Read our manifesto on why adaptation needs better decision logic — and what we are building at Resilens
Read our manifesto on why adaptation needs better decision logic — and what we are building at Resilens
Read our manifesto on why adaptation needs better decision logic — and what we are building at Resilens

AdaptationReturn: The first decision metric for climate adaptation.

AdaptationReturn is a decision metric for comparing adaptation investments across sites and portfolios. It combines the complexity of climate risk with the multiple dividends of adaptation measures into one standardized 5-year ROI that public and private decision-makers can actually use.

AdaptationReturn: The first decision metric for climate adaptation.

AdaptationReturn is a decision metric for comparing adaptation investments across sites and portfolios. It combines the complexity of climate risk with the multiple dividends of adaptation measures into one standardized 5-year ROI that public and private decision-makers can actually use.

AdaptationReturn: The first decision metric for climate adaptation.

AdaptationReturn is a decision metric for comparing adaptation investments across sites and portfolios. It combines the complexity of climate risk with the multiple dividends of adaptation measures into one standardized 5-year ROI that public and private decision-makers can actually use.

WHY WE BUILT IT

Traditional cost-benefit analysis was never built for adaptation.

The European Union needs around €70 billion of adaptation investment every year to keep pace with worsening climate hazards. Today, it invests between €20 billion and €33 billion. Closing that gap depends on adaptation managers being able to justify the spend. But the cost-benefit tools they have inherited fall short for three specific reasons.

No standard for ex-ante ROI. You cannot compare what you cannot measure in advance. Historical weather data does not tell you what a measure is worth under a shifting climate.

Benefits are hard to disaggregate. After the fact, tracing avoided losses back to a specific action is difficult, and splitting the benefits between stakeholders is harder still.

Hard to monitor through space and time. Adaptation measures are local and long-lived. Conventional CBA was not built to track them across decades of shifting conditions.

AdaptationReturn closes all these gaps.

"Clear, credible ROI figures for each adaptation measure are essential for sound decision-making and for directing scarce resources where they will yield the greatest risk reduction and value for money."

IN NUMBERS

€822B

EU economic losses from weather and climate extremes, 1980 to 2024

€70B

Annual EU adaptation investment needed through 2050

€25B

Actually invested per year today

HOW IT WORKS

Inputs → Calculation → Output.

AdaptationReturn brings together climate hazard data, site-level exposure and vulnerability, measure performance, and cost structure into a single comparable score. Every input is versioned. Every assumption is documented.

INPUTS
Hazard, exposure, vulnerability, cost

Site-level climate hazard data, physical exposure of each asset, vulnerability characteristics, and the full-cycle cost of each adaptation measure under consideration. Data sources are versioned so any score can be reproduced later.

Calculation
Three dividends, net of cost

For each measure at each site, the platform calculates the financial losses avoided, the reductions in energy costs and emissions achieved, and the social and environmental spillovers delivered, and weighs the total against the measure's full cost over a five-year horizon. Maladaptation risks are identified and flagged.

OUTPUT
A single comparable number

One AdaptationReturn figure per measure, per site. Comparable across measures, across sites, across hazards, across geographies. The shared language of adaptation costs and benefits that standardization has been waiting for.

THE DIFFERENCE

The first ex-ante ROI metric for climate adaptation.

Ex-ante by design

The number is calculated before investment, not after. Decision-makers see the return on each measure while they still have the choice to make it, not as a post-mortem report once the money is spent.

Ex-ante by design

The number is calculated before investment, not after. Decision-makers see the return on each measure while they still have the choice to make it, not as a post-mortem report once the money is spent.

Standardized and flexible

The methodology is the same everywhere, so a shading intervention at a Kita and a flood defence at a water utility are scored on the same basis. But inputs, weightings, and priorities adapt to local variables and what matters most to the decision-maker. Standardized enough to compare. Flexible enough to reflect reality.

Standardized and flexible

The methodology is the same everywhere, so a shading intervention at a Kita and a flood defence at a water utility are scored on the same basis. But inputs, weightings, and priorities adapt to local variables and what matters most to the decision-maker. Standardized enough to compare. Flexible enough to reflect reality.

Transparent

Every assumption is documented. Every data source is versioned. The methodology is glass-box by design, not black-box. When a grant officer, auditor, or council member asks how a number was produced, there is an answer on the record.

Transparent

Every assumption is documented. Every data source is versioned. The methodology is glass-box by design, not black-box. When a grant officer, auditor, or council member asks how a number was produced, there is an answer on the record.

Owned by the decision-maker

AdaptationReturn puts decision logic back in the hands of the people responsible for the decision. No outsourced consultancy study, no opaque vendor model. Adaptation managers own the inputs, the assumptions, and the output.

Owned by the decision-maker

AdaptationReturn puts decision logic back in the hands of the people responsible for the decision. No outsourced consultancy study, no opaque vendor model. Adaptation managers own the inputs, the assumptions, and the output.

METHODOLOGY

Designed to hold up.

AdaptationReturn was designed from first principles to hold up to the scrutiny of grant officers, council auditors, funders, and research peers. Four principles make that possible.

01
Transparent methodology

The full methodology is documented and available for review. Any practitioner is invited to inspect, audit, or challenge the calculation. Resilens does not ask anyone to trust a black box.

02
Reproducible outputs

Given the same inputs, the same score is produced every time. Every version of the methodology and the underlying data is archived. A score produced today can be reproduced and verified years from now.

03
Site-level granularity

Scores are calculated at the individual site level, not averaged across portfolios. A school with a south-facing roof in an urban heat island gets a different score from one shaded by mature trees, because it should.

04
Standardized frameworks that adapt to on-ground data

Where data is limited, conservative assumptions are applied and flagged, not hidden. No AdaptationReturn score overstates the case. Decision-makers know where the evidence is strong and where uncertainty is larger.

Book a demo and explore a guided 30-day trial for your sites.

See what the adaptation decision engine can look like for you.

Book a demo and explore a guided 30-day trial for your sites.

See what the adaptation decision engine can look like for you.