Research
How should organizations decide what is worth investing in?
SYNNWERK investigates business investment decisions under uncertainty — starting with AI.
Research engine
Theory
Published research
Model
Decision logic
Backtests
Historical cases
Real cases
Observed decisions
Outcomes
What happened
Update
Refine the model
Research does not end with a model. Cases and outcomes feed back into the system and change what the model should predict next.
Current questions
01
Opportunity
How can organizations distinguish an interesting AI use case from an opportunity worth investing in?
02
Evidence
Which assumptions actually drive an investment decision — and how much evidence is enough?
03
Uncertainty
When is it more valuable to test first than to implement immediately?
04
Outcome
How can predicted value, actual investment and observed outcomes improve future decisions?
Research system
Now
Decision Model v0.1
Define a transparent model combining value, uncertainty, evidence and staged investment.
Next
Backtests
Apply the model to publicly documented cases and examine whether it identifies the critical decision variables.
Then
Observed outcomes
Compare decisions and predictions with what happens in practice and refine the model over time.
Cases & findings
In preparation
First AI investment backtests
The first cases will test whether the model can identify which uncertainty changes an investment decision most. Findings will be published here as the research develops.
Start with your own opportunity.
The AI Opportunity Check is the first working product emerging from this research.