How AI-Powered Prospecting Can Deliver Real Pipeline Results

Discover how AI-powered Agentforce SDR can boost pipeline results and save SDRs time.
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.
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.
Tech Has Culture Too: 5 Signals Revenue Leaders Shouldn’t Ignore When Evaluating a Partner or Building a Team

When technical or RevOps leaders assess a new consulting partner or evaluate internal hires, the first instinct is often to ask about the stack and their expertise. Are they Salesforce-native? What does their tooling look like? How tight is their automation? Can they actually scale a GTM motion without adding more complexity than clarity? It’s […]
Salesforce Winter ’26: Lane Four’s Practical Highlights

Lane Four’s expert take on the Salesforce Winter ’26 Release highlights. See the updates that are making a real difference for our own team of trailblazers.
Lane Four Celebrates Another Year on Canada’s Top Growing Companies Ranking for 2025

Lane Four places No, #113 on The Globe and Mail’s seventh annual ranking of Canada’s Top Growing Companies and #139 in Consulting
5 Reasons Structured Change Management Drives Salesforce Success

New technology doesn’t always fail because of the product and features. See 5 reasons change management best practices drives Salesforce ROI, user adoption, and reporting accuracy.
Top 5 Things NOT to Do When Migrating from CPQ to RCA

Switching from Salesforce CPQ to RCA? Avoid common migration mistakes. Learn why rules, data models, integrations, and testing all matter in your RCA implementation.