Practical analysis for controlled AI adoption.
Evidence, field observations and practical guides for organisations that need AI to be useful, governable and sustainable.
Available analyses and guides
Can a Swiss fiduciary use public AI tools with client information?
A practical Swiss framework for assessing when fiduciaries may use AI services with client information, and which legal, contractual and technical controls matter.
Where should human validation sit in AI workflows for independent asset managers?
A practical control architecture for placing human validation across AI workflows used by Swiss independent asset managers.
How to identify the first useful AI workflow
A practical method to locate administrative capacity leaks and select a bounded, measurable first AI workflow.
What Swiss hosting does and does not guarantee
A restrained analysis of Swiss data location, VPC boundaries, vendor access and international transit routes under the FADP.
Why AI training often fails to change work
Field observations on why generic prompt workshops rarely alter workflows, and how training can produce controlled operational change.
How to define human validation points
A practical checklist for verification interfaces, error alerts, exception handling and evidence in AI-supported workflows.
What to review before using internal documents with AI
A practical audit of document authority, quality, classification, permissions and retrieval before connecting internal knowledge to AI.
How to assess AI readiness without exaggerating maturity
An evidence-based maturity method that separates enthusiasm and policy from demonstrated operational capability.
The difference between experimentation and operations
Why a successful sandbox is only the beginning, and which governance, engineering and operating evidence production requires.
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