Make AI
Visual automation platform (formerly Integromat) with AI capabilities for building complex multi-step workflows connecting hundreds of apps without coding.
What is Make AI?
Make (formerly Integromat) is a powerful visual automation platform that connects hundreds of applications through complex multi-step workflows, enhanced with AI capabilities for intelligent data processing and decision-making within automations. Unlike simple automation tools, Make handles complex conditional logic, data transformation, error handling, and iterative processing through a visual canvas that makes sophisticated automation accessible to non-developers while providing depth that developers appreciate.
Make AI has established itself as a significant player in the AI Productivity space, offering a unique combination of features that cater to both individual users and enterprise teams. The platform continues to evolve with regular updates, expanded capabilities, and deeper integrations with popular workflows. Whether you are a seasoned professional looking to accelerate your output or a newcomer exploring AI-powered tools for the first time, Make AI provides an accessible entry point with room to grow into advanced use cases as your needs develop.
Key Features
- Visual scenario builder: Drag-and-drop automation creation with complex branching logic
- 1000+ app integrations: Connect virtually any business tool in multi-step workflows
- AI modules: Add GPT, Claude, and other AI processing within automation steps
- Data transformation: Advanced data mapping, filtering, and restructuring between apps
- Error handling: Sophisticated error recovery, retry logic, and fallback workflows
- Webhooks and APIs: Custom integrations with any service via HTTP requests
- Scheduling: Trigger automations on custom schedules or real-time events
- Templates: Pre-built automation scenarios for common business workflows
Beyond these core capabilities, Make AI also provides robust documentation, responsive customer support, and an active user community that shares tips, templates, and best practices. The platform invests heavily in model improvements and feature development, with notable updates typically released on a monthly cadence that continuously expand what users can accomplish.
Who Should Use Make AI?
Operations teams automating complex business processes. Marketing teams building sophisticated lead nurturing workflows. E-commerce businesses connecting inventory, orders, and fulfillment. Agencies managing multi-tool workflows for clients. Technical non-developers who need automation more powerful than Zapier. Data teams orchestrating ETL processes without coding.
Teams ranging from two to three people up to enterprise organizations with hundreds of users find value in Make AI's collaborative features and scalable pricing. The platform is particularly well-suited for professionals who need to produce high-quality output consistently without spending excessive time on manual processes. Freelancers and agencies also benefit from the efficiency gains, enabling them to take on more clients and projects without proportionally increasing their workload or operational costs.
Pricing Breakdown
Free (1,000 ops/mo) / Core $10.59/mo / Pro $18.82/mo / Teams $34.12/mo — this pricing structure is designed to accommodate users at every stage, from individuals testing the waters to enterprise teams requiring advanced features, priority support, and enhanced security controls. The entry-level plans provide enough capability for meaningful evaluation and light production use.
In Indian Rupees, the pricing translates to approximately Free / Core ₹879/mo / Pro ₹1,562/mo / Teams ₹2,831/mo. Annual billing typically offers 15-20% savings compared to monthly payments, making it worthwhile for users committed to long-term use. Many plans include a free trial or money-back guarantee period, allowing risk-free evaluation before financial commitment.
For teams and organizations, volume discounts and custom enterprise agreements are typically available through the sales team. These enterprise plans often include dedicated account management, custom onboarding, SLA guarantees, and advanced security features like SSO, audit logs, and data residency options that growing organizations require.
How to Get Started
Step 1: Create Scenario
Open the visual builder and add your trigger app.
Step 2: Build Workflow
Connect additional apps and add logic, filters, and data transformations.
Step 3: Add AI Processing
Include AI modules for intelligent data handling within workflows.
Step 4: Test and Activate
Run test executions and activate for production use.
Most users report becoming productive within the first session, though mastering advanced features typically takes one to two weeks of regular use. The platform provides onboarding tutorials, documentation, and community resources to accelerate the learning process and help you extract maximum value from day one.
Pros and Cons
What We Like
- More powerful and flexible than Zapier for complex multi-step workflows
- Visual canvas makes complex logic understandable and debuggable
- AI modules add intelligence to automation workflows natively
- Significantly more affordable than Zapier at comparable usage levels
- Error handling capabilities far superior to simpler automation tools
What Could Be Better
- Steeper learning curve than simpler tools like Zapier
- Visual builder can become complex and hard to maintain for large scenarios
- Some integrations less mature or feature-complete than Zapier's
- Documentation and community smaller than Zapier's ecosystem
Despite these limitations, the overall value proposition remains strong for users within the target audience. The development team actively addresses user feedback, and many current limitations are on the product roadmap for improvement in upcoming releases.
Alternatives to Consider
The main alternatives to Make AI include Zapier, n8n, Power Automate, Tray.io, Workato. Each of these competitors has distinct strengths — some offer lower pricing, others provide specialized features for specific use cases, and some excel in particular aspects of quality or user experience. The right choice depends on your specific priorities: budget constraints, feature requirements, team size, integration needs, and the particular workflows you need to support.
When evaluating alternatives, consider not just the current feature set but the trajectory of each platform. Make AI has demonstrated consistent improvement and expansion, which suggests continued investment in the product. However, competitors are also innovating rapidly in this space, making it worthwhile to evaluate multiple options before committing to a long-term relationship with any single platform.
Our Verdict
Make is the power user's automation platform — offering significantly more capability than Zapier at lower pricing for users willing to invest in learning the visual builder. The AI modules add genuine intelligence to workflows, and the error handling enables production-grade automation. Best for operations teams needing complex multi-step workflows beyond simple trigger-action patterns.
For users who fit the target audience profile, Make AI represents a worthwhile investment that typically pays for itself through time savings and quality improvements within the first month of regular use. We recommend starting with the most affordable paid plan to properly evaluate the full feature set before deciding on long-term commitment. The combination of quality, usability, and value makes Make AI a solid choice in the AI Productivity category for 2025 and beyond.
PROS
- ✓ More powerful and flexible than Zapier for complex multi-step workflows
- ✓ Visual canvas makes complex logic understandable and debuggable
- ✓ AI modules add intelligence to automation workflows natively
- ✓ Significantly more affordable than Zapier at comparable usage levels
- ✓ Error handling capabilities far superior to simpler automation tools
CONS
- ✗ Steeper learning curve than simpler tools like Zapier
- ✗ Visual builder can become complex and hard to maintain for large scenarios
- ✗ Some integrations less mature or feature-complete than Zapier's
- ✗ Documentation and community smaller than Zapier's ecosystem