--- title: "Make vs Zapier for AI Automation: Which Wins in 2026?" description: "Make vs Zapier for AI automation in 2026: pricing, AI agents, workflow complexity, and which platform wins for your team. 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The pricing gap widens significantly at enterprise scale." }, { "@type": "WebPageElement", "isAccessibleForFree": true, "name": "Integrations: 7,000 vs 1,500 — Does the Gap Matter?", "url": "https://alicelabs.ai/en/insights/make-vs-zapier-ai-comparison#integrations-comparison", "description": "Zapier's 7,000+ integrations represent a genuine competitive moat. For most enterprise teams, however, the 80/20 rule applies — the platforms they actually need are covered by both. The gap matters most when you depend on niche SaaS tools." }, { "@type": "WebPageElement", "isAccessibleForFree": true, "name": "Workflow Complexity: Visual Scenarios vs Linear Zaps", "url": "https://alicelabs.ai/en/insights/make-vs-zapier-ai-comparison#workflow-complexity", "description": "Make's visual scenario editor handles multi-branch, conditional AI workflows significantly better than Zapier's linear step model. 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Make's operations-based pricing delivers roughly 3–5x more workflow executions per dollar than Zapier's task-based model at comparable tiers (2sync, May 2026). The gap widens at high volume: a 5-step workflow running 10,000 times per month consumes 50,000 tasks on Zapier vs 50,000 operations on Make, but Make's tier pricing makes those operations substantially less expensive." } }, { "@type": "Question", "name": "Does Make have AI agents?", "acceptedAnswer": { "@type": "Answer", "text": "Yes, but they are in public beta as of mid-2026. Make's AI Agents entered public beta in April 2026. The feature allows autonomous decision-making within scenarios but lacks the production-ready polish and template library of Zapier's AI Agents. Teams needing stable agent workflows in 2026 should evaluate Zapier Agents first, then revisit Make Agents when the feature reaches general availability." } }, { "@type": "Question", "name": "How many integrations does Make have compared to Zapier?", "acceptedAnswer": { "@type": "Answer", "text": "Zapier offers 7,000+ app integrations in 2026; Make has approximately 1,500 native modules. However, Make's open HTTP module allows connection to any REST API — technically eliminating the ceiling for technically capable users. For most enterprise core SaaS stacks (Salesforce, HubSpot, Slack, Google Workspace, Microsoft 365), both platforms have native coverage." } }, { "@type": "Question", "name": "What is the difference between Integromat and Make?", "acceptedAnswer": { "@type": "Answer", "text": "Integromat and Make are the same platform. Integromat was rebranded to Make.com in 2022, with a significantly expanded feature set including the visual canvas editor, AI module integrations, and the April 2026 AI Agents beta. If you're comparing 'integromat vs zapier ai', you're looking at the current Make platform — the migration from Integromat is complete." } }, { "@type": "Question", "name": "Which automation platform is better for enterprise AI workflows?", "acceptedAnswer": { "@type": "Answer", "text": "For enterprise AI workflows with multiple steps, conditional routing, and high execution volume, Make is the stronger platform. Its visual scenario editor reduces build time by an estimated 40% for complex pipelines vs Zapier's linear model, and its operations-based pricing is substantially cheaper at scale. For enterprises needing production-ready AI agents in 2026, Zapier is currently ahead. Alice Labs recommends evaluating both against your specific workflow complexity before committing." } }, { "@type": "Question", "name": "Can I use Make and Zapier together?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Several Alice Labs enterprise clients run both platforms in production simultaneously — using Zapier for simple, high-integration-breadth workflows and Make for complex AI pipelines. The platforms don't conflict. Dual-platform approaches make sense when your automation needs are heterogeneous: some simple and integration-dependent, others complex and volume-heavy." } }, { "@type": "Question", "name": "Is Zapier's AI Copilot worth the upgrade?", "acceptedAnswer": { "@type": "Answer", "text": "Zapier Copilot — the natural-language Zap builder — is production-ready and genuinely useful as of 2026. For non-technical users, it dramatically reduces the time to create a first Zap. It's available on the Professional tier and above. If your team is building Zaps regularly and lacks technical automation expertise, the Copilot capability alone can justify the tier upgrade over the Starter plan." } }, { "@type": "Question", "name": "Which platform is better for GDPR compliance in Europe?", "acceptedAnswer": { "@type": "Answer", "text": "Make has a structural advantage for European enterprises. Make offers an EU data region option, keeping data within European infrastructure and eliminating cross-border transfer questions. Zapier operates primarily on US infrastructure and offers Standard Contractual Clauses (SCCs) for GDPR compliance — adequate for most use cases, but potentially insufficient in regulated sectors with strict data sovereignty requirements (financial services, healthcare, energy)." } } ] }, { "@context": "https://schema.org", "@type": "Dataset", "name": "Make vs Zapier for AI Automation: Which Platform Wins in 2026?", "description": "Make vs Zapier for AI automation in 2026: pricing, AI agents, workflow complexity, and which platform wins for your team. 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A Plain-English Guide for Enterprise Teams" }, { "@type": "ListItem", "position": 2, "url": "https://alicelabs.ai/en/insights/ai-automation-use-cases-2026", "name": "AI Automation Use Cases 2026: 40 Examples by Industry" }, { "@type": "ListItem", "position": 3, "url": "https://alicelabs.ai/en/insights/what-is-an-ai-agent", "name": "What Is an AI Agent? Definition, Architecture, and Enterprise Applications" }, { "@type": "ListItem", "position": 4, "url": "https://alicelabs.ai/en/insights/best-ai-agent-frameworks-2026", "name": "Best AI Agent Frameworks 2026: A Technical Comparison" }, { "@type": "ListItem", "position": 5, "url": "https://alicelabs.ai/en/insights/ai-vs-rpa", "name": "AI vs RPA: When to Use Each and How They Work Together" } ] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "Table of Contents", "numberOfItems": 8, "itemListOrder": "https://schema.org/ItemListOrderAscending", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Make and Zapier at a Glance: What Each Platform Is Built For", "url": "https://alicelabs.ai/en/insights/make-vs-zapier-ai-comparison#platforms-at-a-glance" }, { "@type": "ListItem", "position": 2, "name": "AI Capabilities: How Each Platform Handles AI Automation in 2026", "url": "https://alicelabs.ai/en/insights/make-vs-zapier-ai-comparison#ai-capabilities-comparison" }, { "@type": "ListItem", "position": 3, "name": "Pricing Breakdown: Make vs Zapier Cost at Every Tier", "url": "https://alicelabs.ai/en/insights/make-vs-zapier-ai-comparison#pricing-comparison" }, { "@type": "ListItem", "position": 4, "name": "Integrations: 7,000 vs 1,500 — Does the Gap Matter?", "url": "https://alicelabs.ai/en/insights/make-vs-zapier-ai-comparison#integrations-comparison" }, { "@type": "ListItem", "position": 5, "name": "Workflow Complexity: Visual Scenarios vs Linear Zaps", "url": "https://alicelabs.ai/en/insights/make-vs-zapier-ai-comparison#workflow-complexity" }, { "@type": "ListItem", "position": 6, "name": "Enterprise Readiness: Security, Governance, and Scale", "url": "https://alicelabs.ai/en/insights/make-vs-zapier-ai-comparison#enterprise-readiness" }, { "@type": "ListItem", "position": 7, "name": "When to Choose Make vs Zapier: A Decision Guide by Use Case", "url": "https://alicelabs.ai/en/insights/make-vs-zapier-ai-comparison#use-case-decision-guide" }, { "@type": "ListItem", "position": 8, "name": "Alice Labs Verdict: Which Platform Does Our Team Recommend?", "url": "https://alicelabs.ai/en/insights/make-vs-zapier-ai-comparison#alice-labs-verdict" } ] } ] }, { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://alicelabs.ai/en" }, { "@type": "ListItem", "position": 2, "name": "Insights", "item": "https://alicelabs.ai/en/insights" }, { "@type": "ListItem", "position": 3, "name": "AI Automation", "item": "https://alicelabs.ai/en/insights/ai-automation" }, { "@type": "ListItem", "position": 4, "name": "Make vs Zapier for AI Automation: Which Platform Wins in 2026?" } ] } ] --- [Alice Labs](/en/) Services [ What we do ](/#welcome)[ About Alice ](/#who-we-are)[ Case ](/en/case)[ Insights ](/en/insights)[ Contact ](/#email-form) 1. [Home](/en) [Insights](/en/insights) [AI Automation](/en/insights/ai-automation) Make vs Zapier for AI Automation: Which Platform Wins in 2026? AI Automation Comparison Recent Last reviewed: 23 May 2026 · 94d ago # Make vs Zapier for AI Automation: Which Platform Wins in 2026? ## TL;DR Quick Answer Cited by AI > Make wins on price (roughly 5x more operations per dollar) and complex AI workflows; Zapier wins on integrations (7,000+) and ease of use. Choose Make for power, Zapier for simplicity. A hands-on comparison of Make and Zapier across pricing, AI capabilities, workflow complexity, and enterprise readiness — so you can stop guessing and start automating. Make (formerly Integromat) and Zapier are cloud-based workflow automation platforms that connect apps and services via no-code or low-code logic. Both added native AI agent capabilities in 2025–2026, competing directly for AI-driven automation budgets. ![Linus Ingemarsson - Author at Alice Labs](/images/linus-ingemarsson.png) Written by [Linus Ingemarsson ](https://www.linkedin.com/in/linus-ingemarsson/) ![Eric Lundberg - Reviewer at Alice Labs](/images/eric-lundberg.png) Reviewed by [Eric Lundberg ](https://www.linkedin.com/in/eric-lundberg-3530451bb/) Published May 23, 2026 14 min read ## Key Takeaways - Zapier offers 7,000+ app integrations vs Make's ~1,500 native modules, but Make supports more complex branching logic per workflow - Zapier's AI Agents require the Team tier at $103.50/month; Make's AI Agents entered public beta in April 2026 and are available on lower-cost plans - Make's operations-based pricing delivers roughly 3–5x more workflow executions per dollar than Zapier's task-based model at comparable tiers (2sync, May 2026) - Zapier's natural-language Zap builder (Copilot) is production-ready in 2026; Make's AI canvas features are still maturing as of mid-2026 - For enterprise teams running multi-step AI pipelines, Make's visual scenario editor reduces build time by an estimated 40% vs Zapier's linear step model - Alice Labs recommends Zapier for non-technical teams with straightforward integration needs and Make for teams running complex, data-heavy AI automation ### Contents 14 min left - [01 Make and Zapier at a Glance: What Each Platform Is Built For ](#platforms-at-a-glance) - [02 AI Capabilities: How Each Platform Handles AI Automation in 2026 ](#ai-capabilities-comparison) - [03 Pricing Breakdown: Make vs Zapier Cost at Every Tier ](#pricing-comparison) - [04 Integrations: 7,000 vs 1,500 — Does the Gap Matter? ](#integrations-comparison) - [05 Workflow Complexity: Visual Scenarios vs Linear Zaps ](#workflow-complexity) - [06 Enterprise Readiness: Security, Governance, and Scale ](#enterprise-readiness) - [07 When to Choose Make vs Zapier: A Decision Guide by Use Case ](#use-case-decision-guide) - [08 Alice Labs Verdict: Which Platform Does Our Team Recommend? ](#alice-labs-verdict) 01 / 08 Dimension ## Make and Zapier at a Glance: What Each Platform Is Built For In short Zapier is built for breadth and accessibility — connecting the most apps with the least friction. Make is built for depth — handling complex, multi-step, data-intensive workflows with visual precision. Both platforms automate workflows by connecting apps — but their design philosophies diverge sharply from that shared starting point. Zapier optimizes for speed-to-automation for non-technical users. Make optimizes for power users who need sophisticated conditional logic, data transformations, and multi-branch routing. Make vs Zapier: Platform Fundamentals (2026) Attribute Make Zapier Founded 2012 (as Integromat) 2011 Original Name Integromat Zapier HQ Location Prague, Czech Republic Sunnyvale, CA, USA Primary Target User Developers, operations teams, marketing ops Marketers, sales ops, non-technical SMBs Pricing Model Operations-based (each module action = 1 op) Task-based (each action step = 1 task) Native App Integrations ~1,500 native modules 7,000+ AI Feature Status (mid-2026) AI Agents in public beta; native LLM modules GA AI Agents GA (Team+); Copilot GA (Professional+) Free Tier Available Yes (1,000 ops/month) Yes (100 tasks/month) Zapier claims 3+ million users globally — built on the back of the broadest integration library in the no-code automation market. Make targets mid-market and technical SMBs who outgrow Zapier's linear step model. At Alice Labs, across 100+ enterprise AI implementations, we've deployed both platforms across client environments in energy, media, and agri-tech — giving us direct insight into where each excels under production conditions. If your shortlist also includes enterprise-grade vendors beyond no-code tooling, our roundup of the [top AI automation platforms compared](/en/insights/best-ai-automation-companies-2026) covers RPA leaders, agentic AI specialists, and implementation partners side by side. ### What Is Make (and Why It Was Integromat)? Make launched as Integromat in 2012 in Prague. The platform rebranded to Make in 2022 with an expanded feature set — if you're searching "integromat vs zapier ai," you're looking at the same product, now significantly more capable. Make's signature differentiator is its visual canvas editor. Scenarios display data flow as visual graphs rather than linear lists — a design choice that pays dividends when building workflows with 10+ steps and conditional routing. Pricing is operations-based: each module action within a scenario consumes one operation. This model becomes substantially cheaper than Zapier at scale, particularly for multi-step workflows. Make's 2025–2026 AI push includes native OpenAI/Anthropic/Google AI modules, HTTP/webhook AI integrations, and the April 2026 AI Agents public beta. ### What Is Zapier and Who Is It For? Zapier was founded in 2011 in Sunnyvale by Wade Foster, Bryan Helmig, and Mike Knoop. It grew to 3M+ users by positioning itself as the automation tool for people who don't want to code. Zaps are linear trigger-action chains — simple to build, fast to deploy, easy to debug when something breaks. The 7,000+ integrations Zapier offers in 2026 is its primary competitive moat; no other automation platform matches it. Zapier's pricing is task-based: each action step in a Zap consumes one task. This model scales cost quickly for high-volume, multi-step workflows — the critical pricing disadvantage relative to Make at enterprise volumes. If workflow volume is large enough that either tool's pricing becomes the bottleneck, our [AI automation consulting](/en/ai-automation) team typically re-scopes toward self-hosted [n8n for enterprise AI](/en/insights/n8n-for-enterprise-ai) to remove per-task cost from the equation. Integromat is now Make Integromat was rebranded to Make.com in 2022. If you're searching 'integromat vs zapier ai', you're looking at the same Make platform — the product has been fully migrated and significantly expanded since the rebrand. 02 / 08 Dimension ## AI Capabilities: How Each Platform Handles AI Automation in 2026 In short Zapier's AI features are more production-ready but locked behind higher pricing tiers. Make's AI capabilities are broader in scope for power users but still maturing, with AI Agents entering beta only in April 2026. Both platforms pivoted hard toward AI automation in 2024–2025 — but they took fundamentally different approaches to how AI integrates into workflows. Zapier built a polished, accessible AI layer on top of its existing integration library. Make built a flexible, open AI architecture that rewards technically capable teams willing to configure more deeply. ### Zapier AI Features: Copilot, AI Agents, and Inline AI Steps Zapier's AI architecture has three distinct layers, each targeting a different level of automation sophistication. - **Layer 1 — Copilot:** Users type a plain-English description of what they want to automate; Copilot drafts the Zap structure. Available on Professional tier and above. Production-ready and genuinely useful for non-technical users as of 2026. - **Layer 2 — AI by Zapier:** An inline action step that calls OpenAI, Anthropic, or Google models to process, classify, summarize, or generate text. Available from Starter tier — the most accessible AI entry point Zapier offers. - **Layer 3 — AI Agents:** Autonomous agents that reason across multiple steps, use tools (web search, send emails, query databases), and make decisions without a fixed trigger-action path. Gated at the Team tier ($103.50/month). Zapier Agents are the most polished autonomous agent offering on any no-code platform as of 2026, per NextAutomation (April 2026). In Alice Labs' client work, Zapier Agents perform particularly well for CRM enrichment and lead qualification workflows that don't require complex data transformations. ### Make AI Features: Native Modules, HTTP Flexibility, and AI Agents Beta Make's core AI strength is architectural openness. Any AI API can be called via the HTTP module — giving technically capable teams more flexibility than Zapier's curated integration list. Native AI modules (OpenAI chat/vision/embeddings, Anthropic Claude, Google Gemini, Hugging Face) are available on all paid plans — no premium tier required for basic LLM access. Make's most powerful AI use case is multi-branch conditional processing. A scenario can take AI-analyzed output — say, customer email sentiment — and route it to entirely different response workflows based on the classification result. Zapier's linear architecture makes this pattern significantly harder to build. Make AI Agents entered public beta in April 2026. Beta status means occasional instability, limited documentation, and far fewer pre-built templates compared to Zapier Agents. Per 2sync (Simo Elalj, May 2026), Make wins for complex AI pipeline scenarios — but teams needing stable agent workflows today face a real production readiness gap. AI Feature Comparison: Make vs Zapier (2026) AI Feature Make Zapier Native LLM integrations OpenAI, Anthropic Claude, Google Gemini, Hugging Face OpenAI, Anthropic, Google AI AI Agent capability Yes — public beta (April 2026) Yes — GA on Team+ tier Natural language workflow builder Limited / maturing Yes — Copilot (Professional+) Minimum plan for AI features Core (~$10.59/mo) for native LLM modules Starter for AI by Zapier; Team ($103.50/mo) for Agents Custom AI API support (HTTP/webhook) Yes — any API via HTTP module Limited — webhooks only, no open HTTP Multi-branch AI routing Native — core platform capability Limited — requires workarounds Production readiness (AI features) LLM modules: GA / Agents: Beta All AI features: Stable / GA Make AI Agents: Still in Beta Make's AI Agents entered public beta in April 2026. As of mid-2026, the feature lacks the production-ready polish of Zapier's AI Agents. Teams needing stable AI agent workflows today should factor this into their platform decision. Zapier AI Agents Cost Floor Zapier's AI Agents are only available on the Team plan ($103.50/month) and above — making them inaccessible for solo users and small teams on Starter or Professional tiers. Source: AI:PRODUCTIVITY, March 2026. 03 / 08 Dimension ## Pricing Breakdown: Make vs Zapier Cost at Every Tier In short Make is substantially cheaper than Zapier at every comparable tier, delivering roughly 3–5x more workflow executions per dollar. The pricing gap widens significantly at enterprise scale. Make wins on price at every tier — and the margin is not marginal. At comparable mid-tier plans, Make delivers roughly 3–5x more workflow executions per dollar than Zapier (2sync, Simo Elalj, May 2026). The core reason: Make's operations-based model counts each module action once. Zapier's task-based model charges one task per action step per Zap run — multi-step workflows become expensive fast. Make vs Zapier: Pricing Tiers Compared (2026) Tier Make Plan Make Price Zapier Plan Zapier Price Free Free $0 (1,000 ops/mo) Free $0 (100 tasks/mo) Entry Core ~$10.59/mo (10,000 ops) Starter ~$19.99/mo (750 tasks) Mid-tier Pro ~$18.82/mo (40,000 ops) Professional ~$49/mo (2,000 tasks) Team Teams ~$34.12/mo (80,000 ops) Team $103.50/mo (2,000 tasks + AI Agents) Enterprise Enterprise Custom pricing Enterprise Custom pricing The hidden cost in Zapier's model emerges at scale. A 5-step Zap running 1,000 times per month consumes 5,000 tasks. The equivalent Make scenario consumes 5,000 operations — but Make's plans include significantly more operations per dollar at every tier. For enterprise teams running hundreds of multi-step AI workflows daily, the cumulative cost difference between platforms can represent tens of thousands of dollars annually. This is a primary reason Alice Labs consistently steers high-volume automation clients toward Make during platform selection engagements. ### Operations vs Tasks: Why the Pricing Model Matters More Than the List Price The operations-vs-tasks distinction is the most misunderstood element of the Make vs Zapier pricing comparison. List prices look comparable at a glance — the execution volume differences are where the real cost diverges. - **Make operations:** Every module action in a scenario counts as one operation — whether that's an API call, a data transformation, or a conditional router step. Plans scale in large operation bundles. - **Zapier tasks:** Every action step in a Zap = one task consumed. A trigger does not consume a task, but every subsequent step does. Filters and formatters that don't complete (e.g., a filter that stops a Zap) still consume a task in some configurations. - **AI step costs:** Both platforms count AI-powered steps as standard tasks/operations — no separate AI execution surcharge at the workflow level (though underlying model API costs apply separately if using your own keys). The practical implication: teams evaluating "make.com vs zapier 2026" purely on headline pricing are missing the volume math. Run the numbers on your actual workflow step counts and monthly execution frequency before committing. Make Delivers ~5x More Executions Per Dollar At comparable mid-tier plans, Make delivers roughly 3–5x more workflow executions per dollar than Zapier's task-based model. The gap widens further at enterprise volumes. Source: 2sync, Simo Elalj, May 2026. Run Your Volume Math First Before choosing a platform, calculate: (average steps per workflow) × (monthly workflow runs) = monthly task/operation consumption. Compare that number against each platform's tier limits — not the headline price. 04 / 08 Dimension ## Integrations: 7,000 vs 1,500 — Does the Gap Matter? In short Zapier's 7,000+ integrations represent a genuine competitive moat. For most enterprise teams, however, the 80/20 rule applies — the platforms they actually need are covered by both. The gap matters most when you depend on niche SaaS tools. Zapier's 7,000+ app integrations in 2026 represent the largest integration library in no-code automation — roughly 4.5x Make's ~1,500 native modules. For many enterprise teams, this headline number overstates the practical gap. The apps that drive 80% of enterprise automation volume — Salesforce, HubSpot, Slack, Google Workspace, Microsoft 365, Notion, Jira, Stripe — are natively supported on both platforms. ### When the Integration Gap Actually Matters The 7,000 vs 1,500 gap becomes a real decision factor in specific scenarios. - **Niche vertical SaaS:** Industry-specific tools (e.g., healthcare EMR systems, construction project management, specialist e-commerce platforms) are far more likely to have a Zapier integration than a Make module. - **Long-tail SMB tools:** Smaller, newer, or regional SaaS products typically build Zapier integrations first due to Zapier's larger user base providing more integration incentive. - **Legacy internal systems:** Zapier has broader pre-built connectors for older enterprise software. Make often requires the HTTP module workaround. Make's counter-argument is the HTTP module. Any REST API — regardless of whether Make has a native module — can be called directly. This requires more configuration but effectively eliminates the integration ceiling for technically capable teams. In Alice Labs' implementation experience, the integration gap has been a deciding factor in fewer than 20% of platform selection engagements. Most enterprise environments operate within the core SaaS stack that both platforms cover well. Make's HTTP Module Is a Workaround — Not a Full Solution Make's open HTTP module can reach any REST API, which theoretically covers any integration gap. In practice, custom HTTP configurations require developer time to set up, maintain, and debug — a cost Zapier's native integrations eliminate. 05 / 08 Dimension ## Workflow Complexity: Visual Scenarios vs Linear Zaps In short Make's visual scenario editor handles multi-branch, conditional AI workflows significantly better than Zapier's linear step model. For enterprise AI pipelines with 10+ steps and multiple routing conditions, Make reduces estimated build time by 40%. This is the dimension where Make's architectural advantage is most pronounced — and where Zapier's simplicity becomes a genuine constraint at scale. Zapier Zaps are linear: trigger → action → action → action. Branching requires separate Zaps connected by triggers, which adds latency, complicates debugging, and increases task consumption. ### Make's Visual Canvas: Why It Matters for AI Workflows Make's scenario editor displays the entire workflow as a visual graph. Every module is a node; every connection is a visible edge. Conditional routers, error handlers, and parallel processing branches are all visible on a single canvas. For AI workflows specifically, this matters because AI-powered scenarios tend to be branchy. A customer support automation might classify an incoming message, route it based on sentiment and category, call different LLM prompts depending on the route, and merge outputs before responding. Building this in Make takes hours. Building the equivalent in Zapier requires multiple separate Zaps and careful orchestration. Alice Labs' implementation team estimates Make's visual scenario editor reduces build time by approximately 40% for complex, multi-step AI pipelines compared to Zapier's linear model. This estimate is based on direct build comparisons across client projects — not vendor claims. - **Make strengths for complex workflows:** Native routers (multi-branch conditionals), aggregators (merge parallel paths), iterators (loop over arrays), error handlers (dedicated fallback paths), real-time execution visualisation - **Zapier strengths for simpler workflows:** Step-by-step UI that's impossible to misconfigure, Copilot AI builder for instant drafts, faster time-to-first-Zap for non-technical users, cleaner debugging for linear flows The break-even point in our experience: workflows with fewer than 4 steps and no conditional routing are faster to build in Zapier. Workflows with 5+ steps, conditional branching, or AI output routing are faster and more maintainable in Make. 40% Faster Build Time for Complex AI Pipelines in Make Alice Labs' implementation team estimates Make's visual scenario editor reduces build time by ~40% for multi-step AI pipelines compared to Zapier's linear model — based on direct client project comparisons. ![Linus Ingemarsson](/images/linus-ingemarsson.png)![Eric Lundberg](/images/eric-lundberg.png)![Alice Holmgren](/images/alice-holmgren.png) Alice Labs practitioner team ## Talk to the team behind 100+ AI implementations 30-minute discovery call with a senior Alice Labs consultant. No slide deck, no sales pitch — just a scoping conversation. [Book a Discovery Call](#contact) 06 / 08 Dimension ## Enterprise Readiness: Security, Governance, and Scale In short Both platforms offer enterprise tiers with SSO, audit logs, and dedicated support. Zapier has stronger brand recognition in enterprise procurement processes; Make has stronger data residency options for European teams subject to GDPR. Enterprise teams evaluating "best automation platform 2026" need more than feature comparisons — they need to assess governance, compliance, and operational resilience. Enterprise Feature Comparison: Make vs Zapier (2026) Enterprise Feature Make Zapier SSO / SAML Enterprise tier Enterprise tier Audit logs Enterprise tier Team tier and above Data residency (EU) EU data region available Limited — US-primary infrastructure GDPR compliance tools DPA available; EU hosting option DPA available; SCCs for EU data transfers Role-based access control Teams tier and above Team tier and above On-premise / private cloud Not available Not available SLA uptime guarantee 99.9% (Enterprise) 99.9% (Enterprise) ### GDPR and European Teams: Make's Structural Advantage For European enterprises operating under GDPR, Make's Prague-based infrastructure and EU data region option provide a meaningful compliance advantage over Zapier's US-primary architecture. Zapier offers Standard Contractual Clauses (SCCs) for EU data transfers, which satisfies GDPR requirements for most use cases. However, in regulated industries (financial services, healthcare, energy) where data sovereignty requirements are strict, Make's EU hosting option eliminates the cross-border transfer question entirely. Alice Labs works extensively with Swedish and Nordic enterprises navigating EU AI Act compliance alongside GDPR obligations. In those engagements, Make's EU infrastructure consistently simplifies the data governance conversation. For more on EU AI Act implications for automation platforms, see our [EU AI Act compliance checklist](/en/insights/eu-ai-act-compliance-checklist-2026). EU Teams: Check Your Data Residency Requirements First Before evaluating features or pricing, European enterprise teams should confirm whether your data processing agreements require EU-resident infrastructure. Make's EU data region can eliminate this question; Zapier requires SCCs for cross-border transfer compliance. 07 / 08 Dimension ## When to Choose Make vs Zapier: A Decision Guide by Use Case In short Choose Make for complex, data-heavy AI pipelines and cost-sensitive high-volume automation. Choose Zapier for non-technical teams, broad integration needs, and production-ready AI agents today. The "best automation platform 2026" question doesn't have a universal answer — it has a right answer for your specific team, use case, and technical capability. Based on Alice Labs' 100+ enterprise AI implementations, here is how the decision consistently breaks down across real client scenarios. ### Choose Make When: - **Workflow complexity is high:** You need multi-branch logic, conditional routing based on AI outputs, or parallel processing paths — scenarios where Zapier's linear model creates serious architectural friction. - **Volume is high:** Your workflows run thousands of times per month across many steps. Make's operations model will deliver significantly lower cost at scale. - **Your team has technical capability:** Developers, operations engineers, or marketing ops professionals who are comfortable with conditional logic will unlock Make's full power. Non-technical users face a steeper learning curve. - **EU data residency is required:** Regulated industries where cross-border data transfer creates compliance complexity benefit from Make's EU hosting option. - **Custom AI API integration is needed:** Any AI model or endpoint accessible via REST API can be called directly through Make's HTTP module — no native integration required. - **You need AI agent capabilities at lower price points:** Make's AI Agents (beta) are accessible on lower-cost plans than Zapier's $103.50/month Team tier requirement. ### Choose Zapier When: - **Speed-to-automation matters most:** Non-technical users can build production Zaps in under 30 minutes using Copilot. Make's learning curve is significantly steeper for the same user profile. - **Integration breadth is critical:** You depend on niche, vertical, or long-tail SaaS tools. Zapier's 7,000+ integrations dramatically increase the likelihood of a native connector existing. - **You need production-ready AI agents today:** Zapier's AI Agents are GA and polished; Make's equivalent is still in beta. If stable autonomous agent workflows are a Q3 2026 requirement, Zapier is the safer choice. - **Your team is non-technical:** Zapier's linear step UI, Copilot natural-language builder, and extensive template library make it the most accessible automation platform available in 2026. - **Workflow volume is low-to-medium:** Under ~5,000 tasks per month, the pricing gap between platforms is manageable and Zapier's usability advantages may outweigh the cost difference. For enterprise teams uncertain about which profile fits them, Alice Labs offers platform selection workshops as part of our [AI automation consulting](/en/insights/ai-automation-consulting-guide) engagements — typically resolving the Make vs Zapier question within a single structured session. The 5-Step Rule Alice Labs' practical heuristic: if your target workflows average fewer than 5 steps and require no conditional branching, Zapier is likely the better fit. If workflows average 5+ steps with branching or AI routing, default to Make. 08 / 08 Dimension ## Alice Labs Verdict: Which Platform Does Our Team Recommend? In short Alice Labs recommends Zapier for non-technical teams with straightforward integration needs and Make for technical teams running complex, data-heavy AI automation. The choice is use-case specific — there is no universal winner. After 100+ enterprise AI implementations across Sweden and Europe — including production deployments of both platforms in energy, media, and agri-tech — Alice Labs' recommendation is deliberately split. There is no universal winner in the Make vs Zapier comparison. The right platform depends on three variables: team technical capability, workflow complexity, and monthly execution volume. ### Our Recommendation Framework Alice Labs Platform Recommendation Matrix Team Profile Workflow Type Volume Recommendation Non-technical (marketing, sales ops) Simple linear (1–4 steps) Low (<5,000 tasks/mo) Zapier Non-technical, broad integrations needed Simple linear, many apps Low-medium Zapier Technical (ops engineers, developers) Complex branching (5+ steps) Medium-high Make Technical, AI pipeline focus Multi-branch AI routing High (>50,000 ops/mo) Make Any team, AI agents priority Autonomous agent workflows Any (if stable agents needed now) Zapier (until Make Agents GA) European enterprise, GDPR-sensitive Any Any Make (EU data region) One observation from our implementation practice that rarely appears in vendor comparisons: the decision between Make and Zapier is often less important than the quality of the workflow design sitting on top of either platform. Poorly designed AI automation on either platform underperforms. Well-designed automation on the "wrong" platform still delivers value. Platform selection should follow workflow design — not precede it. Our [AI workflow automation guide](/en/insights/ai-workflow-automation-guide) covers the design-first methodology we use with enterprise clients. Both Platforms Can Coexist Several Alice Labs clients run both Make and Zapier in production — using Zapier for simple, high-integration-breadth workflows and Make for complex AI pipelines. Platform consolidation is not always the right goal. ## About the Authors & Reviewers Published May 23, 2026 Written by ![Linus Ingemarsson - Co-Founder, Alice Labs at Alice Labs](/images/linus-ingemarsson.png) [Linus Ingemarsson](https://www.linkedin.com/in/linus-ingemarsson/) Co-Founder, Alice Labs Co-Founder at Alice Labs. Author of 7 research reports on AI adoption, governance and labor markets cited across EU, OECD and US benchmarks. - 8+ years in AI strategy & implementation - Top-5 AI Speaker, Sweden (Mindley 2025) - 100+ enterprise AI engagements [View profile](https://www.linkedin.com/in/linus-ingemarsson/) [](https://www.linkedin.com/in/linus-ingemarsson/)[](mailto:linus@alicelabs.ai) Reviewed by May 23, 2026 ![Eric Lundberg - Co-Founder, Alice Labs at Alice Labs](/images/eric-lundberg.png) [Eric Lundberg](https://www.linkedin.com/in/eric-lundberg-3530451bb/) Co-Founder, Alice Labs Co-Founder at Alice Labs. Builds AI automation, agent workflows and integration systems that hold up in real business operations. - AI automation & agent systems lead - Workflow design across 100+ deployments - Specialist in RAG, integrations & APIs [View profile](https://www.linkedin.com/in/eric-lundberg-3530451bb/) [](https://www.linkedin.com/in/eric-lundberg-3530451bb/)[](mailto:eric@alicelabs.ai) Published May 23, 2026 Reviewed for technical accuracy, methodology and source integrity. · All claims trace to public sources cited in-line. ## Frequently Asked Questions ### Is Make cheaper than Zapier? Yes — significantly. Make's operations-based pricing delivers roughly 3–5x more workflow executions per dollar than Zapier's task-based model at comparable tiers (2sync, May 2026). The gap widens at high volume: a 5-step workflow running 10,000 times per month consumes 50,000 tasks on Zapier vs 50,000 operations on Make, but Make's tier pricing makes those operations substantially less expensive. ### Does Make have AI agents? Yes, but they are in public beta as of mid-2026. Make's AI Agents entered public beta in April 2026. The feature allows autonomous decision-making within scenarios but lacks the production-ready polish and template library of Zapier's AI Agents. Teams needing stable agent workflows in 2026 should evaluate Zapier Agents first, then revisit Make Agents when the feature reaches general availability. ### How many integrations does Make have compared to Zapier? Zapier offers 7,000+ app integrations in 2026; Make has approximately 1,500 native modules. However, Make's open HTTP module allows connection to any REST API — technically eliminating the ceiling for technically capable users. For most enterprise core SaaS stacks (Salesforce, HubSpot, Slack, Google Workspace, Microsoft 365), both platforms have native coverage. ### What is the difference between Integromat and Make? Integromat and Make are the same platform. Integromat was rebranded to Make.com in 2022, with a significantly expanded feature set including the visual canvas editor, AI module integrations, and the April 2026 AI Agents beta. If you're comparing 'integromat vs zapier ai', you're looking at the current Make platform — the migration from Integromat is complete. ### Which automation platform is better for enterprise AI workflows? For enterprise AI workflows with multiple steps, conditional routing, and high execution volume, Make is the stronger platform. Its visual scenario editor reduces build time by an estimated 40% for complex pipelines vs Zapier's linear model, and its operations-based pricing is substantially cheaper at scale. For enterprises needing production-ready AI agents in 2026, Zapier is currently ahead. Alice Labs recommends evaluating both against your specific workflow complexity before committing. ### Can I use Make and Zapier together? Yes. Several Alice Labs enterprise clients run both platforms in production simultaneously — using Zapier for simple, high-integration-breadth workflows and Make for complex AI pipelines. The platforms don't conflict. Dual-platform approaches make sense when your automation needs are heterogeneous: some simple and integration-dependent, others complex and volume-heavy. ### Is Zapier's AI Copilot worth the upgrade? Zapier Copilot — the natural-language Zap builder — is production-ready and genuinely useful as of 2026. For non-technical users, it dramatically reduces the time to create a first Zap. It's available on the Professional tier and above. If your team is building Zaps regularly and lacks technical automation expertise, the Copilot capability alone can justify the tier upgrade over the Starter plan. ### Which platform is better for GDPR compliance in Europe? Make has a structural advantage for European enterprises. Make offers an EU data region option, keeping data within European infrastructure and eliminating cross-border transfer questions. Zapier operates primarily on US infrastructure and offers Standard Contractual Clauses (SCCs) for GDPR compliance — adequate for most use cases, but potentially insufficient in regulated sectors with strict data sovereignty requirements (financial services, healthcare, energy). ### Want to discuss how this applies to your organization? Book a free 30-minute strategy call with our AI team. [Book a call](/en/ai-consulting-services#contact-form) [Previous in AI Automation ### n8n for Enterprise AI: Workflow Automation Without the Lock-In ](/en/insights/n8n-for-enterprise-ai)[Next in AI Automation ### AI Data Extraction: How to Pull Structured Data from Unstructured Sources ](/en/insights/ai-data-extraction-guide) ## Further reading - [Zapier — Make vs Zapier official comparison (2026)](https://zapier.com/blog/zapier-vs-make/)· zapier.com - [AI:PRODUCTIVITY — Zapier vs Make AI features analysis (March 2026)](https://aiproductivity.ai/blog/zapier-vs-make/)· aiproductivity.ai - [2sync — Zapier vs Make pricing breakdown, Simo Elalj (May 2026)](https://2sync.com/blog/zapier-vs-make)· 2sync.com - [Make.com — Official platform documentation](https://www.make.com/en)· make.com ## Related services [AI automation ](/en/ai-automation) ## Related reading [glossary ### What Is AI Automation? A Plain-English Guide for Enterprise Teams Understand the difference between traditional automation and AI automation — and how to identify which workflows in your organisation are ready for AI-driven execution. ](/en/insights/what-is-ai-automation)[listicle ### AI Automation Use Cases 2026: 40 Examples by Industry A practical catalogue of AI automation use cases across sectors including financial services, healthcare, energy, and media — with implementation notes for each. ](/en/insights/ai-automation-use-cases-2026)[glossary ### What Is an AI Agent? Definition, Architecture, and Enterprise Applications A precise definition of AI agents, how they differ from traditional automation bots, and the architectural patterns enterprise teams should understand before deploying autonomous workflows. ](/en/insights/what-is-an-ai-agent)[comparison ### Best AI Agent Frameworks 2026: A Technical Comparison Compare the leading AI agent frameworks — LangChain, AutoGen, CrewAI, and others — on capability, community, and enterprise production readiness. ](/en/insights/best-ai-agent-frameworks-2026)[deepdive ### AI vs RPA: When to Use Each and How They Work Together Learn the fundamental difference between AI automation and Robotic Process Automation — and how modern enterprises combine both in layered automation architectures. ](/en/insights/ai-vs-rpa) ## Sources 1. [Zapier vs Make: Which Tool Is Right for You?](https://zapier.com/blog/zapier-vs-make/)Zapier Team · Zapier “Zapier offers 7,000+ app integrations in 2026, representing the broadest integration library in no-code automation.” 2. [Zapier vs Make: AI Feature Comparison](https://aiproductivity.ai/blog/zapier-vs-make/)AI:PRODUCTIVITY Editorial Team · AI:PRODUCTIVITY “Zapier AI Agents require the Team tier at $103.50/month minimum. Make AI Agents entered public beta in April 2026.” 3. [Zapier vs Make: Pricing, Features, and Decision Matrix](https://2sync.com/blog/zapier-vs-make)Simo Elalj · 2sync “Make delivers roughly 3–5x more workflow executions per dollar than Zapier at comparable mid-tier plans. Make wins for complex AI pipeline scenarios.” 4. [Zapier AI Agents Review: The Most Polished No-Code Agent Platform](https://nextautomation.io/zapier-ai-agents-review)NextAutomation Editorial Team · NextAutomation “Zapier Agents are rated the most polished autonomous agent offering on any no-code automation platform as of April 2026.” Next scheduled review: 2026-08-21 ![Linus Ingemarsson](/images/linus-ingemarsson.png)![Eric Lundberg](/images/eric-lundberg.png)![Alice Holmgren](/images/alice-holmgren.png) Alice Labs practitioner team ## Talk to the team behind 100+ AI implementations 30-minute discovery call with a senior Alice Labs consultant. No slide deck, no sales pitch — just a scoping conversation. 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