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Insights for people who have to decide.

Plain-spoken, answer-first writing on building AI software — what it costs, who should build it, and how to ship it without the usual agency theatre. Written by the team that does the work, not a marketing department.

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// Strategy

In-house vs outsourced AI development: which is right for you?

When to build AI capability inside your company and when to bring in an outside team — a decision framework based on speed, risk, IP ownership and what you actually need to own long-term.

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// Pricing

What it costs to build an AI application

Honest ranges for AI projects — from a proof of concept to a production application — plus the running costs nobody warns you about, and how a 50/50 model removes the risk from your side.

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// Explainer

AI copilots and agents explained for decision-makers

What a RAG copilot is, what an AI agent is, how they differ, and how to decide which one your problem actually needs — without the jargon and without the hype.

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// DACH

Building software for the DACH market

What it takes to build software that German, Austrian and Swiss customers will actually trust — DSGVO compliance, data that stays in-house, and the engineering quality the market expects.

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// Process

From idea to shipped: how Foways builds production software in weeks

Why a small senior team with no hand-offs ships production software in weeks instead of quarters — the working method behind it, and why two free iterations and a 50/50 model keep it honest.

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// faq

Frequently asked questions

What is the Foways Insights hub?
Insights is where the Foways team writes plainly about building AI software — what it costs, who should build it, how copilots and agents work, what the DACH market expects, and how we ship in weeks. Every article is answer-first and written by people who do the work.
Who writes these articles?
The team that builds the software. That is why the writing is concrete, honest about cost and trade-offs, and free of hype.