Architectural thinking is an asset for every technical role. In the Agentic Enterprise, use the L.E.A.D. framework and strategic wayfinding to design for scale and optimize platform governance.
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Featured Sessions
Scale Trusted AI Adoption with Salesforce and AWS
Learn how to deploy Anthropic models via Amazon Bedrock in Agentforce’s secure environment, enabling compliant AI adoption at scale, particularly for regulated industries.
Prompt to Agent with Google Cloud: Gemini 3 in Agentforce
Explore the full agent development stack using Gemini 3 as the reasoning backbone, prompt builder for Agentforce agents. See Gemini 3 Flash’s fast, high-accuracy inference to build adaptable agents.
More Output, Same Control: Embracing AI-Driven Change
AI will multiply your rate of change. As the bottleneck shifts from writing code to governance, learn how to stay in control of accelerated delivery and focus on the work that needs you.
Building AI-Ready DevOps: L-Founders' Journey to Agentforce
See how L-founders leverage Copado to build an intelligent DevOps foundation, enabling them to deploy Agentforce agents seamlessly with enhanced dependency analysis and advanced debugging capabilities
Optimizing Salesforce’s Own Sales Cloud with Hubbl
See how Salesforce uses Hubbl to accelerate planning. Learn how the internal product team aligns complex requirements to architecture to de-risk and optimize global Sales Cloud updates.
Architecture: AI, Data, Lakehouse, Zero Copy
Modern Data Architecture for AI. Learn from real Enterprise customer stories: Zero Copy to Databricks & Snowflake, real-time lakehouse from scale to latency, amalgamation of customer data, and more.
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Apply the L.E.A.D. Framework for the Agentic Enterprise
, Lead Enterprise Architect, Eide Bailly
Role: Administrator, IT Business Leader
Industry: Professional Services, Technology
Products: Sales, Agentforce 360 Platform
Topic: Careers
Session Level: Intermediate
Session Type: Theater
- Thursday, Apr 168:00 AM - 8:20 AM PDT(3:00 PM - 3:20 PM GMT)Trailblazer Theater (Community Cove, Level 3)FIRST COME FIRST SEATED
Session Summary: This session explored the 'LEAD framework' as a systematic approach to handling Salesforce platform changes and requests, emphasizing thoughtful, long-term solutions over hasty implementations. Using a case study of a 100-hour picklist issue, the presenter demonstrated how a simple request for a picklist value could cascade into significant complications due to dependencies in automations, reporting, and metadata. By prioritizing discovery, scalability, and root-cause analysis, the speaker showed how leveraging existing Salesforce metadata and features can deliver efficient results while avoiding technical debt and preserving AI functionality, such as Agentforce. The session underscored the importance of human expertise in guiding AI systems and maintaining a well-structured Salesforce environment for future scalability and accuracy.
Key Takeaways:
• The LEAD framework—Long-term solutions, Expandable, Address root cause, and Discuss options—provides a structured approach to managing Salesforce changes that ensures sustainable and efficient outcomes.
• Prioritizing discovery and understanding the root cause of user requests can save significant time and prevent issues, as demonstrated by resolving a 100-hour picklist problem with a simple existing metadata filter for reports.
• Human expertise remains essential in supervising AI tools like Agentforce, as thoughtful planning and context-driven decisions ensure AI systems can function effectively without being hindered by cluttered or inconsistent metadata.
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