Business Process Automation

Swiss SMEs and enterprise teams in Zurich, Zug, Geneva and Basel share one quiet drag on margin: hours per week spent re-keying data between systems, chasing approvals through email, copy-pasting from PDFs into ERPs, and producing the same monthly reports by hand. With CHF 80 to 140 per hour fully loaded labour cost in the Greater Zurich Area, every saved hour is real money returned to the P&L. Business process automation is the structured discipline of identifying these drag points and replacing them with reliable software workflows that run unattended, twenty-four hours a day, with full audit trails the FINMA, GDPR and revAML examiners will accept.

Most Swiss organisations have already tried automation and been burned. They bought a Zapier subscription that no one maintains, ran an RPA pilot that broke the moment Outlook updated, or built a SharePoint Power Automate flow that stalled when one mailbox quota filled. The pattern is familiar: tools were chosen before processes were mapped, success metrics were never defined, and no one owned the automation after go-live. The result is a graveyard of half-finished bots and a leadership team understandably sceptical of the next vendor pitch. Our methodology starts from the opposite assumption, that tooling is the last decision, not the first.

We begin with a structured Process Discovery sprint, typically three to five business days for a department-level engagement. We sit with the operators, watch the work happen, and produce a quantified opportunity register: process name, current cycle time, error rate, monthly volume, integration touchpoints, regulatory sensitivity, and a candid automation feasibility score. This is the same discovery rigour described in our AI integration consulting engagements, applied specifically to repetitive operational work rather than greenfield AI projects. Clients receive a ranked backlog showing payback period in weeks for each candidate, so the executive sponsor can fund automation against the same hurdle rate as any other capital project.

The second phase is Solution Design and Tool Selection. We are deliberately tool-agnostic. For lightweight inter-SaaS plumbing we use Make.com or n8n self-hosted on a Hetzner Switzerland VM when data residency matters. For heavier ERP, banking or insurance core-system work we deploy UiPath or Microsoft Power Automate Desktop with attended and unattended bots. For document-heavy workflows we layer in custom Python services with Docling or Azure Document Intelligence to extract structured data from scanned invoices, claim forms, contracts and policy documents. Where workflows include conversational steps such as customer triage or appointment confirmation, we route those through the same voice and chat infrastructure described in our AI chatbot and voice assistant practice, so the customer-facing layer stays consistent with the back-office automation.

Our tech stack standardises on Python 3.12, TypeScript on Node 20, PostgreSQL or Supabase for state, Temporal or Trigger.dev for durable execution, and OpenTelemetry for observability. For machine-learning enhanced steps such as classification of inbound emails, anomaly detection on expense reports, or extraction of named entities from contracts, we draw on the modelling work documented under machine learning solutions. Every automation we ship includes structured logging, retry policies with exponential backoff, dead-letter queues, and Slack or Teams alerting so operations teams know within minutes when something needs human attention. The full catalogue of complementary capabilities is available on the AI and automation hub.

Pricing and timeline are transparent. A Process Discovery sprint is CHF 6,500 fixed fee and delivers the ranked opportunity register plus two detailed solution designs ready to build. Implementation of a single automation typically runs CHF 8,000 to CHF 35,000 depending on complexity, with most departmental workflows landing between CHF 12,000 and CHF 22,000. We quote fixed-price wherever the scope permits, time-and-materials only when the integration target is genuinely unknown. For organisations automating five or more processes per quarter, we offer a retainer model at CHF 18,000 per month covering one senior automation engineer, one junior, and shared platform infrastructure. Individuelle Offerte applies for regulated workflows in banking, insurance or healthcare where compliance documentation extends the timeline.

The ROI math is uncomfortable for organisations who have not measured it. A finance team processing 400 supplier invoices per month at 12 minutes each spends 80 hours monthly on data entry. At CHF 95 fully loaded, that is CHF 7,600 per month or CHF 91,200 per year of effort, before the cost of late-payment penalties and supplier disputes from typing errors. A correctly designed invoice-capture automation reduces that to roughly 90 seconds per invoice for human verification, recovering 70 hours per month. Pay-back arrives between month three and month five, and the automation continues compounding for the five to seven years until the underlying ERP is replaced.

A recent engagement makes this concrete. A Swiss insurance broker was losing leads because their reception line sat unanswered between 17:30 and 09:00 and during the lunch hour. We deployed a German-language voice assistant that handles inbound calls around the clock, qualifies the caller, books an appointment in the broker's CRM if appropriate, escalates urgent claims to the on-call advisor by SMS, and emails a structured summary to the assigned account manager. Within six weeks of launch, after-hours capture rose from zero to forty-three qualified conversations per week, average response latency dropped from twelve hours to under two minutes, and the broker reallocated the equivalent of one full-time receptionist role to higher-value advisory work. Confidentiality prevents naming the client, but the architecture is the same one we will scope for any insurance, legal or healthcare customer-facing operation.

Compared with the alternatives, the picture clarifies. DIY with Zapier gets you to roughly forty per cent of the value if a technically literate operations manager dedicates ten hours per week to maintenance, and zero per cent the moment that person leaves. Hiring an in-house automation engineer at CHF 130,000 to CHF 170,000 fully loaded makes sense once you have a continuous backlog of twenty plus automations per year, but most Swiss SMEs reach steady state at six to twelve. The Big Four consulting firms will deliver a beautifully documented PowerPoint and a six-month timeline starting at CHF 250,000, suitable for enterprise transformation programmes but disproportionate for departmental work. AETHER occupies the middle: senior practitioners, fixed-price scopes, code you own, deployed in weeks not quarters. For organisations also reconsidering their broader operating model, our work pairs naturally with digital transformation consulting, where automation is one component of a wider redesign. Clients headquartered in or serving the Zurich region also benefit from our local presence, detailed on the Zurich services page.

If any of this resonates, the next step is a thirty-minute discovery conversation. No slide deck, no sales engineer. We listen for the workflows that hurt, sketch a feasibility view, and tell you honestly whether we are the right partner. If we are not, we will name who is.