Make.com Release Notes | JUN'26
What do the JUN'26 Make.com updates really mean for your team? We break down what matters, what to act on, and where it impacts your operations.
What do the JUN'26 Make.com updates really mean for your team? We break down what matters, what to act on, and where it impacts your operations.
How BDO Italy replaced manual lead and consent management with a governed, automated system to improve productivity, strengthen compliance, and support scalable growth.
How BDO Norway turned an underutilized Marketo instance into a scalable, high-performing marketing automation engine.
See how Portbase replaced fragmented manual imports with automated data integration, creating a reliable foundation for segmentation, targeting, and scalable marketing automation.
See how Portbase moved from reactive data fixes to proactive data governance, enabling more reliable and scalable marketing automation.
See how Rockwool UK automated training event management to save hundreds of hours and build a scalable operating model for their Training Academy.
Many AI initiatives fail because organizations automate fragmented operations instead of understanding how work actually happens first. AI accelerates systems, including broken ones.
What do the MAY'26 Make.com updates really mean for your team? We break down what matters, what to act on, and where it impacts your operations.
Most companies automate the wrong things first. Discover three practical automation prioritization lenses that help organizations move beyond AI hype and identify where automation creates measurable productivity, operational stability, and business impact.
Some automation initiatives matter because they improve business outcomes directly. This lens explores how automation and AI increase responsiveness, decision quality, customer experience, and commercial effectiveness.
Some of the biggest automation gains come from reducing mistakes, inconsistency, and rework. This lens explores how operational stability becomes a foundation for scalable productivity and successful AI adoption.
Most productivity loss does not come from one massive inefficiency. It comes from thousands of repetitive tasks quietly consuming operational capacity every day. This lens helps identify which automation opportunities create the biggest measurable impact first.