From Models to Decision Architectures
Trisensors is dedicated to understanding decision structures.
We examine a fundamental challenge of modern AI:
how instability emerges in complex systems
even when individual components operate correctly.
Our work centers on decision architectures
rather than isolated models.
Our Focus
We analyze how decisions behave under real-world conditions and how they change under controlled variation.
This allows us to identify structural inconsistencies, semantic mismatches, and unstable decision spaces before they become real-world risks.
Decision Stability Analysis
Responsible Decision Architectures
We examine how AI systems structure decisions
and how these structures affect real-world outcomes.
Our focus is on stability, accountability, and control in complex decision environments.
Decision-Centric Collaboration
We bring together expertise from different domains to analyze how decisions emerge in complex systems.
The focus is not on disciplines themselves,
but on how their interaction shapes decision behavior.
Applied Decision Analysis
We apply our frameworks to real systems to analyze how decisions behave under real-world conditions.
The goal is not to optimize performance — but to understand stability.
Selected Work
Selected Publications (Highlights)
Backward Target Analysis Principles
Backward Target Analysis (BTA) serves as a diagnostic framework for decision architectures, analyzing how stability is maintained or compromised under real-world perturbations. By examining system behavior from intended targets backwards to initial conditions, BTA identifies critical structural vulnerabilities in complex decision spaces.
What BTA Is
- A diagnostic framework for decision architectures
- A method for identifying structural instability under perturbation
- A replay-based analysis approach (non-interfering, audit-oriented)
- A foundation for stability-aware governance in AI systems
What BTA Is Not
- Not a certification scheme
- Not a benchmarking or accuracy metric
- Not an explainability (XAI) method
- Not a standalone compliance solution
Work with us
STABILITY • STRUCTURE • DECISION • STABILITY • STRUCTURE • DECISION