Building an Architect Mindset From the Beginning
Making the call on a quick fix versus a longterm solution that can scale? Lane Four shows how adopting an architect mindset early keeps Salesforce systems future-ready.
Will Agentforce Be Ready to Replace Sales People By 2026?
Agentforce promises speed and automation, but without strong RevOps it creates chaos. Find out how to make AI work for your sales team.
Lane Four’s POV on GTM Tech Stack Integrations: What Actually Works
Stop letting your GTM tech stack slow you down Lane Four shows which Salesforce integrations actually work and why your team will thank you
The Real Cost of Technical Debt and How It Limits Revenue Growth
Discover how technical debt in and out of Salesforce slows revenue growth and how Lane Four helps RevOps leaders turn cleanup into a strategy for scale.
How to Clean Up Tech Debt the Smart Way
Cleaning up tech debt doesn’t have to be chaos. Here’s how to start untangling your RevOps stack without killing team momentum.
Tech Debt in RevOps: What It Really Looks Like (And Why It’s Costing You)
Is your tech stack slowing you down? Learn what RevOps tech debt really is, how it hurts growth, and why cleaning it up early makes all the difference.
Why You Need a Credit Consumption Strategy Before Rolling Out Agentforce
Learn why a credit consumption strategy is essential before implementing Agentforce in your Salesforce org, and how to avoid unexpected costs from usage-based AI pricing.
Lane Four’s Key Takeaways from TrailblazerDX 2025
Another TrailblazerDX is in the books for the Lane Four team, and as always, the Salesforce ecosystem has a lot to talk about. From long-awaited updates to some we weren’t even expecting (but gladly welcome), this year’s conference brought announcements that will shape the way admins, consultants, and developers work with Salesforce tools—especially Agentforce (to […]
Gaining More Confidence in AI: Introducing the Agentforce Testing Center
Introducing Salesforce’s Agentforce Testing Center, a tool designed to test and enhance the reliability of AI agents before deployment. We discuss the limitations of traditional testing methods, setting up a new test, and lessons we’ve learned from using it in our first Agentforce deployments to ensure our client’s AI agents are optimized for accuracy.