AI & Agentforce Architecture
Agents that work in production, not just in demos
Book a Discovery CallThe Problem
Your company purchased Agentforce licenses because the AI mandate demanded it. Six months later, the agents aren't resolving cases, aren't closing deals, and aren't delivering ROI. The problem isn't Agentforce. It's the architecture.
Most Salesforce architects learned their trade in the pre-AI era and don't know how to design agentic systems that actually perform. Agents that work in demos fail in production because the underlying architecture (data access, security model, integration layer) wasn't designed for AI.
87% of Salesforce customers haven't adopted AI yet. That's a massive skills gap, and a window of opportunity for organizations that move now with the right architecture.
What I Deliver
- Agentforce agent design and deployment across Service Cloud, Sales Cloud, and Experience Cloud
- Topic model and action architecture for agent reasoning
- Prompt Builder template design for consistent, high-quality AI responses
- Atlas Reasoning Engine configuration and optimization
- Data Cloud integration for agent grounding and context
- Agent performance monitoring, testing, and iteration frameworks
- AI-powered workflow and Flow orchestration
Who This Is For
- Companies that purchased Agentforce licenses but don't have the internal architecture expertise to design agents that perform
- SI project teams that need a senior architect to lead the Agentforce workstream
- CIOs mandating "AI in Salesforce" without a concrete implementation plan
“It's rare to come across a profile like his — having the skill set to operate as a Salesforce architect and as a program manager. He transforms challenges into success stories.”
How I Work
Discovery
We scope the challenge. I ask hard questions about your architecture, team, and timeline. You'll know in 30 minutes whether I'm the right architect.
Architecture
Architecture-first. I map the system before touching configuration. Deliverables are scoped, timelines are clear, and nothing starts without a plan.
Delivery
Execution with documentation that lets your team maintain what I build. No handoff gaps, no knowledge silos.
Typically 4-12 weeks
Frequently Asked Questions
What does an Agentforce architect do?
Designs autonomous AI agents within Salesforce: trust boundaries, escalation paths, topic models, and governance frameworks so agents perform reliably in production, not just in demos.
How long does an Agentforce implementation take?
Typically 8–12 weeks for a production-ready pilot agent. The timeline depends on data readiness, integration complexity, and whether Data Cloud is already in place.
Do I need Data Cloud before deploying Agentforce?
Not always, but it dramatically improves agent accuracy. Agents reason over the data they can access. If that data is siloed or incomplete, agent responses will be too. Data Cloud gives agents a unified, real-time customer profile to work with.
Ready to architect Agentforce for production?
30-minute discovery call. No pitch, just an honest assessment of where you stand.
Book a Discovery CallNot ready to talk? Take the Assessment →