Announcing RegenROI: A Causal Decision Framework for Climate Restoration
RegenROI as a Pre-Scaling Causal Decision Framework for Climate Restoration Interventions — Integrating Complex-Adaptive Enterprise Architecture (RegenERP) and Applied Use Cases.
The contemporary global economy is undergoing a necessary paradigm shift from linear, extractive models of value creation to systems prioritizing holistic ecological and social restoration. Traditional corporate sustainability paradigms, which largely focus on harm reduction and net-zero targets, are no longer sufficient. To address this, CISUREGEN™ has released a comprehensive working paper detailing a new multi-capital accounting protocol and technological methodology: RegenROI (Regenerative Return on Investment) and RegenERP (Regenerative Enterprise Resource Planning).
The Core Framework
RegenROI moves definitively beyond traditional Return on Investment (ROI) metrics by calculating ecological restoration, community resilience, and economic viability simultaneously. The mathematical framework synthesizes human (People), ecological (Planet), and financial (Profit) dynamics. Crucially, it introduces non-linear systemic modifiers, including a Symbiosis coefficient, an Adaptivity rate (conceptually embedding the Finnish mindset of "sisu" for unyielding resilience), and a Regeneration Cost Factor to account for negative externalities.
Moving from Correlation to Causation
A foundational premise of the paper is the severe limitation of traditional predictive machine learning, which relies on historical data associations and correlations. Because climate change introduces unprecedented, non-stationary shifts, RegenERP utilizes structural causal models (SCMs) and Directed Acyclic Graphs (DAGs) inspired by Pearl's paradigm of causal inference. This enables organizations to run ex-ante (before the event) counterfactual simulations, predicting the precise causal effects of environmental interventions before deploying massive capital.
Complex-Adaptive Enterprise Architecture
To operationalize this highly granular, multi-capital data, organizations must dynamically restructure their IT and corporate hierarchies. The paper advocates for a Complex-Adaptive Systems (CAS) approach leveraging the ubiquitous TOGAF® 10th Edition standard. By fundamentally re-architecting the Business, Data, Application, and Technology (BDAT) layers, massive enterprises can unbundle into agile micro-enterprises capable of rapid adaptation to non-linear climate realities.
The framework is successfully demonstrated across three applied use cases:
- • Transitioning global agricultural supply chains
- • Developing urban green-blue infrastructure for extreme heat
- • Enforcing circularity in technology hardware manufacturing
📄 Download the Full Working Paper
Access the complete Industrial Research Working Paper: RegenROI as a Pre-Scaling Causal Decision Framework for Climate Restoration Interventions. This comprehensive document includes the full multi-capital accounting protocol, the structural-causal methodology behind RegenERP, the Complex-Adaptive (TOGAF® 10) enterprise architecture, and the three applied use cases in detail.
Key Themes
- • Multi-Capital Accounting: Measuring People, Planet, and Profit simultaneously
- • Causal Inference: SCMs, DAGs, and ex-ante counterfactual simulation over correlation
- • Complex-Adaptive Architecture: Re-architecting BDAT layers with TOGAF® 10
- • Pre-Scaling Decisions: Predicting causal effects before deploying massive capital
🔗 Explore More CISUREGEN™ Research
RegenROI and RegenERP build on our broader research program in causal, complexity-adaptive decision intelligence. Explore the companion working paper on the Neuro-Causal-Symbolic Architectures that underpin verifiable, data-driven decision making.
Legal Notice & Intellectual Property
CISUREGEN™ is a trade name of Magic Moment Technology Ltd Oy.
RegenROI™ (Regenerative Return on Investment) and RegenERP™ (Regenerative Enterprise Resource Planning), together with the associated multi-capital accounting protocol and causal methodology, are proprietary research assets of Magic Moment Technology Ltd Oy. TOGAF® is a registered trademark of The Open Group. All rights reserved.
Magic Moment Technology Ltd Oy (Finnish Business ID: 0741101-3).