Working at Zapier, I've seen firsthand how powerful AI automation can be when it connects your people, tools, AI, and agents so work runs on its own 24/7. It can streamline onboarding, eliminate data silos, and keep teams focused on what actually matters. But as a seat-of-the-pants flyer in all aspects of life (including designing processes for my work), I've also learned the hard way that automation without intelligent orchestration can easily tip over into chaos.
In a small team, it's easy to hack together a few workflows and move on. But once you're dealing with multiple departments, dozens of tools, AI agents, and tight security requirements, things get a lot more complicated. That's when your automation platform either becomes a trusted foundation or a source of recurring headaches.
I've been using Zapier for several years—long before I started working here—so I'm a little biased when it comes to the best enterprise AI orchestration platforms. But if you're wondering if Make is a good choice for enterprise, there's plenty to learn about how it stacks up. In this post, I'll walk through what makes enterprise automation uniquely challenging, what features matter most when you're choosing a platform, and where Make does (and doesn't) fit the bill.Â
What to look for in an enterprise automation platform—and how Make stacks up
Sure, automation can make things faster. But automation at the enterprise level is about making entire processes work intelligently, securely, and at scale—connecting multiple workflows with AI that can reason, decide, and adapt. That's a very different challenge from automating a few one-off tasks or cobbling together quick fixes.
For larger organizations, AI orchestration has to serve multiple teams, dozens (or hundreds) of workflows, AI agents, and a constantly evolving tech stack. That means the stakes are higher. Things like scalability, security, and compliance are non-negotiable factors for enterprise teams. And while a broken workflow can be an annoying snag for small teams or solopreneurs, for enterprise, it can stall work for an entire department or delay revenue-critical operations. That's why your platform matters.
Choosing an AI orchestration platform for your organization should take the same amount of thoughtful, dare I say too-careful consideration as my dog uses when selecting a new toy at the pet store. This is the system your teams will build on top of, rely on every day, and scale with as your business grows, so it's worth choosing intentionally. Your team, like my Darcy, deserves only the best.
Here's what matters most—and how Make stacks up.
AI-first ease of use
Your enterprise orchestration tool should be intuitive enough for non-technical users to build with AI—and powerful enough to satisfy IT.Â
Make offers a visual, mind-map-like interface that's great for visual thinkers. It's approachable for those who want to "see" their logic play out and makes branching workflows easy to follow.
But Zapier is known for its ease of use. It supports visual workflow building (with Canvas) but pairs it with a simpler no-code builder for everyday use. It's especially intuitive for non-technical users, helping enterprise teams scale automation beyond IT. If you want AI orchestration to be accessible across marketing, ops, HR, and support, Zapier's learning curve is flatter.
Enterprise-grade security and compliance
With AI in the mix, governance becomes even more important. Orchestration platforms should support SSO, SCIM provisioning, audit trails, and app restrictions, in addition to meeting international compliance standards.Â
Make is compliant with GDPR and has achieved SOC 2 Type II certification. It supports secure access via VPN-only hosting and offers SSO integration, and for enterprise customers, Make provides ISO 27001 governance and extended log retention.
Zapier also offers enterprise-grade security. It's compliant with SOC 2 Type II, GDPR, and CCPA, and gives admins complete visibility and control over how workflows and AI interact with company data. It also includes built-in SCIM provisioning, role-based permissions, version history, and detailed audit logs on enterprise plans. Admins can track who created what, roll back changes with version history, and manage access without hassle. Zapier makes it easy for IT to govern without slowing teams down.
Reliability and observability
AI workflows often span multiple tools and teams, so your platform should support sandboxing, error handling, and real-time alerts.Â
Make includes error handling and logic tools like routers and iterators—but lacks built-in sandbox testing or real-time alerting. It's powerful, but it assumes a more technical user who's comfortable debugging on their own.
Zapier's built-in monitoring helps you catch issues before they affect users or customers. It offers conditional logic, custom retries, and detailed run histories. On Enterprise plans, teams get sandbox environments and monitoring tools, which are a must-have when automating customer-facing or mission-critical workflows.
Scalable ecosystem
The more tools you connect, the more orchestration matters.Â
Make integrates with around 2,500 apps—a solid lineup that covers most mainstream enterprise tools. Zapier, on the other hand, connects with over 8,000 apps, so every department's niche tool will be covered. It also includes built-in tools like Interfaces, Tables, and AI Agents. That means you can go beyond just connecting tools and build full-on internal systems that adapt as your tech stack evolves.
Support that scales with you
AI workflows can get complicated. Both Make and Zapier's enterprise customers get access to dedicated support (from actual humans), so help is always a message away.
Long story short: Enterprise AI orchestration has to scale in every direction—users, use cases, AI capabilities, and expectations. And not every platform is built with that kind of complexity in mind.
Build something your team can count on with Zapier
Make can be a great option for teams just getting started or managing a handful of workflows. It's visual, flexible, and offers a solid experience for folks who like to tinker. But as your needs grow—across teams, tools, and compliance requirements—you'll want something that feels more like a long-term solution.
Zapier is built for AI orchestration at scale. It's intuitive enough that your marketing team can set up a new campaign workflow before lunch—but powerful enough that your IT and ops teams govern AI usage across departments without losing sleep. And with 8,000+ integrations, enterprise-grade controls, and a unified platform that includes everything from databases to AI agents, Zapier has everything you need to orchestrate intelligent processes across your organization—without duct tape, late-night troubleshooting, or mysterious workflows ominously labeled "DO NOT DELETE."
So if you're serious about making AI orchestration a core part of how your organization works—not just now, but years from now—it's worth starting with a platform designed for intelligent, connected processes that scale.
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