Sanaf AI Solutions vs Make
The short answer: Make is a visual automation platform where you draw a scenario, module by module, and it runs exactly as drawn. Sanaf is an AI employee: you write the job in plain words, set what it may do without asking, and it works in Slack, Microsoft Teams and its own chat. Choose Make if the process is stable and you want to see every step of it on a canvas. Choose Sanaf if the work varies enough that drawing it in advance is the hard part.
Last updated 2026-09-04. Competitor details describe their model, not their current plans or prices; check their site for those.
Read from Make’s own pages on 2026-09-04: Pricing page.
An illustration of how the conversation reads, not a transcript from a client account.
Make is the most visual of the automation platforms, and for a certain kind of thinker that matters: you can see the whole scenario at once, follow the data through it, and know exactly what will happen. It bills by credits rather than by headcount, and puts unlimited users on every tier, which is a genuinely fair model for a small team.
The catch is the same one every builder has. A scenario does what it was drawn to do. When the input changes shape, when a customer writes something the branches did not anticipate, the scenario either fails loudly or, worse, quietly does the wrong thing.
Sanaf is briefed rather than drawn. That is a real trade: you lose the certainty of seeing every branch, and you gain a colleague who reads what actually arrived and asks when it is not sure.
How the two models differ
| Dimension | Sanaf AI Solutions | Make |
|---|---|---|
| What you get | Sanaf AI Solutions: One AI employee with a written job description for every job you hand it | Make: A visual scenario builder with a large module library |
| Where it works | Sanaf AI Solutions: Slack, Microsoft Teams, and its own chat in the console | Make: A web canvas, with actions landing in your connected tools |
| Who sets it up | Sanaf AI Solutions: You write the job in plain words and set the rules | Make: Someone draws the scenario and maintains it as things change |
| When the input is unexpected | Sanaf AI Solutions: It reads what arrived and decides, then asks if it is unsure | Make: The scenario follows the branches it has, or errors |
| Approvals | Sanaf AI Solutions: Per kind of action: do it, ask, or never, with conditions | Make: Whatever you build into the scenario |
| Record of the work | Sanaf AI Solutions: A work log written in plain words, in the thread where you asked | Make: An execution history per scenario run |
| Pricing model | Sanaf AI Solutions: Free to start with $120 of credit and no card, then credits from $20 as you need them. They never expire, and you pay for the work, not per seat | Make: Credits consumed per module action, on a free tier and paid plans, with unlimited users and an enterprise tier quoted by their sales team |
| Best for | Sanaf AI Solutions: Work that varies and needs a decision on the way through | Make: A stable process you want to see drawn end to end |
Choose Make if
- You want to see the whole process laid out visually, and you find that clearer than a written brief.
- The process is stable, and the value is in it running identically every time.
- You have unlimited people who need access, which Make does not charge extra for.
- You want fine control over exactly which module runs when, including the error paths.
Choose Sanaf AI Solutions if
- The work varies, and drawing every branch in advance is the part you keep failing to finish.
- You want the work handled in Slack or Microsoft Teams, in the thread where it came up.
- You want rules per kind of action and a shadow period before it acts alone.
- You do not have anyone who will maintain a canvas after the person who built it moves on.
Frequently asked
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