Humans in the Loop
Healthcare providers face mounting documentation burden, staffing shortages, and pressure to do more with fewer people. This session reveals where AI actually delivers value in Health Cloud—patient care plan summaries, clinically informed marketing, and case management automation—while highlighting the critical importance of keeping humans in the loop for clinical safety and regulatory compliance.
Sales Cloud + AI: Reclaim the 72% of Rep Time Trapped in Admin
Sales reps spend only 28% of their time actually selling. The other 72% gets swallowed by data entry, customer research, quote generation, and admin work. This session exposes the time trap and demonstrates how Sales Cloud + AI can reclaim that lost time—through deal intelligence, sentiment analysis, automated summaries, and next-best-action recommendations—so reps can focus on what matters: cl...
AI Transforms Service Operations into Profit Centers, Not Cost Centers
Service teams face crushing case volumes, inefficient wrap-up processes, and inconsistent customer responses. Generative AI automates manual work while turning service from a cost center into a profit center—enabling agents to upsell and cross-sell during support interactions while delivering personalized, faster resolutions.
The 5 Real Reasons Enterprise AI Transformations Fail (And None Are Technical)
Alex Lieberman asked $100M+ execs what's slowing their AI transformation. Data quality topped the list. After two years of these conversations inside the Salesforce ecosystem, I think that's wrong, or at least incomplete. Here's what I'm actually seeing, and why the rank order matters.
GDPR, CCPA, HIPAA compliance in Salesforce. Sandbox masking, audit trails, and privacy automation for regulated industries.
Browse content →Enterprise ArchitectureOrg strategy, integration architecture, data model, multi-cloud coordination — the decisions that make or break enterprise Salesforce.
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