Trail map
Trail map
Designed agentic AI infrastructure for enterprise revenue stacks, enabling autonomous quote-to-order processing at scale
Built LLM-responsive data architectures for Salesforce environments, enabling AI agents to interpret and act on complex contract and billing logic.
Architected ERP-agentic integration layers connecting Salesforce to SAP, NetSuite, and Sage Intacct with real-time data fidelity.
Leads Sherpaneer's Intelligence practice — deploying governed Digital Labor across the full revenue lifecycle
Field reports
Field reports
Sherpaneer's Revenue Cloud Architecture Approach
How Sherpaneer architects Revenue Cloud and CPQ solutions — the design decisions that separate scalable implementations from long-term technical debt.
AI-Ready Data Models in Revenue Operations
Lawrence's verified Salesforce certifications and hands-on implementation credentials across Revenue Cloud, CPQ, and platform architecture.
Salesforce Certified Trailblazer
Lawrence's verified Salesforce certifications and hands-on implementation credentials across Revenue Cloud, CPQ, and platform architecture.
Expedition gear
Expedition gear
Expertise
Agentic AI Systems
Data Architecture
Salesforce Technical
Systems Integration
AI & Machine Learning
Guiding principles
Guiding principles
Data foundations before AI deployment — always.
Agentic systems require governed architecture.
Automation of a broken process accelerates failure.
The best integrations are invisible to the end user.
Beyond the work
Beyond the work
Mentor for engineers transitioning into AI and revenue tech
Media & speaking
Media & speaking
Featured speaking & appearances
Dreamforce and Salesforce technical tracks
AI and revenue architecture conferences
Enterprise data architecture summits