AI automation: the processes that run themselves.
Every week your team repeats the same motions: re-entering, chasing, compiling, forwarding. AI automation gives that time back to the people losing it.
We design and implement automations that hold up in production — from no-code to custom AI agents, depending on what the problem actually requires.
Which processes should you automate first?
A process is a good candidate if it is repetitive, rule-based and triggered by an identifiable event. Three criteria to decide:
→ Frequency × duration
A 10-minute task repeated 20 times a week costs more than a quarterly project. We always start with volume.
→ Cost of error
Re-keying financial data or customer details: automation pays as much in reliability as in time saved.
→ Stability of the rules
If the process changes every week, we stabilise it before automating. Otherwise you are automating sand.
n8n automation agency
n8n is our production tool, not a line on a brochure: our own operations run on it. We design the workflows, host the instance if needed, and hand you the keys — instance, workflows, documentation. No dependency on a proprietary subscription, no black box.
AI or classic automation: how to choose
Not every automation needs AI — and adding it where it brings nothing costs more and breaks more often. The rule is simple: if the rules are deterministic, classic automation is enough and will be more reliable. AI belongs where something has to be interpreted — reading an unstructured document, classifying a request, drafting a reply, extracting information from an email.
From repetitive task to production workflow
Mapping
We list the repetitive tasks and cost them in hours. The good candidates surface on their own.
Prioritisation by ROI
Each automation is estimated in implementation cost and hours recovered. We start with the best ratio.
Build
Workflow development, testing on real cases, error handling and edge cases. Regular demos.
Rollout & monitoring
Monitoring, alerts, adjustments. An unwatched automation eventually fails in silence.
What we automate most often
Invoicing and payment chasing
Issuing, sending, chasing unpaid invoices, bank reconciliation. One of the fastest returns on investment.
Document processing
Quotes, contracts, supplier invoices: data extracted and pushed straight into your tools.
Lead qualification
Enrichment, scoring and automatic routing to the right salesperson, with no manual step.
Automated reporting
Dashboards fed without intervention, current every morning, with no manual export.
Questions asked before automating
It depends on the number of steps and the systems to connect. A simple workflow is measured in days, not months. We always estimate implementation cost and hours recovered before starting: if the return is not obvious, we tell you.
No, and often you are better off without it. If the rules are deterministic, classic automation is more reliable, cheaper and easier to debug. AI is for interpreting unstructured content — not for looking modern.
It is designed for from the start: error handling, failure alerts, and a manual fallback available at every step. We set up monitoring and document the recovery procedure before going live.
No. The instance, the workflows, the code and the documentation belong to you. We train your team to modify them. No lock-in, no subcontractors, no fine print.
To go further: Digital transformation · Arkad Sprint
How many hours a week go into repetitive tasks?
30 minutes to identify your best automation candidates and estimate what they cost you today. No commitment.
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