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…
20 modules, 4 routers, 3 iterators — and a router that mis-classified the edge case.
- Router 2 → no matching path
- Iterator times out on >500 rows
- Operations: 9,420 / 10,000 used
- OA
Onboarding Agent
Researches signup, personalizes welcome, creates CRM tasks
Running - DC
Doc Classifier
Reads PDFs, decides legal/finance/ops routing
Running - RW
Renewal Watcher
Flags at-risk accounts before churn signal hits
Queued
Replace a 20-module canvas with one agent. Describe the outcome — the agent handles routers, retries, and edge cases.
Should you switch to Arahi or stick with Make (Integromat)?
Pick Arahi if…
- You want plain-English builds instead of a visual canvas you have to learn.
- You need native AI agents, not a beta layer on top of a rule-based engine.
- You are tired of watching the operations meter and want flat pricing.
Stick with Make (Integromat) if…
- You have a strong technical operator who already knows the Make canvas.
- You want fine-grained control over multi-step scenarios with custom error handling.
- Make is your $9/mo entry point and that price matters more than AI execution.
- Integrations
- 1,500+
- Agent templates
- 200+
- Setup time
- 10 min
- Required
- No code
What is 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.
While Make (Integromat) is a solid choice for many teams, it is not the only option. Whether you are looking for better pricing, more advanced AI capabilities, or a different approach to Automation, the alternatives below offer compelling options for businesses of all sizes.
Where Make (Integromat) falls short
Common pain points that lead teams to look for Make (Integromat) alternatives — and the Arahi pattern that replaces them.
20 modules, 4 routers, 3 iterators — and an iterator that timed out at row 612 of a 4,000-row run.
- Iterator timeout at row 612
- Router 2 · no matching path for the edge case
- Operations: 9,420 / 10,000 monthly used
When
Same trigger · new HubSpot form submission
Plan
Enrich, score, route hot leads to Slack with rationale, log the touch — retries and edge cases handled.
Plain English replaces the canvas. No router config to draw, no operations meter to watch.
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.
Side by side
Make (Integromat) vs Arahi AI vs top alternatives
Features, pricing, and AI capabilities at a glance.
| Feature | Arahi AI | Make (Integromat) | Zapier | n8n | Workato |
|---|---|---|---|---|---|
| Starting price | $49/mo | $9 per month (Core) plus per-operation usage | $19.99/mo | — | — |
| Free tier | Yes — 850 credits | Yes | Yes | — | — |
| AI agents | Yes — native | AI Agents (beta) | Limited (Zapier AI) | — | — |
| Integrations | 1,500+ | 2,400+ | 6,000+ | — | — |
| No-code setup | Yes | Yes — visual canvas | Yes | — | — |
| Multi-step branching | Yes | Yes | Yes | — | — |
| Self-hostable | Enterprise only | No | No | — | — |
Why look for a Make (Integromat) alternative?
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.
Best Make (Integromat) alternatives
Compare the top alternatives to Make (Integromat) by features, pricing, and AI capabilities.
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.
Why choose Arahi AI over Make (Integromat)
Go beyond basic automation with AI agents that think, decide, and act.
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.
Switching from Make (Integromat) to Arahi in 4 steps
Most teams get a first agent live in the same afternoon they sign up.
- 1
List your active Make scenarios
For each, note the trigger, the outcome, and how often it runs.
- 2
Rebuild the top three as Arahi agents
Describe the outcome in plain English. Connect the same apps. The agent handles the routing automatically.
- 3
Run side-by-side for a week
Make handles existing scenarios; Arahi handles the rebuilt ones. Compare runs and reasoning.
- 4
Migrate as confidence grows
Most teams move 60-80% of scenarios within a month, then decide whether the remaining canvas-shaped ones stay in Make.
In the wild
Where Arahi AI beats Make (Integromat)
Real workflows where autonomous AI agents outperform rule-based automation.
One agent replaces a 20-module scenario
Describe the outcome in plain English; the agent handles the routing, retries, and edge cases that would sprawl across a Make canvas.
When
New form submission lands in HubSpot
Plan
Enrich the contact, score against ICP, route hot leads to Slack with the rationale, log the touch.
Intelligent document processing
Make parses a PDF. The Arahi agent reads it, classifies, and routes based on what is inside — no static branching.
- CC
Contract Classifier
Reads the PDF, decides legal/finance/ops routing
Running - FE
Field Extractor
Pulls counterparty, dates, value into structured fields
Running - AR
Approval Router
Pings the right approver in Slack with redacted summary
Queued
Customer onboarding with context
Agent reads the signup, researches the company, personalizes the welcome, and files CRM tasks based on fit.
Real teams, real results
500+ teams running Arahi
We replaced three different point tools and a part-time VA with Arahi. The first agent we built paid for itself in two weeks.
Honest take
When Make (Integromat) is the right choice
Pick Make if your team has a strong technical operator who already knows the canvas, you need fine-grained control over multi-step scenarios with custom error handling, or you want to pay $9/mo at the low end. Make's visual canvas remains the most expressive node-graph model in the no-code space — if visual orchestration is itself the goal, Make is still the right tool.
Questions
Frequently asked questions
Common questions about Make (Integromat) alternatives.
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.
Head-to-head
Arahi AI vs Make (Integromat): the direct comparison
Already weighing Arahi against Make (Integromat)? See the head-to-head breakdown — pricing tiers, feature gaps, and migration paths side by side.
Related resources
Discover more ways Arahi AI can help your business.
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