Make Agency: scenarios, integrations and AI steps

MAKE WORKFLOWS THAT DELIVER

With Make we automate recurring processes between SaaS tools, APIs and AI steps. Fast to start, clean to operate.

Make or Zapier? Scenario audit as a first step

What is Make?

Make is a cloud service for visual automation. Workflows are called scenarios: you build them from modules that each perform an action in a tool, and steer the data flow with routers, filters and loops. For systems without a ready-made module, there are HTTP and webhook building blocks.

As a decision-maker, two points matter. Make bills in credits: most modules use one credit per run, AI features more depending on the model. And data location is tied to the organization: Make offers data zones in the US and in the EU. According to Make, some AI features still run in the US even in the EU zone – we check this before every AI step.

Whether Make or Zapier fits better is covered further down. If your data shouldn't leave your premises at all, self-hosted n8n is the alternative.

Hands sketching a flow of boxes and arrows on a small whiteboard

One lead, four steps, zero manual work

Run the sample workflow: form submission in, contact into the CRM, message to the team, confirmation by email – step by step with a log. Switch on the failure to see retries and the error branch. Everything is a simulation in your browser, nothing is sent.

Lead workflow as we build it with Make

Slack/Teams unreachable

Trigger: formNew request via the contact form
Create CRM contactCreate contact with company and source
Slack/Teams messageSales gets the lead in their channel
Email to the leadConfirmation with the next step

Error branchTicket for the admin, lead stays in the CRM

Execution steps: 0

Log

No run yet – click “Run”.

Sample workflow as a simulation, nothing is sent. Every attempt counts as one execution step here – how the vendors bill executions differs.

What we build with Make

Bookable individually or as a project. If Zapier, n8n or a custom backend fits better, we tell you up front.

Lead, support and back-office flows
Qualifying and assigning enquiries, creating tickets, forwarding documents. We build the scenario from the trigger to the hand-off to the person in charge.
Interfaces between CRM, shop and ERP
Ready-made modules where they exist, HTTP and webhook building blocks for everything else. Data is checked and transformed on the way and created only once.
AI steps in the scenario
Classifying enquiries, enriching contacts, summarizing texts. With a fixed output format, a check of the result and human approval where it counts.
Scenario audit
We go through your existing scenarios – credit usage, error paths, ownership, data zone – and you get a prioritized list of what's worth doing.
Error paths and alerting
Retries for temporary outages, clear rules for permanent errors and a message to the right person before a flow silently gets stuck.
Documentation, hand-over and maintenance
Every scenario gets a description of its logic and interfaces. When a connected tool changes its API, we adapt the scenario.

How your Make project runs

Cost and duration depend on scope. Our project calculator gives you a first range; the binding figure comes with the offer after the workshop.

First call
You describe the goal, the users and the systems you already have. We tell you straight away whether Make fits or whether another route is better.
Architecture workshop
We define the data model, interfaces and hosting and cut the scope into packages. The offer is based on that.
Delivery in iterations
We ship in short steps to a test environment, so you see every stage. Tests and code review are part of each step.
Go-live and operations
We deploy to your infrastructure or run the application for you. After that we handle updates and monitoring if you want.

Discuss your project Open the project calculator

Brands that work with us

Pros and cons of Make

Pros

A visual editor where even branching flows with routers and loops stay readable.
Many ready-made modules for SaaS tools, plus HTTP and webhook blocks for your own APIs.
No server of your own needed; scenarios run in the cloud straight away.
Error routes, retries and execution logs are built in.
With a short introduction, business teams can adjust simple scenarios themselves.

Cons

Billing is in credits, so costs rise noticeably when each run handles many records.
Cloud only, with no option to run it on your own servers.
Version control, testing and staging are weaker than in classic software development.
Complex data transformations quickly become hard to follow in the interface.
Scenarios are tied to the platform, so moving away means rebuilding them.

Is Make right for you?

A good fit if …

you want to connect SaaS tools such as CRM, newsletter, spreadsheets and project management quickly.
your processes have branches and several steps but do not justify a software project.
you want to start without infrastructure and see results fast.
business teams should understand the flows and make small changes themselves.

Probably not if …

you process very many records a day and per-credit pricing adds up.
compliance rules say your data must not leave your own infrastructure.
the automation is business-critical core logic with strict testing and release processes.
you already run a self-hosted workflow server or integration platform.

We are Make workflow builders

We structure Make scenarios so they are not just clickable but also maintainable and traceable.

SaaS integrations, webhooks and API orchestration
Error paths, retries and notifications
AI steps with validation and approvals
Documentation and handover for operations

Image about: We are Make workflow builders

Make or Zapier?

We work with both. What matters is the logic of your workflows, who maintains them and where the data may live. Answer four questions and see which way it leans, and why. The weighting follows the decision table below.

Question 1 of 4

What do your workflows look like?

All trade-offs as a table

When Make – and when Zapier?

We work with both. What decides is the logic of your flows, who maintains them and where the data may be stored:

Decision	Lean toward Make	Lean toward the alternative
Logic of the flows	Make, if a flow branches, iterates over lists or heavily transforms data between steps.	Zapier, if the flows are straightforward: one trigger, a few actions, maybe a filter.
Who maintains them	Make, if someone on the team can handle data structures and APIs and keeps developing the scenarios.	Zapier, if business teams without technical background should set up their automations themselves.
Data location	Make, if processing in the EU matters and the EU data zone is enough for that.	Zapier, if processing in the US is acceptable after checking with your data protection officer.
Connected tools	Make, if your tools have a module or can be addressed cleanly via HTTP.	Zapier, if you want to connect many smaller SaaS tools and a ready-made integration for each matters more than the logic in between.

As of October 2026

A fast path to productive automation

Make suits process chains that need to connect multiple tools. We model triggers, states and handoffs so teams understand and control the flow.

Visual orchestration with API depth

Standard modules accelerate setup; HTTP and custom calls cover edge cases. The workflow stays flexible without becoming opaque.

Monitoring and fault tolerance

Automation only saves time when errors become visible early. We add alerts, retry logic and manual fallback paths.

AI plus process logic

Make is strong when classical logic and LLM steps come together. We combine evaluation, routing and human-in-the-loop where decisions must be safeguarded.

Selected references

Marketing and sales processes

Qualifying leads, enriching contacts and triggering campaigns: Make connects data sources and systems without a long platform project.

Internal process chains

Status changes, escalations and data synchronization can be implemented quickly with Make when error handling and ownership are clearly defined.

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Frequently asked questions about Make

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When is Make worth it – and when is it the wrong choice?

Make shines when you want to connect several SaaS tools, APIs and AI steps visually into recurring workflows without writing custom code for every integration. Its visual scenario editor makes the data flow between modules visible and gets you up and running quickly. For very compute-heavy logic, high data volume per second, or requirements that demand full control over the runtime, we'd rather point you to a dedicated backend, for example with Node.js or Python.

How do you actually go about building a Make scenario?

We start with the process, not the tool: what triggers it, which data flows, who needs to approve, and what happens when something fails. From that we build the scenario so it's not just clickable but also maintainable and traceable – with a clean module structure, clear naming and documented assumptions. That way someone who didn't build it from scratch can still adjust it later.

How do you connect Make to our existing systems like CRM, shop or ERP?

Make ships with ready-made modules for many common SaaS tools; everything else we connect via webhooks and the respective REST APIs. This lets us orchestrate interfaces between CRM, shop, ERP and marketing tools, enriching, routing or summarizing data along the way with AI steps. We set up authentication and access so they fit your approval and security rules.

What happens when a step in the workflow fails?

Clean error paths are a must for us, not a nice-to-have: we build in retries for temporary glitches, define what should happen on permanent failures, and set up notifications so nothing stalls unnoticed in the background. For AI steps we add validation and, where needed, a human approval before a result moves on. That keeps automation reliable instead of turning it into a black box.

Can we operate and extend a Make scenario ourselves later on?

Yes, that's exactly where we put the focus. We document the scenarios and hand them over together with an explanation of the logic, the interfaces and the error paths, so your team can maintain them. And when a process outgrows what Make can sensibly handle, we say so openly and show the path to a more robust setup.

Sources

As of: October 2026

Your edge with Make

Visual automation quickly turns into hard-to-maintain scenarios. We build Make workflows with clear responsibilities, data flows and operational concepts.

Fast delivery without losing control
Clean API and webhook architecture
An eye on operations, fault tolerance and scaling
A combination of AI, integration and process expertise

Ready for your Make project?

Let's talk about your requirements – we'll get back to you within one business day with concrete next steps.

What's it about?

Discuss your project +49 (0) 2161 539 71 60

Paul Kalisch

Executive Partner

30 minutes by video or phone
You talk directly to a partner, not to sales
You get the order of steps, risks and rough costs

+49 (0) 2161 539 71 60 info@next-levels.de

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