Choose the stack around the work
Compare automation platforms by workflow fit, ownership, controls, and running costs. What their AI agents change, and when a custom build is justified.
Zapier, Make, and n8n all support AI agents. Comparing them as simple rules engines against intelligent custom software is out of date. The useful choice is which platform can execute your workflow, enforce the necessary permissions, and be maintained by the team that will own it.
Start with one real workflow and its exception cases. Evaluate two plausible options against the same sample before committing the wider operation.
Where each option deserves a look
| Option | A reason to evaluate it | What to test |
|---|---|---|
| Zapier | Your work spans supported business apps and needs straightforward administration | The exact actions available, connection permissions, approval path, and cost per completed case |
| Make | Your team wants a visual view of branching workflows and agent steps | Exception handling, credit use, debugging, and the implications of beta features |
| n8n | Technical operators need flexible workflows, code, and a choice of hosting | Deployment ownership, credentials, evaluation, and the features included in your plan |
| Custom software | You have a specific requirement the evaluated platforms cannot adequately satisfy | Whether the added control justifies engineering, support, and ongoing operating costs |
These are starting hypotheses for evaluation, not universal rankings. An existing platform your team already operates may be the best first candidate.
The agent capabilities have changed
Zapier Agents can use connected tools and business context. Enterprise accounts can also apply app access policies to Agents and Zaps. Check the required plan and demonstrate that the connected account cannot make an unauthorized change.
Make introduced its next generation of AI Agents in February 2026, bringing agent work into the scenario canvas. Its help center still identifies the new app as open beta. Evaluate that release status against the workflow's support and continuity requirements.
n8n supports agents alongside workflow logic and offers cloud and self-hosted options. Hosting it yourself adds responsibility for updates, backups, access, and recovery. It also does not automatically keep information local: inspect any external model and application connections.
Custom software gives the implementation team control over application behavior. That team must also build and maintain the review interface, tests, permissions, logs, and failure recovery. A custom agent can still use a platform for parts of its workflow.
Compare cost per completed case
The vendors count usage differently. Zapier Agents uses activities. Make uses credits, with consumption affected by the module and AI connection. n8n's paid plans meter workflow executions. Model-provider charges and hosting can be additional, depending on the setup.
Run a representative batch that includes retries, long documents, and exceptions. Divide platform, model, infrastructure, and review costs by the number of successfully completed cases. Record the ongoing support work separately. A cheap successful demo says little about a month of mixed traffic.
Five acceptance checks
- Can it read and write the exact fields you need using appropriately scoped access?
- Can a reviewer see and approve the proposed action before it happens?
- Does a retry avoid duplicating an email, payment, or record?
- Can an operator find the failed case and resume it?
- Can your team change and support it within the agreed budget?
If those requirements are unclear, start with a workflow audit. If they are defined, our Capacity Generation approach can implement the selected stack. Use Custom Software when the evaluation identifies a specific need for it.