For the past two decades, the maturity of asset management has been primarily measured by how effectively asset-intensive organizations align with the principles of ISO 55001—leadership, planning, operations, evaluation, and continuous improvement—often using checklists, frameworks, and self-assessments.
And yet, when regulatory cycles tighten, budget shrinks, or climate shocks hit, those same organizations often discover that process maturity doesn’t automatically translate into decision maturity and that maturity on paper doesn’t always translate into resilience in practice.
In Ofwat’s Asset Management Maturity Assessment (AMMA) — a 2024 landmark study of the UK water sector —utilities scored themselves across leadership, risk, planning, and asset data. The regulator’s findings were clear: while progress had been made, most companies still struggled to translate data into actionable, system-level decisions and few can demonstrate how maturity directly improves decision-making or long-term investment planning.
Academic studies such as Casalta (2024) have shown that organizations with lower asset management maturity struggle with capital prioritization and risk-based planning — leading to under-optimized investment portfolios. Similarly, Mårtensson’s (2019) research into Swedish water utilities highlighted how weak leadership commitment and fragmented data can block the benefits of mature investment planning altogether.
In short: you need asset management maturity to unlock Asset Investment Planning maturity. That’s the gap Cosmo Tech Asset Management Readiness Assessment is designed to close — connecting operational discipline with strategic foresight through AI Simulation.
Today’s reality is simple: traditional maturity frameworks measure readiness, not capability. The organizations leading the way are moving beyond static scores and redefining maturity around one core capability: how effectively they can simulate, test, and optimize decisions.
AI Simulation makes that possible and the Cosmo Tech Asset Management Readiness Assessment captures this evolution across three dimensions:
Depth measures how comprehensively you plan across asset classes and lifecycle stages. Low-maturity organizations focus on individual assets or short-term renewals; high-maturity ones plan entire systems across design, operation, maintenance, and renewal.
Cosmo Tech AI Simulation models the entire portfolio across time horizons, connecting lifecycle data to organizational objectives. Simulation ensures that ISO 55001’s “Plan” and “Operate” principles are fulfilled through evidence, not assumption.
Richness assesses how trustworthy, connected, and insightful your asset information really is. Mature organizations integrate EAM, ERP, GIS, and IoT data into a unified, auditable environment and use it to drive predictive modeling and optimization.
Cosmo Tech consolidates these diverse sources into a single source of truth, where every decision is backed by explainable, traceable insight. This aligns directly with ISO 55001’s focus on information management and continual improvement.
Complexity is the true frontier of maturity. It reflects how effectively you understand and capture the dependencies between assets, policies, budgets, and external factors such as climate, regulation, and demand.
Capital-intensive organizations sit on vast portfolios of long-lived assets — water networks, energy grids, transport systems — where every investment decision has consequences that play out over decades.
To manage that kind of complexity, maturity can’t be static. It must be dynamic, predictive, prescriptive and connected. While traditional maturity models focus on governance and documentation, the Cosmo Tech Asset Management Readiness Assessment takes the next step, showing how AI Simulation transforms maturity into a dynamic capability that continuously tests and validates decisions.
Within the Cosmo Tech Asset Management Readiness Assessment, simulation demonstrates five key facets of maturity in action:
All data, models, and lifecycle stages are connected in a single environment. Simulation unites EAM, APM, and financial systems, providing a holistic view of assets and their interdependencies.
Simulation enables organizations to stay ahead — to test strategies before committing capital, explore trade–offs between cost and risk, and understand how today’s decisions will ripple through tomorrow’s networks.
Teams across departments work within the same transparent scenarios. Simulation creates a shared decision environment, aligning engineering, operations, finance, and leadership.
Boards and regulators gain defensible, auditable evidence of decision quality. Every choice is traceable, explainable, and backed by quantified scenario results.
Simulation connects asset management with financial strategy — bridging operational insight and capital foresight. It empowers organizations to prioritize investments, quantify ROI, and plan confidently under uncertainty.
Through this lens, AI Simulation doesn’t replace existing asset management systems — it elevates them. It transforms maturity from compliance into confidence, giving organizations the ability not just to understand their assets, but to shape their future with evidence-based precision.
Across sectors, regulators are signaling a clear shift: maturity can no longer be self-declared — it must be demonstrated through outcomes.
Our customer, one of the most advanced Electric Transmission Utilities in Europe modeled its entire network, testing investment and maintenance strategies over the next years. The simulation revealed that increasing maintenance budgets would deliver medium-term savings — evidence compelling enough for the French regulator CRE to approve a 15% budget increase and mandate simulation-based planning for future asset strategies.
Today, they are using Cosmo Tech to align national and regional priorities, optimize capital allocation, and ensure long-term grid resilience. In its public report, the French Energy Regulatory Commission (CRE) requested them to use the same method, based on Cosmo Tech, for all its asset management plans. It’s a clear example of maturity in action — moving from reporting processes to proving performance through simulation.
Traditional maturity assessments are snapshots in time. Simulation turns them into continuous motion.
Every simulation run becomes part of a learning loop — improving data quality, sharpening forecasts, and strengthening future decisions.
This is the practical expression of continual improvement: not as an audit requirement, but as a culture of adaptation.
A mature organization doesn’t just monitor its assets — it anticipates their behavior. It doesn’t just analyze data — it simulates outcomes. By integrating simulation into existing EAM and APM environments, organizations gain a holistic view of their networks: understanding cascading risks, testing investment options, and identifying the optimal strategy under uncertainty.
The result is not only operational excellence, but investment confidence — the ability to justify, prioritize, and adapt decisions with transparency and precision.
Simulation adds three distinct layers of maturity to asset management:
In short, the Cosmo Tech Asset Management Readiness Assessment provides the structure. The AI Simulation platform for Asset Management provides the evidence. And this is where maturity becomes measurable.
