How Make Grid helps Wemolo scale faster

How Wemolo implemented Make to reduce manual task handling, simplify backend updates, and manage 7 times more projects.

Table of contents

Agents that live inside the scenario builder

Authors

Natalia Mrazova

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Industry: IT – Software and SaaS
Use case: Operations management
Country: Germany
Company size: 201-500 employees

This article is a part of the Make Grid success stories series.

Wemolo is a Munich-based tech company revolutionizing parking management with its AI-powered, barrier-free platform. Its platform operates in over 3,000 locations across five European countries, processing more than two million parking events daily, and helping clients to optimize their use of parking spaces and generate actionable data. Currently, they are running hundreds of automation scenarios in Make, handling everything from small administrative tasks to customer communication. Before Make, it was difficult to track how complex scenarios interacted. Since many scenarios are using the same source of data, even the smallest change could break an entire workflow, creating stress for Wemolo’s team and forcing them to fall back on time-consuming manual work.

Leon Rainalter, Operational Excellence Specialist at Wemolo, explains how adopting Make and Make Grid (an interface that automatically generates a view of the automation landscape) helped the team eliminate operational blind spots, manage automation confidently, and dramatically accelerate scenario updates.

We wanted a solution that everyone understands. That’s why Make, as a no-code software, was the best option for Wemolo. The user interface is intuitive, you can link different modules together, and see dependencies.

Image note: A visual map of the Hardware Protocol Management scenario in Make Grid

Prior to implementing Make Grid and Make in general, Wemolo faced three main operational hurdles:

Relying on manual workflows

Before automation, everyday tasks like sending emails or handling status changes and data entry in operational workflows required human input. These repetitive tasks were slowing down a team responsible for planning, installing, and maintaining a rapidly growing network of parking solutions.

Struggling with growing automation complexity

As Wemolo expanded, so did their automation needs. With over 900 scenarios created and 500 used daily, even the simplest organizational change, like renaming a team, could impact hundreds of automations. Identifying and fixing affected workflows was time-consuming and error-prone.

We’re a young company. Things change all the time. New teams get merged, naming conventions get updated, or workflows evolve, and we need to adjust our data models to fit the new structure. It sounds minor, but without proper visualization, making these changes is overwhelming.

Losing trust in process changes

The fear of breaking scenarios during organizational updates loomed over employees. When automation broke down, people had to do everything by hand again. This increased their workload and made them hesitant to change anything in the automation setup.

Before we had Make Grid, these updates scared all employees because everyone knew that if we changed something and the automations failed, this would just lead to tedious manual work.

The solution

Here is how Wemolo is using Make and Make Grid to address their issues:

Centralized automation with visual clarity

Leon and the Operational Excellence team took the lead in building and managing automations across the company. They automated high-impact, repetitive tasks, such as updating databases based on specific triggers and sending scheduled emails, bringing all workflows into one centralized platform. This not only reduced manual work but also ensured that processes ran consistently and efficiently across departments.

Everything is much simpler with Make. Let’s take gathering data for writing an email as an example. Make has modules for every step – getting input from a database, querying other databases, and then creating one output.

Scenario transparency with Make Grid

Make Grid allowed Wemolo to visually map all 900 scenarios and understand how they depend on each other. It helps them make any changes, from the smallest updates to big operational shifts, quickly and safely, without fear of breaking their workflows. This lets them scale quicker and evolve their automation landscape with confidence.

Make Grid ensures that only the right workflows are adjusted, so nothing breaks. It lets us roll out backend changes far more often, knowing employees won’t be saddled with extra manual work. That transparency cuts anxiety and restores trust in every update.

For example, when the team recently changed a department name, they used Make Grid’s search to identify and update 300 affected scenarios. This effort would have been overwhelming without this level of visibility.

We just typed in the old team name, and instantly saw what needed to change. That’s the power of Make Grid!

Image note: A visual map of the Supply Chain scenario in Make Grid

The results

After implementing Make and Make Grid, Wemolo’s automation success grew rapidly:

7x more actively managed projects since 2021
Over 900 automation scenarios created, 500+ used daily
Significant reduction in manual tasks such as sending emails, updating statuses, and managing schedules
Faster response to organizational changes, cutting workflow update time from days to hours
Improved employee confidence in backend updates

Image note: A Technical Implementation scenario dependencies overview in Make Grid

Why are Wemolo & Make the perfect match?

Wemolo’s journey with Make is a clear example of how scalable, no-code automation combined with visual management tools can transform operations. The team’s ability to manage hundreds of complex workflows with precision using Make Grid reflects both their internal excellence and Make’s capacity to support growth.

With Make Grid, we now have a visualization of all scenarios, how they’re used, and how they interact. It’s much easier to see if a company or operational change needs to be reflected in the automations. Prior to this, it was a lot of manual effort. Now, it’s all visual, and so intuitive that anyone can use it.

Lastly, Leon offers a final takeaway for automation enthusiasts:

Don’t just automate the small stuff. Use Make confidently to handle complex processes, and always keep exploring new ways to evolve. If you’re unsure of the output, just add a human in the loop to make sure everything works well.