Connect Your Business Apps With Powerful Make Automations

Make (formerly Integromat) is a visual workflow automation platform used to connect applications, databases, APIs, and AI models into coordinated, automated processes called scenarios. It provides an intuitive canvas for building multi-step logic with visual routing, filtering, iteration, and error handling.

Make can automate multi-step business operations including CRM contact and deal synchronization, multi-channel lead ingestion, automated sales notifications, AI lead qualification, customer onboarding, ecommerce order fulfillment, invoice generation, marketing email sequences, and scheduled executive reporting.

A scenario is an automated workflow built inside Make. It starts with a trigger (such as a webhook or schedule), processes data through connected app modules, executes logic branches (routers and filters), and performs actions across your connected tools automatically.

Make features a massive prebuilt integration ecosystem of 3,000+ applications across CRM, marketing, sales, accounting, project management, customer support, databases, and AI platforms. In addition, its HTTP and Webhook modules connect to any custom REST or GraphQL API.

Yes. Make features native AI modules and Make AI Agents alongside an AI Toolkit for unstructured data extraction, document summarization, sentiment analysis, text classification, and intelligent decision-making integrated directly into visual scenarios.

Yes. Make AI Agents can reason about incoming requests, query connected systems, call specialized tools from its 3,000+ app ecosystem, and trigger automated scenarios with strict guardrails and human approval gates.

Yes. If an application lacks a prebuilt Make app, we utilize Make's native HTTP Request and Webhook modules to interface with custom databases, internal SaaS backends, proprietary portals, and private REST APIs.

A Router is a flow-control module that branches a single scenario into multiple execution paths. Each path can have its own filter conditions, allowing different types of leads, orders, or inquiries to follow distinct business workflows.

An Iterator splits an array (like a list of line items or new contacts) into individual bundles for separate processing. An Aggregator performs the inverse—combining multiple data bundles into a single structured summary or report.

Yes. Make provides robust error-handling directives including Skip, Retry, Resume, Commit, and Rollback, plus Incomplete Executions storage to ensure zero data loss during third-party API downtime or unexpected inputs.

Neither is universally better. Make excels at visual, multi-step scenarios requiring complex branching (routers), array iteration, data transformation, and cost-effective operations. Zapier is great for simple trigger-action app connections. Shrazen selects the ideal platform based on your technical stack.

Make is ideal for teams wanting a visual, cloud-managed workflow canvas with 3,000+ prebuilt apps. n8n is preferable when self-hosting, custom JavaScript/Python execution, on-premise data governance, or high-volume queue workers are required.

Yes. We conduct thorough architectural audits of existing Make accounts to eliminate operation waste, resolve incomplete execution errors, fix broken filters, optimize data mapping, and implement reliable error recovery.

Yes. We analyze legacy automations, eliminate obsolete steps, re-architect logic around Make's visual router and iterator capabilities, and migrate workflows cleanly with comprehensive testing.

We engineer scenarios with defensive data validation, duplicate checks, automated Slack/Email alert notifications on failure, rate-limit protection, and documented execution blueprints.

Project investment depends on the number of scenarios, integration complexity, custom API development, AI processing requirements, and routing logic. We offer transparent project-based scopes and ongoing optimization retainers.