Make

Make is an automation platform for designing, running, and managing workflows across apps, data sources, and AI systems. It gives teams a visual way to connect tools, transform information, and coordinate multi-step processes without treating automation as a purely technical project. Make is best at turning recurring operational work into visible, adaptable workflows that can be built by business users and extended by technical teams. Its visual builder is central to the product’s identity. Instead of hiding logic inside scripts or rigid background rules, the platform presents automations as scenarios, with apps, triggers, actions, routers, filters, and data transformations arranged on a canvas. This makes workflow automation easier to understand, test, troubleshoot, and improve over time. For business teams, Make is a practical layer between everyday software and the processes that connect it. Marketing automation can link campaign tools, spreadsheets, analytics platforms, and messaging apps. CRM automation can update records, route leads, enrich customer data, and notify the right people when work needs attention. HR automation can coordinate onboarding, approvals, employee records, and internal requests across systems that were not originally designed to work together. A large integration catalog gives the platform much of its reach. With 3,000+ pre-built app integrations, it can connect widely used SaaS tools, databases, communication platforms, commerce systems, and internal services. Integration automation is not limited to moving data from one app to another, because scenarios can branch, validate, reformat, aggregate, and synchronize information across several systems in one flow. AI has become part of the broader automation story rather than a separate feature category. Make supports workflows that include AI models, assistants, data sources, and decision steps, so teams can combine deterministic business rules with generative or agentic capabilities. For agent building, this matters because AI systems often need access to tools, context, approvals, and structured actions, not just a prompt window. Developers and automation specialists can go deeper when the visual layer is not enough. The platform supports drag-and-drop building for no-code users, prompt-based creation for faster setup, code for custom logic, and MCP for connecting AI agents with external tools and services. This range makes Make useful across mixed teams where marketers, operations managers, analysts, and engineers may all contribute to the same automation environment. At scale, governance becomes as important as speed. Make is positioned for departmental automation as well as enterprise orchestration, with controls for managing users, permissions, security, monitoring, and operational reliability. Larger organizations can standardize how automations are created and maintained while still giving teams room to solve local workflow problems. The character of the platform is flexible and systems-oriented. It is not simply a connector app, and it is not only a no-code builder. The value comes from combining visual design, broad integrations, data handling, AI workflow support, and operational management in one place. In practice, Make helps organizations reduce manual handoffs, keep systems aligned, and build processes that can evolve as software stacks change. It is especially useful when work crosses multiple tools, when data needs to be reshaped between steps, or when teams want automation that is visible enough for business users but powerful enough for complex operations.