Enterprise AI That
Actually Ships.
Agentforce and Data Cloud architecture from someone who's built it — not just sold it. 10+ years at Salesforce. Real certifications. Enterprise accounts you've heard of.
Building in Public, Every Week
Practical AI and Data Cloud insights shared on LinkedIn every Wednesday — no fluff, no product pitches.
"Most Agentforce demos show the happy path. What they don't show is the data architecture that makes it possible — and the six months of cleanup that happens before a single agent goes live."
— From a recent LinkedIn post on Agentforce readiness
What I Do
Four focused engagements — each scoped to move you forward on your Agentforce and Data Cloud journey.
Agentforce Readiness Assessment
Before you build, you need to know where you stand. A structured audit of your Salesforce org, data infrastructure, and team readiness — with a clear implementation roadmap at the end.
Data Cloud Architecture
Data Cloud is the foundation everything else runs on. I design and implement the architecture — unified profiles, segment creation, activation — so your AI has the data quality it needs.
Agentforce Implementation
End-to-end agent design, build, and deployment. From defining use cases and agent topics to prompt engineering, testing, and production launch. Built to actually work.
Fractional AI Architect
Ongoing strategic advisory for teams that need AI architecture expertise without a full-time hire. I keep you moving in the right direction as the platform evolves.
Why work with me instead of a big firm?
I've built it from both sides
Ten years at Salesforce as a Senior AI and Data Success Architect means I've implemented these systems for enterprise clients and trained the people who build them. That perspective is hard to replicate.
No generalist hand-waving
Agentforce and Data Cloud are specific, evolving platforms with real constraints. I know where the bodies are buried — the data model gotchas, the agent topic limits, the segment refresh timing issues that sink projects.
You deal with the person doing the work
Not a sales team that hands you off to a junior consultant. I scope the engagement, do the architecture, and I'm the one accountable for the outcome.
Latest Thinking
Practical writing on Agentforce, Data Cloud, and Salesforce AI strategy.
Agentforce in Spring 2026: What's Actually Happening in Enterprise Deployments
After 18 months of Agentforce hype, here's what enterprise deployments actually look like in spring 2026 — what's working, what isn't, and where architects should focus.
Agentforce vs. Traditional Chatbots: Why This Is Actually Different
Every enterprise has been burned by chatbot projects that promised automation and delivered a frustrating FAQ wrapper. Here's why Agentforce is architecturally different — and what that means for what it can and cannot do.
Data Cloud Architecture Patterns: What Actually Works in Production
Most Data Cloud architecture guides show you the happy path. This one covers the patterns that hold up when you hit real enterprise data volumes, complex identity resolution scenarios, and the edge cases the documentation glosses over.
Your competitors are shipping AI.
Where's your roadmap?
Start with a free 30-minute strategy call. No slide deck, no sales pitch — just a direct conversation about your Salesforce AI readiness and where the real opportunities are.
Most clients know within 15 minutes whether this is the right fit.