When AI shows up in every other ad these days and data protection seems to be regulated anew every other day, it helps to read for yourself what it's really about - and how we handle it.
Language models, training data, hallucinations, knowledge cutoff - the terms you'll be hearing everywhere in the coming time, explained in plain language.
Read → PossibilitiesSix opportunities AI brings to SMEs and to society - from the democratisation of knowledge to the new effectiveness of small businesses.
Read → Reality checkSix risks every business should know before embedding AI in daily work - from hallucinations to black-box effects.
Read → Data protectionWhere your data sits, who has access, how we safeguard AI, what's in the data processing agreement. Six concrete points.
Read →Three texts on our convictions: how to recognise good software, where SME projects typically fail, and how the world of small and mid-sized businesses is changing in the years ahead.
Six markers of software that works for you - rather than the other way round. In plain language, with concrete examples from practice.
Read → RealitySix hurdles software regularly stumbles over in businesses - and why the technology is rarely the actual problem.
Read → Looking aheadSix observations on how small and mid-sized businesses are changing in the years ahead - what gains in importance, what stays human, and what matters.
Read →Three texts on our order, our method and our process - so you know what's coming before you decide to work with us.
Why we never build AI first. About the two stages our work always runs through - and what's behind them.
Read → MethodHow we really understand the problem before writing the first line of code. Six steps of honest diagnosis - and why they save two-thirds of the work that follows.
Read → PracticeFrom the first click in the contact form to the running software. Seven clear steps, with timings and the concrete effort on each side.
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