Automation platform
Make automation
Make draws an automation as a diagram you can read: modules joined by lines, with routes that split and loops that repeat. It handles processes with real structure. We build them clearly, test them with awkward data, and monitor them.
- 1,200+ clients helped
- Building since 2010
- 15 services, one team
- 50+ technologies
At a glance
What it is
Make is a visual automation tool where workflows are drawn as diagrams, with branches, loops, and data handling that go beyond one-step connections.
Problems it solves
Processes with several paths, repeated items, and data to reshape are awkward in simple tools and too small to justify custom code.
Who it suits
Operations and marketing teams with multi-step processes, and owners comparing automation tools on cost and control.
How to choose
Choose Make when a process branches, loops over lists, or reshapes data. Choose Zapier for simple chains, and code when reliability or volume demand it.
What it means
Automation you can see
Make is a visual automation platform. You build a scenario by placing modules for apps and actions on a canvas, connecting them, and mapping data between them. Routers split the flow, and iterators repeat steps for each item in a list.
Seeing the whole process on one canvas is the main benefit. A manager can follow it, a colleague can fix it, and mistakes in the logic are easier to spot than in a list of steps.
It is more capable than a simple connector tool, and that capability needs discipline. Large scenarios become tangled just as large documents do.
Options
Make compared with the alternatives
Suits
Multi-step, branching processes with data to reshape.
- Trade-off
- A learning curve, and large scenarios need discipline.
Suits
Simple, linear tasks between common apps.
- Trade-off
- Less clear for branching, and costs rise with tasks.
Suits
Teams needing self-hosting or high volume.
- Trade-off
- You run and maintain it, or pay for hosting.
Suits
Organizations centered on Microsoft 365.
- Trade-off
- Best inside the Microsoft ecosystem.
Suits
Critical processes with strict reliability needs.
- Trade-off
- Highest cost, and developers for every change.
An example
What a branching scenario looks like
Here is a typical order-handling scenario, described step by step.
What a branching scenario looks like
A sequence of 5 steps. A new order arrives: From the online store.; A router splits it: Digital goods one way, physical goods the other.; Each path acts: Send a download link, or create a shipping task.; Items are repeated: A loop adds each product to the stock sheet.; Everything is logged: Errors go to a channel someone watches..
- A new order arrivesFrom the online store.
- A router splits itDigital goods one way, physical goods the other.
- Each path actsSend a download link, or create a shipping task.
- Items are repeatedA loop adds each product to the stock sheet.
- Everything is loggedErrors go to a channel someone watches.
What DECHY can do
Working with Make
Design
- Mapping the process before building.
- Splitting big processes into small scenarios.
Build
- Scenarios with routers, loops, and error paths.
- Connections to apps without ready modules.
Test
- Runs with messy, real-world data.
- Checks that compare the systems on each side.
Look after
- Monitoring, alerts, and cost reviews.
- Documentation for your team.
Typical uses
Processes that suit Make
Order and fulfillment routing
Different handling by product type, region, or customer, with the right people told.
Content and approval pipelines
Drafts moving through review steps, with reminders and a record of who approved what.
Data clean-up between systems
Reformatting, de-duplicating, and enriching records on their way from one tool to another.
Reporting from many sources
Pulling numbers from several apps, combining them, and posting a daily summary.
Technical depth
How we build with Make
Our engineering choices on structure, data and errors, and connections, written for the people who will own the system after launch.
We keep scenarios small and single-purpose, call shared logic through sub-scenarios, and use consistent names for modules and variables.
- Explicit mapping and validation of incoming data, with defaults for missing fields.
- Error-handling routes that retry, log, and alert, rather than stopping silently.
- Operations budgeted against plan limits, since each module run counts.
- HTTP modules and webhooks for services without a ready module.
- Secrets stored in the platform's connection settings, with least-privilege access.
Common questions
Questions about Make
Is Make better than Zapier?
For branching and data handling, often. For simple chains, Zapier can be quicker. We choose by the process.
Who can maintain the scenarios?
A technically comfortable team member can, with our documentation. We can also look after them for you.
How do operations affect the price?
Plans are based on operations, which are counted per module run. We estimate from real volumes before you commit.
What happens if a scenario fails?
Error routes log the problem and alert a person. For critical flows, a scheduled check compares both systems so nothing stays missing.
Have a different question?
Tell us what you are weighing up and we will answer it plainly.
Ask a questionAlready a client? Email support@dechytech.com
Describe the process and where it branches
Tell us the steps, the tools, and the awkward cases. We will draw the workflow and say whether Make is the right tool to run it.