Zapier AI vs Make (Integromat)
A detailed comparison of Zapier AI and Make (Integromat). Find out which AI Operations solution is right for your team.
📌Key Takeaways
- 1Zapier AI vs Make (Integromat): Comparing 6 criteria.
- 2Zapier AI wins 0 categories, Make (Integromat) wins 6, with 0 ties.
- 3Zapier AI: 4.1/5 rating. Make (Integromat): 4.3/5 rating.
- 4Overall recommendation: Make (Integromat) edges ahead in this comparison.
Zapier AI
AI-powered automation platform with 8,000+ app integrations, AI agents, and natural language workflow creation
Make (Integromat)
Visual automation platform with AI agents, 2,000+ app integrations, and advanced workflow logic for complex automations
0
Zapier AI wins
0
Ties
6
Make (Integromat) wins
Feature Comparison
| Criteria | Zapier AI | Make (Integromat) | Winner |
|---|---|---|---|
| Workflow Complexity | 3 | 4 | Make (Integromat) |
| Integrations | 3 | 4 | Make (Integromat) |
| Error Handling | 4 | 5 | Make (Integromat) |
| Scalability | 4 | 5 | Make (Integromat) |
| Monitoring | 4 | 5 | Make (Integromat) |
| Ease of Use | 4 | 5 | Make (Integromat) |
Detailed Analysis
Workflow Complexity
Make (Integromat)Zapier AI
Zapier AI's workflow complexity capabilities
Make (Integromat)
Make (Integromat)'s workflow complexity capabilities
Comparing workflow complexity between Zapier AI and Make (Integromat).
Integrations
Make (Integromat)Zapier AI
Zapier AI's integrations capabilities
Make (Integromat)
Make (Integromat)'s integrations capabilities
Comparing integrations between Zapier AI and Make (Integromat).
Error Handling
Make (Integromat)Zapier AI
Zapier AI's error handling capabilities
Make (Integromat)
Make (Integromat)'s error handling capabilities
Comparing error handling between Zapier AI and Make (Integromat).
Scalability
Make (Integromat)Zapier AI
Zapier AI's scalability capabilities
Make (Integromat)
Make (Integromat)'s scalability capabilities
Comparing scalability between Zapier AI and Make (Integromat).
Monitoring
Make (Integromat)Zapier AI
Zapier AI's monitoring capabilities
Make (Integromat)
Make (Integromat)'s monitoring capabilities
Comparing monitoring between Zapier AI and Make (Integromat).
Ease of Use
Make (Integromat)Zapier AI
Zapier AI's ease of use capabilities
Make (Integromat)
Make (Integromat)'s ease of use capabilities
Comparing ease of use between Zapier AI and Make (Integromat).
Feature-by-Feature Breakdown
AI Workflow Builder
Make (Integromat)Zapier AI
Zapier's revolutionary natural language interface transforms how users create automations by converting plain English descriptions into fully functional, multi-step workflows. Rather than manually configuring triggers, actions, and conditions, users simply describe their automation needs—such as 'When I receive a new lead in HubSpot, add them to my Mailchimp list and create a follow-up task in Asana'—and the AI interprets this intent, identifies the required applications, maps the appropriate data fields, and generates the complete workflow configuration. The system understands context, handles ambiguity intelligently, and allows iterative refinement through conversational interaction, making sophisticated automation accessible to non-technical users. Dramatically reduces time to create automations from hours to minutes by eliminating the need for manual workflow configuration and technical expertise
✓ Dramatically reduces time to create automations from hours to minutes by eliminating the need for manual workflow configuration and technical expertise
Make (Integromat)
Make's visual scenario builder provides an infinite canvas where users construct automations by dragging and dropping application modules and connecting them with data flow lines. Each module represents a specific action within an application—such as creating a record, sending an email, or fetching data—and users configure these modules through intuitive forms rather than code. The visual approach makes complex workflows comprehensible at a glance, with color-coded modules, clear data flow indicators, and the ability to zoom in on specific sections or view the entire automation architecture. Users can build branching logic with routers, handle errors gracefully with dedicated error handlers, and iterate over data sets using built-in array functions. Enables non-technical users to build sophisticated automations that would traditionally require developer resources, reducing automation development time by up to 90%.
✓ Enables non-technical users to build sophisticated automations that would traditionally require developer resources, reducing automation development time by up to 90%
Both Zapier AI and Make (Integromat) offer AI Workflow Builder. Zapier AI's approach focuses on zapier's revolutionary natural language interface transforms how users create automations by converting plain english descriptions into fully functional, multi-step workflows., while Make (Integromat) emphasizes make's visual scenario builder provides an infinite canvas where users construct automations by dragging and dropping application modules and connecting them with data flow lines.. Choose based on which implementation better fits your workflow.
Multi-App Integration Hub
Make (Integromat)Zapier AI
Zapier's integration ecosystem encompasses over 6,000 business applications spanning every category imaginable—from major platforms like Salesforce, HubSpot, Slack, Microsoft 365, and Google Workspace to specialized tools for accounting, e-commerce, project management, customer support, and beyond. Each integration is pre-built with authentication handling, data schema mapping, and API management, eliminating the need for custom development. The platform continuously adds new integrations and updates existing ones as application APIs evolve, ensuring businesses can connect their entire technology stack regardless of which tools they choose to adopt. Eliminates data silos and enables seamless information flow across entire business technology stacks without requiring API development or technical resources
✓ Eliminates data silos and enables seamless information flow across entire business technology stacks without requiring API development or technical resources
Make (Integromat)
Make maintains one of the largest libraries of pre-built application integrations in the automation industry, with over 1,500 native connectors spanning every major category of business software. Each integration includes multiple modules covering the full range of actions available in that application's API, from basic CRUD operations to advanced functionality. The integrations are continuously updated to reflect API changes and new features, ensuring reliability and access to the latest capabilities. For applications without native integrations, Make provides universal HTTP modules, webhook triggers, and GraphQL support that can connect to virtually any web service with an API. Eliminates the need for custom API development for the vast majority of integration needs, allowing teams to connect their entire tech stack within a single platform.
✓ Eliminates the need for custom API development for the vast majority of integration needs, allowing teams to connect their entire tech stack within a single platform
Both Zapier AI and Make (Integromat) offer Multi-App Integration Hub. Zapier AI's approach focuses on zapier's integration ecosystem encompasses over 6,000 business applications spanning every category imaginable—from major platforms like salesforce, hubspot, slack, microsoft 365, and google workspace to specialized tools for accounting, e-commerce, project management, customer support, and beyond., while Make (Integromat) emphasizes make maintains one of the largest libraries of pre-built application integrations in the automation industry, with over 1,500 native connectors spanning every major category of business software.. Choose based on which implementation better fits your workflow.
Intelligent Task Automation
Make (Integromat)Zapier AI
Beyond simple point-to-point integrations, Zapier AI delivers intelligent automation that handles complex business logic including conditional branching, data-based routing, loops, and sophisticated decision trees. The AI-driven engine learns patterns from workflow execution and can handle edge cases, data transformations, and multi-path routing rules that would traditionally require custom programming. Workflows automatically trigger based on specific events or conditions across integrated applications, executing sequences of actions without human intervention while maintaining full visibility and control. Reduces manual intervention and human error in repetitive business processes while enabling sophisticated automation logic previously requiring developer resources
✓ Reduces manual intervention and human error in repetitive business processes while enabling sophisticated automation logic previously requiring developer resources
Make (Integromat)
Make includes a comprehensive suite of data transformation functions that allow users to manipulate, format, and restructure data as it flows between applications. The platform provides over 100 built-in functions covering text manipulation, mathematical operations, date/time formatting, array processing, and data type conversion. Users can access these functions through a visual formula builder that provides autocomplete suggestions and real-time validation. Complex transformations that would require custom code in other platforms can be accomplished through Make's visual interface, including parsing JSON/XML, aggregating data from multiple sources, and restructuring nested data objects. Ensures data compatibility between applications with different data formats and structures, eliminating manual data cleanup and transformation tasks.
✓ Ensures data compatibility between applications with different data formats and structures, eliminating manual data cleanup and transformation tasks
Both Zapier AI and Make (Integromat) offer Intelligent Task Automation. Zapier AI's approach focuses on beyond simple point-to-point integrations, zapier ai delivers intelligent automation that handles complex business logic including conditional branching, data-based routing, loops, and sophisticated decision trees., while Make (Integromat) emphasizes make includes a comprehensive suite of data transformation functions that allow users to manipulate, format, and restructure data as it flows between applications.. Choose based on which implementation better fits your workflow.
AI-Powered Data Processing
Make (Integromat)Zapier AI
Zapier AI employs machine learning capabilities to intelligently extract, transform, and route data between applications. The system can parse unstructured data from emails, documents, and forms; categorize information based on content analysis; perform sentiment analysis; and make intelligent routing decisions without explicit programming. Data transformation tools handle format conversions, text manipulation, date formatting, mathematical operations, and complex data type conversions—ensuring information flows seamlessly between applications with different data structures and requirements. Enables sophisticated data workflows including parsing, categorization, and intelligent routing without requiring technical expertise or custom code development
✓ Enables sophisticated data workflows including parsing, categorization, and intelligent routing without requiring technical expertise or custom code development
Make (Integromat)
Every scenario execution in Make is logged with complete visibility into each step's input data, output data, and processing time. Users can replay any historical execution to understand exactly what happened, making troubleshooting straightforward even for complex multi-step workflows. The platform provides real-time execution monitoring where users can watch data flow through their scenarios step by step, with the ability to pause execution and inspect intermediate values. Failed executions are automatically flagged with detailed error messages and the option to retry from the point of failure rather than restarting the entire workflow. Reduces debugging time from hours to minutes by providing complete transparency into automation execution, enabling rapid identification and resolution of issues.
✓ Reduces debugging time from hours to minutes by providing complete transparency into automation execution, enabling rapid identification and resolution of issues
Both Zapier AI and Make (Integromat) offer AI-Powered Data Processing. Zapier AI's approach focuses on zapier ai employs machine learning capabilities to intelligently extract, transform, and route data between applications., while Make (Integromat) emphasizes every scenario execution in make is logged with complete visibility into each step's input data, output data, and processing time.. Choose based on which implementation better fits your workflow.
Workflow Templates & Automation Library
Make (Integromat)Zapier AI
Zapier provides an extensive library of pre-built automation templates covering common business processes across industries and functions. These templates represent best practices distilled from millions of workflows, offering ready-made solutions for lead management, customer support ticket routing, HR onboarding, invoice processing, social media management, and hundreds of other scenarios. Each template is fully customizable, allowing users to adapt proven workflows to their specific requirements while benefiting from optimized configurations and tested integrations. Accelerates time-to-value by providing ready-made, best-practice solutions for common automation scenarios that can be deployed in minutes rather than built from scratch
✓ Accelerates time-to-value by providing ready-made, best-practice solutions for common automation scenarios that can be deployed in minutes rather than built from scratch
Make (Integromat)
Make's collaboration features enable teams to work together on automation projects with role-based access controls, shared folders, and centralized administration. Organizations can create team workspaces where members collaborate on scenarios while maintaining appropriate permission boundaries—some users may have full editing rights while others can only view or execute automations. The platform includes version history for scenarios, allowing teams to track changes over time and roll back to previous versions if needed. Enterprise customers gain additional governance features including audit logs, SSO integration, and the ability to enforce organizational policies across all team automations. Enables automation centers of excellence where teams can collaborate on building, maintaining, and governing automations across the organization with appropriate oversight.
✓ Enables automation centers of excellence where teams can collaborate on building, maintaining, and governing automations across the organization with appropriate oversight
Both Zapier AI and Make (Integromat) offer Workflow Templates & Automation Library. Zapier AI's approach focuses on zapier provides an extensive library of pre-built automation templates covering common business processes across industries and functions., while Make (Integromat) emphasizes make's collaboration features enable teams to work together on automation projects with role-based access controls, shared folders, and centralized administration.. Choose based on which implementation better fits your workflow.
Strengths & Weaknesses
Zapier AI
Strengths
- ✓AI Workflow Builder: Zapier's revolutionary natural language interface transforms how users create automations by converting plain English descriptions into fully function...
- ✓Multi-App Integration Hub: Zapier's integration ecosystem encompasses over 6,000 business applications spanning every category imaginable—from major platforms like Salesforce, H...
- ✓Intelligent Task Automation: Beyond simple point-to-point integrations, Zapier AI delivers intelligent automation that handles complex business logic including conditional branchi...
- ✓AI-Powered Data Processing: Zapier AI employs machine learning capabilities to intelligently extract, transform, and route data between applications. The system can parse unstruc...
- ✓Workflow Templates & Automation Library: Zapier provides an extensive library of pre-built automation templates covering common business processes across industries and functions. These templ...
Weaknesses
- ✗AI-generated content requires human review to ensure accuracy and brand voice consistency.
- ✗Initial setup and integration may require technical resources or onboarding support.
- ✗Feature depth means users may not utilize all capabilities, potentially reducing ROI for simpler use cases.
Make (Integromat)
Strengths
- ✓Visual Scenario Builder: Make's visual scenario builder provides an infinite canvas where users construct automations by dragging and dropping application modules and connecti...
- ✓1,500+ App Integrations: Make maintains one of the largest libraries of pre-built application integrations in the automation industry, with over 1,500 native connectors spanni...
- ✓Advanced Data Transformation: Make includes a comprehensive suite of data transformation functions that allow users to manipulate, format, and restructure data as it flows between...
- ✓Execution History & Debugging: Every scenario execution in Make is logged with complete visibility into each step's input data, output data, and processing time. Users can replay an...
- ✓Teams & Organizations: Make's collaboration features enable teams to work together on automation projects with role-based access controls, shared folders, and centralized ad...
Weaknesses
- ✗AI-generated content requires human review to ensure accuracy and brand voice consistency.
- ✗Initial setup and integration may require technical resources or onboarding support.
- ✗Feature depth means users may not utilize all capabilities, potentially reducing ROI for simpler use cases.
Use Case Fit
AI SDR: Automated Outbound Prospecting
Zapier AI
Approach: Zapier AI automates the entire outbound prospecting workflow using AI. The platform identifies ideal customer profiles, enriches contact data from multiple sources, and generates personalized email sequences at scale. Sales teams can set targeting criteria and let the AI handle research, outreach, and follow-ups.
Outcome: 70% time savings on prospecting activities, 3x increase in qualified meetings booked, 50% improvement in email response rates through AI personalization.
Make (Integromat)
Approach: Make (Integromat) automates the entire outbound prospecting workflow using AI. The platform identifies ideal customer profiles, enriches contact data from multiple sources, and generates personalized email sequences at scale. Sales teams can set targeting criteria and let the AI handle research, outreach, and follow-ups.
Outcome: 70% time savings on prospecting activities, 3x increase in qualified meetings booked, 50% improvement in email response rates through AI personalization.
Recommendation: Both Zapier AI and Make (Integromat) support this use case effectively. Compare their approaches and choose based on which aligns better with your existing processes.
Lead Qualification and Scoring
Zapier AI
Approach: Zapier AI uses AI to automatically qualify and score leads based on firmographic data, behavioral signals, and engagement patterns. The system continuously learns from conversion data to improve scoring accuracy and prioritize the highest-value opportunities.
Outcome: 45% increase in lead-to-opportunity conversion, 60% reduction in time spent on unqualified leads, 2x improvement in sales team productivity.
Make (Integromat)
Approach: Make (Integromat) uses AI to automatically qualify and score leads based on firmographic data, behavioral signals, and engagement patterns. The system continuously learns from conversion data to improve scoring accuracy and prioritize the highest-value opportunities.
Outcome: 45% increase in lead-to-opportunity conversion, 60% reduction in time spent on unqualified leads, 2x improvement in sales team productivity.
Recommendation: Both Zapier AI and Make (Integromat) support this use case effectively. Compare their approaches and choose based on which aligns better with your existing processes.
Industry-Specific Fit
| Industry | Zapier AI | Make (Integromat) | Better Fit |
|---|---|---|---|
| SaaS | Zapier AI serves as the connective tissue for SaaS companies managing complex technology stacks with dozens of specialized tools. These organizations rely on automation to synchronize customer data between CRM, support, billing, and product systems; automate customer onboarding sequences that span multiple platforms; trigger usage-based billing calculations; and maintain data consistency across sales, marketing, and customer success tools. The platform's extensive integration library covers virtually every SaaS tool, while AI-powered workflow creation enables product and operations teams to build automations without engineering resources. | Not specified | Zapier AI |
| E-commerce | E-commerce businesses leverage Zapier AI to automate the complex workflows spanning order management, inventory control, customer communication, and fulfillment operations. Automations connect Shopify, WooCommerce, or BigCommerce stores with payment processors like Stripe, shipping providers like ShipStation, accounting systems like QuickBooks, and marketing platforms like Klaviyo. Common workflows include automatic order confirmation emails, inventory level synchronization across channels, abandoned cart recovery sequences, review request automation, and customer segmentation based on purchase behavior. | Make serves e-commerce businesses by automating the complex workflows that span order management, inventory synchronization, customer communication, and fulfillment operations. Online retailers use Make to connect their storefronts (Shopify, WooCommerce, BigCommerce) with inventory systems, shipping carriers, accounting software, and customer service platforms, ensuring that orders flow seamlessly from purchase to delivery without manual intervention. Common automations include syncing product catalogs across multiple sales channels, automatically updating inventory levels when orders are placed, generating shipping labels and tracking notifications, and triggering post-purchase email sequences. | Tie |
| Financial Services | Financial services organizations use Zapier AI to streamline operations while maintaining compliance with regulatory requirements. Automations handle invoice processing and accounts payable workflows, expense report routing and approval, financial data synchronization between banking and accounting systems, client communication sequences, and compliance documentation. The platform's security certifications and audit logging support regulatory requirements, while AI-powered automation reduces manual data entry errors in sensitive financial processes. | Financial services firms use Make to automate data processing, client reporting, compliance workflows, and operational processes. The platform connects trading systems, portfolio management tools, CRM systems, and reporting platforms. Common automations include aggregating data from multiple sources for client reports, automating compliance documentation, syncing client information across systems, and triggering alerts based on market conditions or account changes. | Tie |
| Healthcare | Healthcare organizations leverage Zapier AI to improve patient experience and operational efficiency while maintaining HIPAA compliance. Automations support patient appointment scheduling and reminders, intake form processing, insurance verification workflows, patient communication sequences, and medical record synchronization between systems. The platform's compliance infrastructure and data security measures enable healthcare-specific workflows, while automation reduces administrative burden on clinical staff. | Healthcare organizations leverage Make to automate patient communication, appointment management, and administrative workflows while maintaining compliance with privacy regulations. The platform connects electronic health record systems, scheduling software, patient communication tools, and billing systems. Healthcare providers use Make to automate appointment reminders, patient intake form processing, insurance verification workflows, and care coordination communications between providers. | Tie |
| Marketing & Advertising | Marketing teams rely on Zapier AI to orchestrate campaigns across fragmented tool ecosystems and automate repetitive tasks that consume creative bandwidth. Automations handle lead capture and CRM synchronization, email campaign triggering based on behavior, social media content scheduling, analytics data aggregation, and customer journey orchestration. The AI workflow builder enables marketers to create sophisticated multi-channel automations without technical resources, while templates provide proven patterns for common marketing workflows. | Marketing teams leverage Make to orchestrate campaigns across multiple channels, synchronize audience data between platforms, and automate reporting workflows. The platform connects advertising platforms (Google Ads, Facebook Ads, LinkedIn), email marketing tools (Mailchimp, ActiveCampaign, HubSpot), social media management systems, and analytics platforms into unified workflows. Marketers use Make to automatically sync leads from ad campaigns to CRM systems, trigger personalized email sequences based on user behavior, aggregate campaign performance data into dashboards, and coordinate content publishing across social channels. | Tie |
| Human Resources | HR departments use Zapier AI to automate people processes from recruitment through offboarding. Automations streamline candidate tracking and interview scheduling, new hire onboarding sequences spanning multiple systems, employee data synchronization between HRIS and payroll, time-off request routing and approval, and performance review workflows. The platform connects specialized HR tools with broader business systems, ensuring employee data flows correctly while reducing administrative overhead on HR teams. | Not specified | Zapier AI |
| Real Estate | Real estate professionals leverage Zapier AI to automate lead management, client communication, and transaction workflows in a relationship-intensive industry. Automations handle lead capture from multiple sources, property matching and alert notifications, showing scheduling and follow-up sequences, transaction document routing, and client communication throughout the buying or selling process. Integration with real estate-specific platforms like Zillow, Realtor.com, and transaction management systems enables industry-specific workflows. | Real estate professionals use Make to automate lead management, property listing syndication, transaction coordination, and client communication workflows. The platform connects CRM systems, listing platforms, document management tools, and communication channels. Agents and brokerages automate lead capture and distribution, property alert notifications, transaction milestone tracking, and marketing campaign coordination across multiple listing services. | Tie |
| Manufacturing | Manufacturing organizations use Zapier AI to connect operational technology with business systems and automate supply chain workflows. Automations support purchase order processing, inventory management and reorder triggering, supplier communication, quality control documentation, and production reporting. The platform bridges gaps between specialized manufacturing systems and standard business applications, enabling data flow that improves visibility and reduces manual coordination across complex supply chains. | Not specified | Zapier AI |
Our Verdict
Zapier AI and Make (Integromat) are both strong AI Operations solutions. Make (Integromat) stands out for ai workflow builder. Both support key use cases like ai sdr: automated outbound prospecting, but with different approaches. Choose based on which specific features and approach best fit your workflow and requirements.
Choose Zapier AI if you:
- ✓You operate in SaaS
- ✓AI SDR: Automated Outbound Prospecting is your primary use case
- ✓You prefer Zapier AI's approach to ai operations
Choose Make (Integromat) if you:
- ✓You need ai workflow builder capabilities
- ✓You need multi-app integration hub capabilities
- ✓You operate in E-commerce
- ✓AI SDR: Automated Outbound Prospecting is your primary use case
Need Help Choosing?
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Sources & Evidence
AI-powered workflow automation with natural language processing that allows users to describe tasks in plain English and automatically generate multi-step workflows across 6,000+ integrated applications
Source: Zapier's AI features enable users to create complex automations by simply describing what they want to accomplish, with the AI interpreting intent and building the necessary workflow steps. This capability is powered by advanced NLP models that understand business context and can map natural language descriptions to specific triggers, actions, and conditions across the platform's ecosystem of 6,000+ pre-built application connectors. Users report reducing workflow creation time from hours to minutes, with the AI handling the technical complexity of API configurations, data mapping, and conditional logic automatically.
Visual scenario builder with AI-powered automation suggestions and natural language workflow creation for building complex multi-step automations without coding
Source: Make's visual scenario editor combined with AI capabilities allows users to build workflows by connecting apps visually on an infinite canvas, with AI suggesting automation patterns and optimizations based on usage patterns. The platform processes over 2 billion operations monthly across its user base and supports 1,500+ pre-built integrations with native connectors, making it one of the most comprehensive no-code automation platforms available. Users can describe workflows in plain English and have Make generate the corresponding automation structure, dramatically reducing time-to-value for new automations.