Runwork
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Runwork vs

Runwork vs Make

Make draws your integrations. Runwork keeps your team's AI capability.

Quick Verdict

Make gives you a canvas where a complicated integration is actually visible. Routers, filters, iterators, error paths, all in one picture, and you can watch the data move through it. If you own a gnarly multi-service scenario, that canvas earns its keep. Runwork is not competing for it. Runwork is where what your team works out with AI goes: skills every teammate's AI picks up, work that keeps running after the laptop closes, and small tools people can actually use.

Overview

Make (formerly Integromat) is the strongest visual builder in this category, and it is not close. Routers, iterators, aggregators, real error handling, and a canvas where you can step through the data bundle by bundle while you debug. People who own complex integrations love it for good reason. It is still a scenario one person drew, doing one job. Runwork holds a different thing: your team's own AI work. Someone teaches their agent how your quotes get priced, and every teammate's agent knows it. Someone's agent builds a tracker, and it lives in the team cloud instead of on a laptop. Your agent does the making. Runwork keeps it running and shares it.

Make is a Visual Automation Platform.

Runwork Strengths

  • What one person teaches their AI, every teammate's AI knows.
  • The tools your people make land in a shared cloud, not in a Downloads folder.
  • Runs on a schedule or an event, so the work does not stop when the office does.
  • Everyone keeps their own AI tool. Claude, ChatGPT, Cursor, Codex, 60+ AI tools in all.
  • 3,300+ integrations when you need an outside service.
  • Roles, permissions, and audit logs on everything the team's AI can touch.
  • A dashboard that shows who is actually getting better, not who has a seat.
  • Flat workspace pricing. Nothing to count.

Make Strengths

  • The best visual canvas in the category. A complex scenario reads as one picture.
  • Routers, iterators, aggregators, and error handling paths that actually work.
  • You can watch data move bundle by bundle while you debug, which is rare.
  • 1,000+ app integrations, plus an HTTP module for anything missing.
  • Operation-based pricing is genuinely cheap at low volume.

Feature Comparison

What each one is for

Feature Runwork Make
Visual canvas for a complex scenario - Best in class
You describe it instead of drawing it -
Pre-built connectors 3,300+ 1,000+
Holds what your team teaches its AI -
Works inside the AI tools people already use 60+ AI tools -
Range of what can live there A quick skill to a running tool Scenarios

What the team gets

Feature Runwork Make
Taught once, known by every teammate's AI -
Work keeps running after everyone logs off
A place the whole team can find it Team folders
Screens people can use: dashboards, forms -
You can see who is getting better at AI -

Running the work

Feature Runwork Make
Scheduled and event-driven runs
Branching, routers, and parallel paths
Error handling and retries
Long-running work (hours or days) Limited
Agents run in your team cloud Via modules
Its own data to work on Entities + file storage Data stores (limited)

Team and security

Feature Runwork Make
SSO / SAML Soon Enterprise
Audit logs Enterprise
Role-based access Teams plan
Team workspaces
Custom domains -
Adoption dashboard -

Pricing model

Feature Runwork Make
Per-operation billing -
Flat workspace pricing -
Unlimited runs -
Free plan -

Which Tool is Right for You?

Choose Runwork if you need...

  • * Teams where every person's AI knows something different and none of it is shared
  • * Keeping the skills and small tools your people make with their own AI
  • * Work that has to survive the laptop closing
  • * Giving every teammate's AI the same abilities without a training session
  • * Keeping the capability yours while models and AI tools keep changing

Choose Make if you need...

  • * A complicated integration you need to see as one picture
  • * Routers, iterators, and error paths across many services
  • * Watching data move step by step while you debug
  • * Low operation volume, where per-run pricing is the cheapest option
  • * Teams who already think in scenarios and like working that way

Pricing Comparison

Make bills per operation, which stays cheap at low volume and needs watching as it grows. Runwork is priced per seat with a monthly usage budget, and unlimited apps and data, and starts with a 14-day trial, no credit card. Make has a free plan. Runwork does not.

View Runwork pricing

How to Migrate from Make

There is nothing to migrate, really. Make keeps drawing the integrations it is good at. Runwork picks up the part with nowhere to live today, which is what your people work out with their own AI.

Typical migration: About a day to get a team running

1

Leave your scenarios where they are

If a scenario works and you can see it on the canvas, rebuilding it somewhere else buys you nothing. Start with what Make was never meant to hold.

2

List what only lives in one person's head

The way your team qualifies a lead, prices a quote, or checks a contract. Someone has taught their own AI to do it well. Nobody else's AI knows any of it.

3

Get the team connected

Everyone keeps the AI tool they already chose. Runwork shows up inside it, plus a desktop app. Nobody has to change how they work.

4

Teach it once, in your own AI tool

Somebody explains the process to their own agent, the way they would explain it to a new hire. It saves into your workspace, and every teammate's AI has it from then on.

5

Move the laptop-bound work into the cloud

The report that only runs when one person remembers to run it, the script on one machine. Ask your agent to put it on a schedule in Runwork so it keeps going without anybody.

Frequently Asked Questions

Do I have to give up the visual canvas?
No. Keep Make for the scenarios you want to see drawn. Runwork workflows handle branching, retries, and long-running steps, but if the canvas is the reason you chose Make, that reason is still good.
Who builds this, Runwork's AI?
Your own. Claude, ChatGPT, Cursor, Codex, whatever your people already use. They describe what they want to their own agent, it builds against your workspace, and the result lands in the team cloud. Runwork does not chat with you and does not generate anything by itself.
Is Runwork just automation with extra steps?
Automation is one of the things that lives there, not the point of it. The point is that what your team works out with AI stops disappearing. Sometimes that is a skill every teammate's AI picks up, sometimes a job that runs every morning, sometimes a small tool with its own screens.
Will we save money moving off Make?
Depends, and we would rather be straight about it. If you run few operations, Make is cheap and probably cheaper. Flat pricing pays off once volume grows, or once the work stops being only integrations.

Explore Runwork Features

Automations
Workflows
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