Does your climate assessment really tell you where to invest?

Does your climate diagnostic really tell you where to invest?

Key takeaways if you only have 2 minutes

A climate diagnostic tells you where to look, not where to invest. Tools are proliferating, which is good news, but many stop at an exposure map when what a company really needs is a decision.

·        Exposure, vulnerability, risk, investment decision: four distinct concepts, and most diagnostics stop at the first one.

·        The address you provide does not guarantee an accurate result: behind it, there may be a grid scale of 8 to 150 km. Many tools also use CMIP5 generation models. The most concerning issue is not their age, but not knowing which ones are being used.

·        Two sites with the same score do not face the same risk. As long as the tool ignores the building, its equipment, its protections, and its role in business operations, it measures exposure, not risk.

·        A score of 85/100 does not tell you how much you risk losing. To make decisions, you need figures in euros: Expected Annual Loss (EAL), Probable Maximum Loss (PML), cost of inaction.

·        A list of solutions is not a roadmap. A measure is justified by the losses it avoids, compared to its cost (CAPEX and OPEX). And the most exposed site is not necessarily the first one where you should invest.

·        Assumptions, costs, and risks change: a "no" to an investment, justified yesterday, may no longer be justified today. You must be able to reassess everything and track results from end to end.

The question to ask any tool: what does it measure, what does it not measure, and what decisions does it really enable you to make?

////////////

Free or subsidized climate diagnostics aimed at businesses are on the rise. With just a few clicks, a company can now discover that its facilities are exposed to heat, flooding, or drought. This is good news: adaptation to climate change requires reliable tools to guide the roughly €70 billion of investments per year in the European Union through 2050 (https://cyprus.representation.ec.europa.eu/news/commission-presents-climate-resilience-framework-better-prepared-and-protected-europe-2026-10-27_en).

However, behind this proliferation of initiatives, the promises sometimes far exceed the actual capabilities of the tools offered: understanding your climate risks, identifying priority sites, selecting adaptation solutions, building your roadmap… The boundaries between exposure, vulnerability, risk, and investment decisions are becoming remarkably blurred.

Yet, an exposure map is not a risk assessment. A risk assessment is not an investment program. And a list of adaptation solutions is not an economically justified roadmap.

So, how do you navigate this landscape? What do these tools actually measure? What data and assumptions underpin their results? Do they take into account the specific vulnerability of each facility? Do they allow you to quantify the financial consequences of climate risks, evaluate the return on investment of adaptation measures, and prioritize investments?

Before devoting time, resources, and sometimes substantial budgets, here are the essential questions to ask in order to choose the right tool, understand its limitations, and, above all, avoid confusing a climate diagnostic with a genuine adaptation investment strategy.

1. You are consulting a climate diagnostic in 2026. But how old are its projections really?

This is probably the first question to ask, and one of the least obvious for a non-specialist user.

A tool can have a modern interface, offer interactive maps, and display projections out to 2050 or 2100, while relying on relatively old generations of climate models.

Many tools still use projections from CMIP5, generally associated with RCP scenarios. Historical simulations for this generation end in 2005, compared to 2014 for CMIP6, generally associated with SSP scenarios. The data used by these tools does not necessarily stop in 2005 or 2014 (for more details, see our article: https://www.tardigrade-ai.com/blog/rcp-vs-ssp-differences-scenarios-giec). Some providers with significant computing capabilities may have updated projections using more recent observations. That is far from the rule. The problem is therefore not so much using obsolete scenarios like RCPs rather than SSPs. It is not knowing precisely what is being used.

The models, selected scenarios, baseline periods, observations used for corrections, and update dates must be documented. You also need to know whether the results are based on a single model or an ensemble of models, and how uncertainties are factored in. This is because two projections can lead to significantly different results, particularly for certain extreme events.

The test to run: ask which generation of climate models is being used, when the data was last updated, and how the results were validated. If this information is not accessible, exercise caution before using the diagnostic to justify a long-term investment.

2. You enter a GPS address. But what is the actual accuracy of the result?

The apparent precision of the results can be misleading.

You enter your company's address. The tool precisely locates your facility on a map and assigns you an exposure score for extreme rainfall or flooding.

Everything appears perfectly localized.

Yet behind this address may lie climate data calculated on a grid of 8 km, 25 km, or even 100 to 150 km.

Take two businesses located on the same street. The first is at the top of a hill. The second is a few hundred meters downhill. If the tool only uses precipitation projections from an overly broad grid, it will assign them the exact same level of exposure to heavy rainfall. However, you know that the potential consequences of a rain event will not be the same, yet you will have the same score as your neighbor.

A precise address does not guarantee a precise result. And a detailed map does not guarantee a local risk assessment.

The test to run: enter two addresses that are close to each other but located in very different topographic settings, for example at the top and bottom of a hill. Compare the results and ask the provider about the data resolution and the models used to account for local specificities. The key is not only to understand what the score measures, but to verify that it genuinely reflects the differences in exposure and risk between the two facilities.

3. Two facilities have the same climate score. But do they really face the same risk?

Now imagine two neighboring warehouses, exposed to the same storm.

The first has a recent roof, protected equipment, and a business continuity plan. The second is older, has structural weaknesses, and houses sensitive goods. The climate hazard is identical. The potential consequences are not. This is the famous analogy of the big bad wolf (the wind) and the three little pigs (houses of straw, wood, or brick).

That is the whole difference between exposure and vulnerability.

Exposure indicates that an asset is located in an area likely to be affected by a climate phenomenon. This is the information that most diagnostics provide more or less accurately. Vulnerability describes its sensitivity to that phenomenon and its ability to mitigate the consequences. However, to measure this vulnerability, one must have precise information about the facility. What is its function? What is its value? What equipment does it house? What protections are already in place? What share of operations would be disrupted in the event of an incident?

Some tools can incorporate questionnaires to characterize these vulnerabilities. Others use generic assumptions based on building type or industry sector. These approaches may be relevant for an initial diagnostic, but their level of customization must be made explicit.

Furthermore, vulnerability does not end at the facility's walls. A warehouse or supplier can suffer damage and cause major losses for a site that appeared neither exposed nor vulnerable. These operational dependencies mean that a seemingly secondary site is in fact a critical asset for the business.

The test to run: first check whether the tool truly considers your facility's vulnerability: building characteristics, equipment, existing protections, and the nature and criticality of the activity. Is this information collected and factored into the calculations? Does modifying it alter the results? If the tool knows nothing about your facility, it cannot claim to measure its risk, and all you have is an exposure diagnostic.

4. Your facility shows a risk of 85/100. But how much do you risk losing?

This is where things become particularly crucial for taking action.

A tool assigns your facility a high risk score, say 85/100. Or simply a color: orange, for instance. But what do this number or this color really mean? Do they measure exposure, vulnerability, or risk? Do they allow you to compare facilities with one another? And against what criteria?

A risk score is not a measure of financial loss. And it does not necessarily tell you what to do. It is somewhat like a medical diagnosis turning orange: without knowing the symptoms, their severity, and their possible consequences, it is difficult to know whether medical treatment is sufficient or if urgent surgery is required.

To make an economic decision, you must be able to answer an essential question: how much can a climate event actually cost the company? Damage to buildings, equipment, and inventory, operational cost overruns, business interruption, loss of revenue or margin… With what frequency, what intensity, and what probability?

This information allows you to assess whether the potential losses are manageable or whether protective measures must be considered. Two indicators are especially useful:

·        PML (Probable Maximum Loss) estimates the potential loss associated with a severe event, for a defined probability level or return period, taking into account the facility's exposure and vulnerability.

·        EAL (Expected Annual Loss) measures the annualized average cost of losses, incorporating their probabilities of occurrence and financial consequences, including business interruptions where relevant.

These indicators answer two different questions: how much does the risk cost on average, and how much could a particularly severe event cost?

It is also absolutely essential to incorporate the future evolution of risks. We do not invest to protect against yesterday's climate, but against the one we will be exposed to tomorrow. The cost of inaction then corresponds to the present value of expected future losses if no additional adaptation measures are undertaken, based on the chosen assumptions.

At the portfolio level, the analysis must also take into account dependencies between facilities and correlations between climate events. Expected annual losses can be added together, but the extreme losses of a portfolio do not simply correspond to the sum of the PMLs of each site.

The test to run: ask the tool to translate its score into financial losses. How many euros per year on average? How much during an extreme event? How much over the next twenty years? If it cannot, its result remains a diagnostic indicator, not a financial risk assessment.

5. The tool recommends adaptation solutions. But do you actually need them?

Your facility is located in a flood zone. The diagnostic identifies high exposure and recommends installing flood barriers, raising electrical equipment, or relocating sensitive inventory.

However, if your building is already built on stilts, above anticipated water levels, and its sensitive equipment is out of reach, what is the point of investing in additional protections if the risk of damage is very low?

That is the whole difference between being exposed to a climate hazard and being genuinely vulnerable to its consequences. An adaptation measure only makes sense if it addresses an actual vulnerability and helps reduce a risk that warrants it.

You still have to choose the right measure. A flood barrier can effectively protect a building up to a certain water height, but become insufficient beyond that. Its effectiveness also depends on access routes, utilities, water entry points, and deployment conditions. Similarly, elevating equipment can reduce physical damage without necessarily preventing business interruption. To evaluate an adaptation measure, you therefore need to know its upfront cost (CAPEX), its recurring costs (OPEX), its lifespan, its technical constraints, and, above all, the losses it actually prevents.

It is also necessary to compare multiple solutions, some complementary, others alternatives. The measure that protects best is not necessarily the one with the best cost-benefit ratio. Conversely, an inexpensive measure may be insufficient against a major risk. And certain decisions cannot be reduced to return on investment alone: personal safety, regulatory requirements, or the continuity of a critical activity may dictate minimum protection standards.

The test to run: ask the tool whether it accounts for protections already in place and whether it can demonstrate the necessity of each recommended measure. How much does it cost? What losses does it prevent? What risk remains after its implementation? A list of adaptation solutions, even if relevant in theory, does not constitute an investment roadmap.

6. Is your most exposed site really the one where you should invest first?

This is an essential question for a company with dozens, hundreds, or even thousands of facilities.

Should you start with the most exposed sites? Those likely to suffer the largest financial losses? Those for which adaptation measures are the least expensive or the most effective?

These are not necessarily the same.

A highly exposed site may have low vulnerability and require no additional investment. Conversely, a less exposed facility may present considerable financial risks, particularly if it plays a critical role in company operations. And even when an investment is justified, you still need to determine whether it represents the best use of available resources. For the same budget, certain measures will prevent far more losses than others.

Prioritizing sites by their exposure or risk score is not the same as prioritizing investments.

A genuine roadmap must allow you to compare adaptation measures across the entire portfolio, taking into account their costs (CAPEX and OPEX), their effectiveness, the avoided losses, their contribution to extreme risk reduction, and budgetary constraints.

It must also take into account the interdependencies between facilities, complementary or incompatible measures, technical prerequisites, and the future evolution of risks. The goal is not simply to draw up a list of sites to address, but to determine where to invest, in which measures, for what amounts, in what order, and with what level of residual risk.

The test to run: ask the tool whether it can build an adaptation program across your portfolio, under a given budget constraint. Can it compare possible investments and select those that most effectively reduce expected losses or extreme risks? If the answer is limited to a ranking of facilities, you have a diagnostic prioritization tool, not a capital allocation tool.

7. And if assumptions change, does your decision still hold?

One final test, just as essential: the robustness of the analyses and their updating over time.

A climate diagnostic is based on models, scenarios, and assumptions. Yet none of these elements is set in stone. Climate projections are reassessed as new observations become available and models improve. Just as in finance, where market expectations and forward curves evolve with new information, a climate risk assessment is never set in stone.

Asset values change, construction costs fluctuate, and the profitability of adaptation measures can be re-evaluated. An acceleration of climate risks can, for example, make an investment profitable today that was not profitable yesterday, by increasing the future losses it would prevent. The decision not to invest, fully justified yesterday, may therefore no longer be justified today.

You must therefore be able to test the sensitivity of results, compare multiple scenarios, and understand the assumptions driving recommendations. Analyses must also be updated whenever the company acquires a facility, renovates a building, alters its logistics organization, or implements new protections.

Finally, when it comes to deploying capital, results must be traceable from end to end: climate sources, model versions, vulnerability assumptions, economic values, calculation methods, robustness testing, and auditability.

The test to run: ask whether the tool allows you to regularly update financial risks, the cost of inaction, and the return on investment of adaptation measures, and then revise investment priorities accordingly. An adaptation decision is not made once and for all. It must be capable of being reassessed as risks and economic conditions evolve.

From climate diagnostic to investment decision

The proliferation of climate diagnostic tools is good news. It helps raise business awareness and makes climate information more accessible. Yet one still needs to know what each tool actually measures, what it does not measure, and, above all, what decisions can reasonably be made based on its results.

This is because needs differ depending on the decisions to be made:

·        To know where to look, an exposure tool may suffice.

·        To know what is truly at risk, you need to assess the vulnerability of assets and operations.

·        To know what inaction costs, you need to quantify the financial consequences of climate risks.

·        To know where, when, and how much to invest, you need to evaluate, compare, and prioritize adaptation measures based on their costs, their effectiveness, and the losses they prevent across the company.

A tool does not need to do everything. But it must clearly state what it does, what it does not do, and what decisions it genuinely enables you to make.

The challenge for businesses is therefore not to acquire yet another diagnostic, but to choose tools suited to their needs and responsibilities. Because the true goal of adaptation is not merely to understand your climate risks. It is to know how to reduce them, at what cost, and with what results.

SIDEBAR: Seven tests to choose the right climate tool

Before committing time, resources, or capital, ask these seven questions.