What we are learning, written down.
Field notes from engagements across Zurich, Berlin and Madrid. No gated PDFs, no lead-capture walls — the analysis is the point.
When does a startup or SME actually need a strategy consultant, and what should it buy?
When outside strategy work pays for a startup or SME, when it does not, and how to scope it so a 20-person company gets a decision, not a deck.
Read the analysis →Which generative AI use cases actually pay back for a small company?
For a company of 10 to 200 people, five generative AI use cases tend to pay back first. How to choose one, protect customer data and run a four-week trial.
Read →Fractional CTO, consultant or first technical hire: who should shape a startup's technology?
What a fractional CTO, a consultant and a first senior technical hire each give a 3–50 person startup, the stage each fits, and how to combine them.
Read →How to write a digital strategy for an SME: it should fit on one page
A digital strategy for a 30 to 300 person company fits on one page: five lines, a short ranked list of initiatives, and a quarterly review.
Read →Is your data ready for AI? The five foundations an SME actually needs
Most SMEs need no data warehouse or data team before AI. The five data foundations that matter, a two-week readiness check, and Swiss cloud choices.
Read →What can AI agents realistically automate in an SME in 2026?
An AI agent is a model that acts through your tools. Where agents work in a 10 to 80 person firm, where they must not act alone, and the controls to run.
Read →How does a new medical practice get found in Switzerland?
A specialist opening a practice cannot advertise like a shop. What Swiss rules allow, how patients search, and the sequence that produces referrals.
Read →How does a new fintech brand get taken seriously in Switzerland?
Trust is the product before the product is. What a new Swiss fintech may claim, how FINMA status shapes the message, and the order that wins a first client.
Read →Can you build a brand with an algorithm instead of a budget?
Founders without a marketing budget can still decide what to publish systematically. The scoring rule, the measurement, and where it stops working.
Read →Taking payments in Switzerland: the decisions that come before the code
Who holds the money, which methods Swiss customers use, how QR-bill references reconcile, and what to settle before an SME chooses a payment provider.
Read →Demand forecasting without a data science team
Forecasting pays back fastest in companies of 20 to 300 people, once the decision, the data and the measure of error are settled. A practical method.
Read →AI in Swiss healthcare: what is allowed, and where it actually helps
Health data is sensitive under Swiss law and some software is a medical device. Which AI projects a practice or clinic can start now, and which need advice.
Read →When does a small company actually need an ERP?
Spreadsheets work longer than vendors admit. The five signals that it is time, what an ERP costs a small Swiss company, and the cheaper steps to take first.
Read →ERP data migration: the part that overruns, and why
Migration is where most ERP timelines are lost. What the work consists of, what Swiss retention rules allow, and how a small team should sequence it.
Read →Digital transformation for an SME: what to do in the first 90 days
A 90-day plan for a company of 20 to 200 people with no PMO, no data team and a tight budget: one process, one owner, one measured change.
Read →The revised FADP: what Swiss companies actually have to do
A working checklist for the revised FADP: which duties apply at your size, what to do after a breach, and the three findings that come up every time.
Read →How to choose a management consulting firm in Zurich
A buyer's guide to the Zurich consulting market: what the tiers actually differ on, which questions separate firms, and how to structure the contract.
Read →Industrie 4.0 in Swiss manufacturing: where to start, and what to skip
Swiss manufacturers do not lack sensors. They lack a decision the data changes. A sequence that produces measurable output within one quarter.
Read →ERP selection for Swiss mid-market: how to run it without wasting a year
SAP, Microsoft, Odoo or Abacus? A selection method that produces a defensible decision in eight weeks instead of a twelve-month evaluation.
Read →Cybersecurity for Swiss SMEs: the five things that actually matter
Most Swiss SME intrusions exploit the same five gaps. What to fix first, what the FADP expects, what it costs, and what can safely wait.
Read →What should a Swiss company actually pay for consulting?
Day rates, fixed fees and value-based models compared for Swiss SMEs, the costs proposals leave out, and the questions that show what you are buying.
Read →Why AI pilots stall in Swiss companies, and what gets past that
Most AI pilots in Swiss SMEs and startups work but never ship. The blocker is rarely the model. What gets one to production, what it costs, what the law asks.
Read →Why ERP programmes stall in Swiss mid-market companies
Most Swiss ERP programmes do not fail on technology. They stall on unowned decisions. Where the time goes, what a stall costs, and what to fix first.
Read →Cloud migration in Swiss banking after the revised FADP
The revised FADP did not ban the cloud. What FINMA and the FADP expect a small bank or asset manager to prove before moving, and in what order.
Read →How to measure ROI on a digital transformation before you fund it
Most transformation business cases are unfalsifiable. A usable one commits to a baseline, a target, a date, a full cost and a way to be wrong.
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