Make (Integromat) Automation Consultants in the UAE

What Is Make?

Make (formerly Integromat) is a visual automation platform built around scenarios: flowcharts of modules that move and transform data between apps. It handles more complex branching logic and data transformation natively than most no-code tools, which is why many operations and finance teams prefer it.

The scenario builder shows the entire automation as a flowchart on screen, with each module doing one specific job: fetching data, transforming it, checking a condition, routing it down one of several paths. That visual layout makes it easier to reason about a workflow that has five or six branches than scrolling through a linear list of steps, which is where Zapier tends to get unwieldy. Make also ships with more built-in data transformation tools out of the box, so reformatting a date, restructuring a JSON object, or parsing a spreadsheet often needs no custom code at all.

How Lenoo AI Uses Make for UAE Automation Builds

We're an implementation partner: we build and maintain Make scenarios for your business rather than sell the platform itself. Most Make projects we take on involve multi-branch logic (route this data five different ways depending on conditions), heavier data transformation between systems, or an AI module added mid-scenario to handle judgment calls the built-in filters cannot.

We usually start a Make project by sketching the scenario as a flowchart before touching the platform, since a scenario that isn't planned tends to sprawl once you're inside the builder. Once the logic is agreed, we build it module by module, testing each branch against real data rather than assuming the happy path will always hold. Where a decision genuinely needs judgment rather than a rule, we drop in an AI module that reads the input and returns a clean value the rest of the scenario can branch on, so the flowchart stays readable even where the underlying logic is smart.

Is Make Right for You?

Make fits operations and finance teams in the UAE whose workflows branch in several directions depending on conditions, or who need heavier data transformation between systems than a simple linear Zap can handle.

A few concrete signals we watch for: your workflow needs to check three or four conditions before deciding what happens next, someone on your team is reformatting data by hand between two systems that don't share a structure, or a Zapier automation you already built keeps breaking on a branch it wasn't originally designed to handle. Any of those points toward Make's scenario builder being the more natural fit for what you're trying to do.

What a Typical Make Project With Us Looks Like

Because Make scenarios can branch in several directions at once, we spend more time on the diagram before we spend time in the builder.

1. Discovery. We walk through every branch your process can take, not just the common path, since scenarios that skip an edge case at this stage tend to break on it in production. This is also where we confirm which systems have the data transformation needs a Zap couldn't handle cleanly.
2. Design. We sketch the scenario as a flowchart first, module by module, marking where a router splits the path and where a decision genuinely needs an AI module rather than a filter, before opening the Make builder at all.
3. Build and test. We build the scenario branch by branch inside Make, running real records through each path, including the less common ones, before anything goes live, and we check the data transformation output against your source formats field by field.
4. Launch and monitor. We turn on scheduling or triggers, watch execution history for the first stretch after go-live, and fix any branch that behaves differently against live data than it did in testing.
5. Document and hand off. We walk your team through the finished scenario module by module, so someone internally can read what each branch does, and leave a maintenance path open for anything more involved than a small tweak.

A scenario with two or three branches can usually go live within a week. Larger, multi-branch scenarios connecting several systems are typically scoped over two to three weeks, sequenced so the highest-value branch launches first while the rest continues in parallel.

Make vs. the Alternatives

Make and Zapier solve overlapping problems, and for a simple linear workflow, either one works fine; we pick based on which platform your team already has a login for. Where Make pulls ahead is a scenario with several branches and heavier data transformation, since the flowchart view stays readable in a way a long list of Zapier steps doesn't. If your workflow needs self-hosting for compliance reasons, custom code beyond what Make's built-in transformers handle, or an AI agent making a chain of decisions rather than one classification step, n8n is the better fit. We'll say so directly if that's what your process needs, rather than force it into a Make scenario because that's what we started building. And if the scenario is genuinely simple once we map it out, sometimes a business that came to us assuming they needed Make's branching power ends up better served by two or three straightforward Zaps instead, which we'll recommend even though it's the smaller build.

Keeping a Make Scenario Reliable After Launch

Make scenarios that branch heavily are more prone to a specific kind of failure: a case nobody thought to test slips through an untested path and either errors out or, worse, runs quietly with the wrong data going somewhere it shouldn't. We build every scenario with error handlers on each module that can realistically fail, so a bad record gets routed to a review queue instead of breaking the run or silently corrupting data downstream.

We also set operation limits and monitor consumption against your plan, since a scenario that scales up in volume without anyone checking can quietly burn through your monthly operations and stop running mid-month. Every Make project we deliver includes documentation of the full scenario logic, branch by branch, so your team can see exactly what happens to a record at each decision point without opening the builder and tracing it manually themselves.

What a Make Project Costs

We scope Make projects based on how many scenarios you need, how many modules each one touches, and whether a step requires an AI module to read and judge unstructured content rather than just transform data. A single scenario connecting two or three apps with clear branching logic is a smaller, fixed-scope engagement. A set of interlinked scenarios handling multi-branch routing, heavier data transformation, and AI-assisted decisions across several systems is a larger project we scope after seeing your actual workflow on a discovery call.

Your Make subscription itself is billed separately based on operations used per month, and we help you size that correctly rather than defaulting to a bigger plan than your volume needs. We don't mark up your Make bill. The build is a one-time cost, and we include a 90-day monitoring window with every project; ongoing maintenance beyond that is an optional retainer for teams who'd rather we keep watching the scenario than handle it in-house.

Getting Started With a Make Scenario

If you're new to Make entirely, we set up the account, structure the workspace around your team (folders by department or function tend to work better than one flat list of scenarios as you add more automation over time), and build the first scenario as a template your team can reference when requesting the next one. If you already have scenarios running, we start with a short audit: what's live, what's fragile, what's duplicated across two tools that should really be one.

Either way, the first deliverable is always a working scenario your team can see running against real data before we call the project done, not a design document or a demo on sample records. We'd rather you judge the automation on what it actually does with your invoices, your leads, or your reports than on a mockup.