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Insights · Enterprise AI

Enterprise AI insight for decisions that carry consequences.

Original frameworks and direct answers on strategy, governance, architecture and value — grounded in operating experience and primary sources.

Latest insight

STRATEGY & READINESS · 14 MIN

The anatomy of an end-to-end AI project: the nine phases

A nine-phase framework for deciding, proving and industrializing enterprise AI — with the classic traps and the exit criteria for every phase.

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06 / DECISION ESSAYS
02

GOVERNANCE & SECURITY · 12 MIN

nFADP, AI Act and generative AI: what a Swiss company must do in 2026

Three perimeters to frame Swiss AI compliance in 2026: the nFADP, the AI Act’s extraterritorial reach, sector duties and a 90-day action plan.

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VALUE REALIZATION · 15 MIN

How to measure the real value of an AI program

Move beyond usage and time-saved claims with baselines, workflow metrics, total economics and evidence-based scaling decisions.

04

PLATFORMS & ENGINEERING · 18 MIN

Claude Code, Codex, Kimi Work or open architecture: how to choose

A system-level method for selecting Claude, Claude Code, ChatGPT Enterprise, Codex, Kimi Work and open architectures across data, integration, security, performance, economics and reversibility.

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GOVERNANCE & SECURITY · 16 MIN

AI governance and security: an operating framework for Swiss enterprises

Translate AI principles and regulation into risk tiers, technical controls, evidence and decision rights.

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STRATEGY & READINESS · 15 MIN

How to build an enterprise AI roadmap in Switzerland

A practical framework for moving from scattered opportunities to a governed, executable AI portfolio.

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One strong perspective per month.

01Named author and operating experience

02Primary sources and direct answers

03Original frameworks and decision tools

04Publication and update dates

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