Anfloy vs Zapier.

When Zapier is the right call

• You have a small, well-defined trigger-action workflow.
• You only need to glue together SaaS tools that already have Zapier connectors.
• No one on your team needs to reason about edge cases - the rules are simple and stable.
• You're moving low task volumes and don't mind paying per-task.

When Anfloy is the right call

• Your workflow has edge cases that need judgment, not just rules.
• You need the system to read context (a CRM note, a Slack thread, an internal doc) before acting.
• You want the codebase in your repo, not in someone else's UI.
• Per-task fees would eat your margin at scale.
• You want one system that owns a complete business function, not 14 zaps wired together.

Can Anfloy replace our existing Zapier setup?

Yes, when it's worth replacing. Most clients keep Zapier for what it's good at - trigger-action plumbing between SaaS tools - and bring us in to build the reasoning layer Zapier can't handle. Some clients fully migrate when their Zapier bill exceeds the cost of a custom build (usually around 30k+ tasks/month).

Do you build inside Zapier or replace it?

Both, depending on the workflow. For simple connectors, Zapier is the right tool and we'll happily wire one up. For anything involving judgment, multi-step reasoning, or non-trivial state, we build a custom agent that runs in your stack.

Is Anfloy more expensive than Zapier?

Anfloy is a one-time build starting at $5,000. Zapier is recurring per-task pricing. At low volume Zapier is cheaper. At high volume or when you need reasoning Zapier can't do, Anfloy is dramatically cheaper over 12 months.

How is this different from Zapier's AI features?

Zapier's AI features are LLM steps embedded in their workflow runtime - useful for simple text generation inside a zap. Anfloy builds the inverse: an agent runtime in your stack that calls APIs (including Zapier itself) as tools when it needs to. The locus of control flips.