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content-newsletter

Why AI-First Is the Wrong Starting Point

Many AI initiatives fail because organizations automate fragmented operations instead of understanding how work actually happens first. AI accelerates systems, including broken ones.

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content-newsletter

Make.com Release | MAY'26

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.

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content-survey

AI Automation Prioritization: How to Identify What Actually Creates Productivity

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.

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two-agencies-two-stacks-541
content-survey

AI Automation Prioritization Lens 3: Business Effectiveness

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.

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two-agencies-two-stacks-541
content-survey

AI Automation Prioritization Lens 2: Human Error Reduction

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.

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two-agencies-two-stacks-541
content-survey

AI Automation Prioritization Lens 1: Frequency × Time × Cost

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.

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Make.com data store example
Customer Story

Using the Data Store in Make.com

How to set up a Data Store, design a solid structure, and use common modules to write, retrieve, search, and maintain records.

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anticon-2026-541x291
content-newsletter

What I Took Home from AntiCon London: AI Will Not Fix Broken Marketing Operations

Most organizations are trying to solve structural problems with technology. Discover the key lessons from AntiCon London on why AI amplifies existing ways of working, and why fixing processes, capabilities, and operating models should come before scaling AI.

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web_scraping
content-research

Web scraping for data enrichment

Outdated data in your CRM? Ai & Automation ensures your CRM data is complete, accurate, and always relevant, boosting sales effectiveness and efficiency.

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alignment-541x291
Customer Story

Fix Fragmented Campaign Execution to Enable Scalable, High-Quality Marketing in Industrial Manufacturing

Fragmented marketing slows industrial firms. Discover how standardized workflows and automation unlock scalable, high-quality campaigns.

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Customer Story

Standardize Ways of Working Across Business Units to Enable Scalable Program Activation in Marketo and Dynamics

How can standardized ways of working unlock scalable, high-impact marketing across diverse business units? Discover Rockwool’s approach.

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martech-cmff
content-newsletter

State of Martech 2026: Key Insights for Marketing Technology Administrators

Explore essential insights from the 2026 State of Martech report tailored for marketing technology administrators navigating AI, context engineering, and governance.

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