Less manual routine
Recurring tasks such as data entry, reconciliation and routing run automatically, freeing your team for work that genuinely needs human judgement.
AI Automation
Automate repetitive work — rule-based workflows that save time and prevent errors.
Recurring tasks such as data entry, reconciliation and routing run automatically, freeing your team for work that genuinely needs human judgement.
Every workflow follows fixed rules and triggers. Results are predictable, logged and auditable at any time – no black box.
We build pipelines in line with the revised FADP (nFADP) and FDPIC guidance – with clear data residency and control over where data flows.
With platforms like Make, n8n and Zapier, first automations go live quickly and can be extended process by process.
AI automation covers rule-based, trigger-driven processes that run reliably without constant manual intervention. The focus is on clearly defined processes with predictable inputs and outputs.
It starts with analysing your existing processes: where does recurring manual work arise, which systems are involved, and where are the rules clear enough to automate? This produces a concrete automation plan.
We then build the pipelines, test them against real cases and hand them over with monitoring and documentation. You get running workflows that we maintain and extend step by step as needed.
AI automation suits Swiss SMEs and teams with a high share of recurring, rule-based work – for example in finance, administration, customer service or order processing. If a process can be clearly described and occurs often enough, it is a good candidate.
AI automation is the rule- and trigger-based automation of recurring workflows – such as document processing, data sync and notifications. It delivers running, deterministic pipelines that connect systems and replace manual routine work, without the software making autonomous decisions.
AI automation follows fixed rules and triggers: same input, same flow, predictable result. AI agents, by contrast, are autonomous systems that reason, choose tools and decide what to do next. For clearly defined, repeatable processes automation is more robust; for open-ended tasks requiring judgement, agents are the right approach.
We work platform-agnostically and pick the tool to fit the process – often Make, n8n or Zapier for orchestration, combined with the APIs of your existing systems such as CRM, ERP or accounting. n8n can also be self-hosted when data should stay in-house.
Yes. We design automations in line with the revised Federal Act on Data Protection (nFADP) and the FDPIC's recommendations. This includes deliberate data-residency choices, data minimisation for personal data and clear traceability of where data flows. Where needed, components can run in Switzerland or the EU.
There is no fixed standard package for AI automation, as scope and complexity depend heavily on the specific process and the systems involved. After a short initial call we analyse your use case and prepare a tailored proposal with a clearly defined scope.
Simple, clearly scoped workflows can often go live within a few weeks. Larger efforts spanning multiple systems and edge cases take correspondingly longer. We deliberately start with one clearly scoped process and extend from there.
Tell us briefly about your situation – we’ll show you what AI can concretely do for you.