Methodology
How we work: ATHENA, context engineering, 5 kinds of prosperity
Three tools that together form a model. Pragmatic, Swiss, six phases.
ATHENA framework
Six phases. Each with a question a Swiss SME realistically asks itself. Plus a Waldsee service that steps in exactly there.
| Phase | What | Typical question | Service |
|---|---|---|---|
| A · Awareness | Awareness of opportunities and risks | Where does AI even make sense for us? | AI Potential Assessment |
| T · Trust / Transformation | Build trust, process → workflow | How do we trust the tech without being naive? | Strategy Workshop |
| H · Harmony | People and AI in balance | How do we keep employees at the centre? | Implementation Guidance |
| E · Empowerment | Enable the team | How does the tool actually get used? | Waldsee Training |
| N · Nurture | Care, continuous feedback | How do we keep learning without it becoming a project? | Day-Rate Implementation |
| A · Adaptation | Scaling successful approaches | What do we do with what works? | Implementation |
Context engineering
The hype term in 2024 was "prompt engineering". By now the industry knows: a good prompt alone is not enough. What really counts is the context an AI tool works in. The data, the connections, the permissions, the knowledge base, the workflows around it.
We call this context engineering: not "find the right trick" but "build the right system". This is why the same ChatGPT licence performs 100× differently in two companies. The model is not different. The context is different.
The 5 kinds of prosperity
Efficiency alone does not make a successful company. Those who introduce AI often optimise only financial prosperity. And lose social, time or mental prosperity along the way. We think of success along five axes:
| Axis | Meaning |
|---|---|
| Social prosperity | Relationships, trust, community within the company |
| Physical prosperity | Health, movement, vitality, also in everyday office life |
| Financial prosperity | Stability through "enough", not through maximisation |
| Time prosperity | Autonomy over your own time |
| Mental / spiritual prosperity | Clarity, meaning, inner calm |
AI implementation that optimises only one axis is not sustainable. We test every use case against this question too: does it make the company richer along all five axes, or only one?
How the three work together
ATHENA is the order (six phases). Context engineering is the technique (systems instead of tricks). The 5 kinds of prosperity are the filter (which use cases are worth the money?). Together they form a pragmatic model that fits on a single A4 page in 60 seconds and can change a company in 6 months.
Common questions
Is ATHENA scientifically validated?
No. ATHENA is a practical model, not a peer-reviewed research framework. It is distilled from consulting practice and established change-management concepts.
Can I apply ATHENA myself?
Yes. That is the point: we do not sell a consulting secret. Most Swiss SMEs manage the Awareness and Trust phases themselves and need support from the Harmony phase on.
What if we already use OKR or PRINCE2?
Then ATHENA fits alongside it. It is not a replacement but an AI-specific lens over existing methodology.
Why "forest bathing" and "prosperity" in a tech consultancy?
Because a tech implementation without the human factor fails. The most beautiful AI architecture does not work if the team is mentally spent.
The methodology in practice
Start with the Awareness phase: a structured finding of where AI makes economic sense in your operation.