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Make Agency

MAKEWORKFLOWSTHAT DELIVER

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

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Mubea

We areMakeworkflow 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

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.

Illustration zu A fast path to productive automation und Visual orchestration with API depth

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.

Illustration zu Monitoring and fault tolerance und AI plus process logic

Services &solutions

We analyse processes, model Make scenarios and bring them into operations in a controlled way.

  • Lead, support and back-office automation
  • Interfaces between CRM, shop, ERP and marketing
  • AI-supported enrichment, routing and summarisation
  • Governance, documentation and operations setup
Image about: Services & solutions

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 synchronisation can be implemented quickly with Make when error handling and ownership are clearly defined.

Illustration zu Marketing and sales processes und Internal process chains
Why nextlevels

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.

  1. Fast delivery without losing control

  2. Clean API and webhook architecture

  3. An eye on operations, fault tolerance and scaling

  4. A combination of AI, integration and process expertise

Related services

Ready for your Make project?

Let's talk about your requirements – we'll get back to you within 24 hours with concrete next steps.

Profile picture of Paul Kalisch, Executive Partner
Paul Kalisch
Executive Partner

Frequently asked questions about Make

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 summarising 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.