Best Make (Integromat) Alternatives in 2026
AI-powered Make.com alternative with autonomous agents and 1,500+ no-code integrations. See how Arahi AI compares to Make, Zapier, and n8n on price and fe…
Make is a powerful visual automation platform, but its canvas becomes overwhelming once scenarios grow past a handful of modules, and even then it is still a rule-based engine — it moves data well but cannot reason about what to do next. Teams looking for a Make alternative in 2026 usually want one of two things: a simpler no-code experience for non-technical users, or true AI agents that can make decisions inside a workflow instead of relying on hand-built router logic. Arahi AI delivers both, with a plain-English builder, 1,500+ integrations, and autonomous agents that handle context and exceptions without a human.
About Make (Integromat)
Make, formerly Integromat, is a visual automation platform that lets users design multi-step workflows using a drag-and-drop canvas. It supports complex branching, loops, and data transformations across hundreds of integrations.
Where Make (Integromat) falls short
- Steep learning curve: The visual builder is powerful but overwhelming for non-technical users who need simple automations.
- No AI agent capabilities: Make routes data between apps but cannot autonomously research, reason, or make intelligent decisions on your behalf.
- Limited error handling: Debugging complex scenarios with multiple branches and error paths often requires technical expertise.
- Performance bottlenecks: Large data-volume scenarios can time out or require premium plans to handle adequately.
Why teams pick Arahi AI
- AI agents that think, not just automate: Unlike Make (Integromat), Arahi AI deploys autonomous agents that can research, reason, and make intelligent decisions throughout your workflows — not just follow rigid rules.
- 1,500+ integrations out of the box: Connect to any tool in your stack without custom development. Arahi AI natively integrates with CRMs, email, chat, databases, and hundreds more.
- Set up in minutes, not months: Deploy your first AI agent in under 15 minutes with our no-code builder. No technical expertise or professional services required.
- Pay for value, not seats: Unlike Make (Integromat)'s per-seat or per-task pricing, Arahi AI pricing scales with the value you get — start with the Starter plan and upgrade as your automation needs grow.
Make (Integromat) alternatives
- Arahi AI
- Arahi AI provides autonomous AI agents that go beyond simple automation. Each agent can research, reason, and execute complex business tasks end-to-end, connecting to 1,500+ tools with intelligent decision-making at every step.
- Best for: Teams that want AI-powered agents that think and act autonomously, not just rule-based automations.
- Pricing: Paid plans from $49/month with 850 credits. Paid plans scale with usage.
- Zapier
- Zapier is a popular no-code automation platform that connects over 6,000 apps through trigger-action workflows called Zaps. It is widely used by small businesses and teams to automate repetitive tasks without writing code..
- Best for: Organizations looking for a similar tool with different strengths and pricing.
- Pricing: Free tier or trial available. Paid plans vary.
- n8n
- n8n is an open-source workflow automation tool that gives technical teams full control over their automations. It can be self-hosted, making it popular with developers who want flexibility, custom nodes, and no vendor lock-in..
- Best for: Teams evaluating a switch from Make (Integromat) who want a tool in the Automation category with a different feature set.
- Pricing: Free tier or trial available. Paid plans vary.
- Tray.io
- Tray.io is an enterprise-grade integration platform that allows businesses to connect cloud applications through a visual workflow builder. It is designed for operations teams that need to automate complex, cross-functional business processes at scale..
- Best for: Teams evaluating a switch from Make (Integromat) who want a tool in the Automation category with a different feature set.
- Pricing: Free tier or trial available. Paid plans vary.
- Workato
- Workato is an enterprise integration and automation platform that combines iPaaS capabilities with workflow automation. It is widely used by large organizations to orchestrate complex business processes across departments..
- Best for: Teams evaluating a switch from Make (Integromat) who want a tool in the Automation category with a different feature set.
- Pricing: Free tier or trial available. Paid plans vary.
- Activepieces
- Activepieces is an open-source automation platform that offers a visual builder for creating multi-step workflows. It positions itself as a self-hostable alternative to Zapier with a growing library of integrations..
- Best for: Organizations looking for a similar tool with different strengths and pricing.
- Pricing: Free tier or trial available. Paid plans vary.
Feature comparison
| Feature | Arahi AI | Make | Zapier | n8n |
|---|---|---|---|---|
| Starting price | $49/mo | $9/mo | $19.99/mo | Free self-hosted |
| Free tier | Yes — 850 credits | Yes — 1,000 ops | Yes — 100 tasks | Yes — self-hosted |
| AI agents (reason + decide) | Yes — native | Early (AI Agents beta) | Limited (Zapier AI) | Via custom LLM nodes |
| Integrations | 1,500+ | 2,400+ | 6,000+ | 1,100+ |
| No-code setup | Yes — plain English | Yes — visual canvas | Yes | Partial |
| Learning curve | Low | Medium-High | Low | High |
| Self-hostable | Enterprise only | No | No | Yes |
What teams use it for
- Replace 20-module Make scenarios with a single agent
- Instead of branching routers and iterators, describe the outcome in plain English. The Arahi agent handles the logic, retries, and edge cases that would otherwise sprawl across a Make canvas.
- Intelligent document processing
- Make can parse a PDF, but it cannot decide whether a contract needs legal review. Arahi AI agents read, classify, extract fields, and route documents based on what they contain.
- Customer onboarding with context
- An agent reads the new signup, researches the company, personalizes the welcome sequence, and creates CRM tasks based on fit — no static branching tree required.
How the options line up
| Tool | Starting price | Free tier | AI agents | Integrations |
|---|---|---|---|---|
| Arahi AI | $49/mo | Yes — 850 credits | Yes — native | 1,500+ |
| Make (Integromat) | $9 per month (Core) plus per-operation usage | Yes | AI Agents (beta) | 2,400+ |
| Zapier | $19.99/mo | Yes | Limited (Zapier AI) | 6,000+ |
| n8n | ||||
| Workato |
Frequently asked questions
- Is there a cheaper alternative to Make.com?
- Make starts cheaper at $9/mo, but costs climb with operations and advanced features. Arahi is $49/mo flat with AI agents included. n8n is the cheapest if you can self-host.
- Which Make alternative is easiest for non-technical users?
- Arahi — workflows are plain English. Zapier is a close second. Make and n8n both require canvas or node-graph learning.
- Can I migrate my Make scenarios to Arahi?
- There is no scenario importer; the model is different. Most teams take each scenario's outcome and rebuild it as an Arahi agent in plain English. Usually 15-30 minutes per scenario.
- Does Make AI Agents replace the need for Arahi?
- Make AI Agents is a beta addition to a rule-based engine. Arahi was built around agents from the start, so the agent layer is the product, not a plugin.
- Does Arahi support the same number of integrations as Make?
- Arahi has 1,500+ integrations to Make's 2,400+. For long-tail apps Make may have a connector Arahi does not; for the high-volume stack (HubSpot, Salesforce, Slack, Gmail, Notion, Linear, Stripe), both cover it.
- Is Arahi as flexible as Make for complex scenarios?
- Different shape of flexibility. Make is more flexible visually (every node, every branch). Arahi is more flexible operationally — an agent handles novel inputs without being explicitly programmed for them.
- What is the catch?
- For teams that want every knob visible on a canvas, Make is still the better fit. Arahi optimizes for outcome-shaped descriptions over node-shaped scenarios.