What You Will Learn
The real blockers aren't technical
After 15+ enterprise deployments, we’ve seen the same pattern everywhere:
The pilot works
Your team built a working agent. It answers questions, retrieves data, follows instructions.
Then it stalls
Because when you point it at real workflows, real data, and real users, problems surface immediately:
The problems aren't simply technical.
There are usually a few factors working together. Such as understanding the workflows, quality of the data, and the overall operational foundation.
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What Makes Our Guide Different
Other Agentforce guides:
- Repackaged blog posts
- Generic “efficiency gains” examples
- Theory from vendors who’ve never deployed agentforce
This guide:
- Written by the team that’s actually done the work 15+ times
- Honest about what fails and why
- Real deployment examples
- Specific metrics
What's in the Guide
- 7 lessons from 15+ live deployments
- 9 proven starting use cases
- Data readiness checklist
This isn’t theory. It’s our combined experience of building and deploying Agentforce in production and at scale.
Who Our Guide Is For
- Senior Salesforce implementers who need to know what actually breaks in production
- Decision-makers evaluating risk/ROI who’ve been burned by AI pilots before
- Operations leaders responsible for rolling agents out to real customers
- Anyone stuck between “it works in sandbox” and “we can’t push this live”
If your Agentforce pilot is stuck in limbo, this will show you exactly what’s blocking it and how to fix it.
Clear explanations of how Agentforce really works
Diagrams showing the end‑to‑end workflows
Step‑by‑step examples from live deployments
Real numbers on impact and efficiency gains
Start using the Bluprintx A.G.E.N.T. framework