ARVANTTI FRACTAL · HYBRID DECISION ENGINE
ARVANTTI FRACTAL: A HYBRID APPROACH TO ANALYZING DECISIONS.
Arvantti Fractal is the hybrid decision engine of ARVANTTI LABS, an independent sister line to Arvantti Harness. It combines artificial intelligence to analyze information and explore alternatives, deterministic flows to apply explicit rules and digital twins to model processes and scenarios. Results depend on the data, assumptions, models and validation criteria defined for each implementation.
- Explicit assumptions and constraints
- Alternatives defined for each model
- Human review before acting
ARVANTTI FRACTAL · CONCEPT
FROM THE OPERATION TO A REVIEWABLE DECISION
Simulation explores a model and its assumptions. On its own, it is not a connection to equipment or real-time monitoring.
- 01 / 04
Operation
Question, available data and process constraints.
- 02 / 04
Model / digital twin
Representation designed to make scope, rules and assumptions explicit.
- 03 / 04
Flows and scenarios
Deterministic flows and alternatives defined within the model.
- 04 / 04
Decision
Accountable people review the analysis and decide the next step.
01 OPERATION AND MODEL
THE ANALYSIS STARTS FROM A REPRESENTATION OF THE OPERATION.
The design approach bounds the process, objectives, usable data and relevant constraints. Implementation and the quality of the analysis depend on the available assumptions and data.
02 COMPLEXITY
MACHINES, PEOPLE, PROCESSES, FLOWS AND RULES CAN INTERACT.
The Arvantti Fractal design aims to make explicit the relationships, limits and assumptions an implementation would have to model.
03 LAYERS OF ORDER
A CONCEPTUAL SIX-LAYER ARCHITECTURE TO ORGANIZE THE ANALYSIS.
The layers describe a design proposal; they do not certify components or integrations currently deployed.
04 EXPLORE BY VERTICAL
ONE CORE, MULTIPLE DECISION DOMAINS.
Select a vertical to explore which data, constraints and alternatives could be part of the model.
05 COMPARE SCENARIOS
EXPLORE TRADE-OFFS WITH EXPLICIT CRITERIA.
The concept describes how alternatives could be compared. No savings or returns are promised: any result would depend on validated data, assumptions and models.
An alternative assessed according to the case’s objectives, constraints and assumptions.
Another combination of decisions to weigh its trade-offs with the team.
Values and criteria are defined with the organization. Reference results are not presented as if they were guaranteed results.
06 DECISION
THE ANALYSIS INFORMS; THE TEAM DECIDES.
A responsible decision reviews assumptions, constraints and evidence and determines whether to act or adjust the model. Human approval is part of the approach; this description does not claim the flow is operational today.
Sequencing, capacity and maintenance.
Compare utilization and plan constraints.Routes, loads and service windows.
Explore the balance between cost and service level.Processes, times and resource allocation.
Analyze priorities and possible bottlenecks.Initiatives, criteria and constraints.
Weigh priorities against agreed objectives.Frequently asked questions
What is Arvantti Fractal?
It is the hybrid decision engine of ARVANTTI LABS: it combines AI, deterministic flows and digital twins to analyze alternatives according to the defined model and criteria.
How do AI and deterministic flows work together?
AI helps analyze information and explore alternatives; deterministic flows apply explicit rules, constraints and validations. The specific combination depends on each implementation.
What does a digital twin represent in Arvantti Fractal?
It is a model of a process or system that represents assumptions and allows scenarios to be explored. Its usefulness depends on the available data and on how the model is validated.
Does Fractal require Arvantti Harness?
No. Arvantti Fractal is independent and a sister to Arvantti Harness; there is no dependency between them.