Independent advice on n8n, Make, Zapier or Python. We model Total Cost of Ownership, recommend the right stack and ship within 4 weeks.
30 minutes · no obligation · reply within one business day
The questions we hear most from tech leads, operations managers and SME executives weighing up n8n, Make, Zapier or Python.
Tool prices vary widely, but the sticker price says nothing about real TCO once you factor in volume, complexity and maintenance.
Zapier task counts spiral unpredictably as workflows grow more complex, and the monthly bill keeps climbing.
Open-source (n8n) looks free, but hosting, monitoring and maintenance hide the real cost. Python loads pressure straight onto your dev team.
Your team is busy on the roadmap. There is no slack to model this properly before the decision lands.
From TCO analysis to a production workflow stack, one track with four clear deliverables.
We model 3-5 year Total Cost of Ownership for n8n, Make, Zapier and Python in your scenario.
Independent recommendation based on volume, complexity and in-house technical capacity.
We build the first workflows live, integrate with your systems and ship with clear documentation.
Your team takes it forward. No consultant lock-in, no black box.
From energy and social services to commerce, organisations building production automation with And AI.
A clear track with a fixed scope, deliverables and timeline.
One call to map your use cases, volume and current tools. No commitment.
We model n8n, Make, Zapier and Python on a 3-5 year TCO for your scenario, including hidden costs.
Reasoned recommendation plus a fixed-scope quote with deliverables, timeline and cost.
We build the first workflows, integrate with your systems and transfer knowledge to your team.
One track, four deliverables, no surprises. We deliver an independent tool recommendation backed by a TCO analysis, then ship the first workflows live in your systems.
Dutch AI consultancy focused on SME workflow automation
We sell no licences, only independent advice
We work alongside your team, no black box
Fixed-scope quote upfront, production in 4 weeks
Direct line to the architect, no account managers
The questions tech leads and operations managers ask most often before kicking off.
Zapier bills per task and ramps up quickly at high volume or complex workflows. Make bills per operation and is usually more cost-effective from a few hundred runs per month onwards. We model this exactly on your volume in the TCO analysis.
The open-source self-hosted package is free of licence cost. But you pay for hosting, monitoring, maintenance and the dev time to keep it running. In the TCO analysis we put these costs side by side with Zapier and Make so you get a fair comparison.
Python is the right choice when you need extreme customisation, already run a dev team in-house, or routinely handle data transformations no visual tool can cover. For most SME workflows, a no-code or low-code tool is faster and cheaper.
On request. After the intake call we send a fixed-scope quote. The exact investment depends on the number of workflows, complexity and the desired depth of integration.
Once the quote is signed, we kick off within a week. Time to production is 2-4 weeks depending on the scope.
That is a common reason to start this track. We measure your current task consumption, model a migration to Make or n8n, and execute the switchover without workflow downtime.
30 minutes to map your use cases, volume and current tools. Reply within one business day.
