Finance
Solving the Adaptation Finance Gap: Plans are in Place, but Funding Falls Short – Climate 411
The UN climate talks, COP29, is well underway, and countries have entered final negotiations on the New Collective Quantified Goal (NCQG), a new climate finance goal to boost funding for climate action in developing countries. Reaching agreement on the goal may be difficult in the face of the U.S election results, but it remains an urgent priority.
One glaring finance gap that we need to address in the new goal is finance for climate adaptation. Adaptation is how governments and communities prepare for and adjust to the impacts of climate change. It’s about making changes to reduce or prevent the harm caused by climate impacts like rising sea levels, more frequent storms, and hotter temperatures.
According to a new report from the United Nations Environment Programme (UNEP), adaptation needs are not being met worldwide. Developing countries will need $215 billion per year over the next decade for their adaptation priorities, from building climate resilient infrastructure to restoring ecosystems. Yet international finance flows for adaptation were just $28 billion in 2022 – an increase over prior years, but nowhere near enough.
Transformational adaptation requires closing the finance gap and maximizing the impact of every dollar.
Where is the world falling behind on adaptation?
Many developing countries are particularly vulnerable to climate change impacts, and the good news is that they are prioritizing efforts to build resilience. UNEP’s Adaptation Gap Report found that 87% of countries have at least one national adaptation planning instrument in place, compared to around just 50% a decade ago. These instruments include National Adaptation Plans (NAPs) and other strategies or policies that guide adaptation.
Now time for the bad news: although planning has improved, there is a growing gap in implementation as countries lack the necessary finance to meet their objectives. Adaptation has consistently been underfunded compared to mitigation, and while developed countries are working to double adaptation finance, the current $28 billion in annual flows represents just 13% of the $215 billion needed annually.
[Source: UNEP Adaptation Gap Report 2024]
The lack of finance for adaptation has serious implications for many developing countries, especially small island states which urgently need international support to strengthen resilience. For example, the Caribbean nation of Dominica is installing early warning systems to improve preparedness and reduce the impact of future hurricanes, but by 2023 they had only installed three systems and need 50 more to adequately cover the island. Without sufficient adaptation finance, the country will remain highly exposed to sudden climate shocks.
This finance gap is further complicated by limited private sector engagement in adaptation. UNEP finds that many transformational adaptation projects are seen as risky by private investors, due to their longer time frame for benefits and less clear return on investment. Private finance does flow to projects in infrastructure and commercial agriculture, but often not without efforts by the public sector to de-risk investments.
It is not surprising that two-thirds of adaptation financing needs are anticipated to be financed by the public sector. But the quality of public finance for adaptation has room for improvement as well. 62% of public finance for adaptation is delivered through loans, of which 25% are non-concessional, or at market rate with no favorable terms. And the use of non-concessional loans for adaptation in most vulnerable countries has actually increased in recent years. These tools have the potential to drive up the debt burden in developing nations which are already struggling to pay the bills. Expanding grant and concessional finance will be important to mitigate these challenges.
How do we unlock quality adaptation finance?
The Adaptation Gap Report suggests that filling the finance gap will require several enabling factors that can unlock new finance flows. Notably, in EDF’s new report ‘Quality Matters: Strengthening Climate Finance to Drive Climate Action,’ we identify similar strategies as we call for structural reforms within the international climate finance system. Three key recommendations overlap in both reports.
First, countries need to mainstream their climate objectives and adaptation goals within national planning and budgeting processes. This integration should be paired with robust stakeholder engagement that systematically includes subnational authorities, marginalized groups and potential implementing entities in the planning process. Doing so will better align adaptation activities with other national priorities and create more fundable projects. Moreover, planning processes should emphasize project evaluation and evidence gathering to better understand what interventions are most impactful and maximize the potential of climate resources.
Second, countries should adopt investment planning approaches to climate action. Specifically, they should work to develop a pipeline of bankable projects that can meet the objectives within their NAPs and other planning instruments. This can help attract investors to projects and ensure successful implementation of adaptation plans.
Third, multilateral financial institutions including multilateral development banks (MDBs) and climate funds need to undergo structural reform to improve the quality of finance. The MDBs are currently pursuing reforms to become better fit-for-purpose for addressing the climate crisis, and at COP29 they jointly announced that their collective climate finance will reach $120 billion by 2030 – though only $42 billion will be dedicated for adaptation. Improving the balance between mitigation and adaptation finance will be important to ensure that developing countries’ priorities don’t go unfunded. Additional actions these institutions can take include strengthening the concessionality of terms for adaptation projects to alleviate debt burdens and spark new blended finance opportunities, and leveraging innovative instruments like adaptation swaps which can foster positive adaptation outcomes in exchange for forgiving debt.
The NCQG is an important milestone which has the potential to advance action on these reforms and strengthen adaptation finance flows. Alongside supporting a strong quantitative goal, countries should call for improvements in the quality of finance, to ensure that finance for adaptation projects is available, accessible, concessional, and impactful.
For a company navigating one of the most consequential transformations in its history, financial clarity is not optional—it is essential. Natura &Co, the Brazilian personal care and cosmetics group behind iconic brands such as Natura and Avon, has long been committed to combining purpose-driven business with commercial performance. After a period of strategic portfolio reshaping, including the divestiture of its Aesop and The Body Shop holdings, the company is now sharpening its focus on profitability and operational excellence across Latin America and global markets.
At the center of that effort sits a deceptively complex challenge: understanding, in real time, which revenue and cost factors are driving or eroding gross margin across a highly diversified business. For years, answering that question meant manual reporting, delayed insights, and finance teams spending valuable time on data gathering rather than analysis.
That’s now changing, thanks to a co-innovation initiative developed together with SAP and Numen, a global SAP partner specializing in digital transformation and enterprise software implementation.
From manual reporting to proactive decision intelligence
The project’s goal was to replace a labor-intensive gross margin analysis process with a generative AI application embedded directly into Natura &Co’s financial workflows. Built on SAP Business AI Platform, SAP’s unified foundation integrating business technology, data, and AI capabilities, the application connects directly to data in SAP S/4HANA to provide finance teams with automated insights and narrative recommendations in real time, without the need for manual data pulls or offline reporting.
The application enables users to explore revenue, cost, and margin drivers interactively, identifying at a glance which elements are protecting or eroding margin performance across markets and product lines. Crucially, human oversight remains central to the design: the AI application generates insights, while finance professionals retain full control over interpretation and decisions.
“The implementation of gross margin analysis using AI in SAP S/4HANA marked an inflection point in the analytical capability of our finance area,” said Rogério Dias Garcia, tech manager, ERP Latam, Natura &Co. “We overcame delays and raised the standard of insights by integrating margin analysis from SAP S/4HANA with a large language model connected via the SAP AI Core layer. This architecture allowed us to provide, in an agile, secure, and completely anonymous manner, a stratified and precise view of gross margin offenders and protectors—discriminating exactly which revenue or cost elements were driving market performance.”
A collaborative architecture for scalable AI adoption
Natura &Co’s application derived from a prototype SAP partner Numen created in early 2024 at SAP’s global Hack2Build on business AI, leveraging the generative AI capabilities of SAP Business AI Platform. The solution was designed and developed through close collaboration between Natura &Co, Numen, and SAP. From the outset, the approach was to align AI adoption with concrete business priorities, ensuring the application would be scalable and production-ready rather than a standalone prototype.
Numen brought deep SAP implementation expertise to the project, combining knowledge of SAP S/4HANA architecture with hands-on experience in building solutions on SAP Business AI Platform. The technology stack—SAP S/4HANA, SAP AI Core, SAP Fiori, and SAP Business Technology Platform—provided the secure, integrated foundation needed to connect financial data with generative AI capabilities in an enterprise context.
“SAP enabled the transformation by providing the technological foundation and expert support,” said Carlos Aravechia, head of Data Design & Intelligence at Numen.
The success of the project has validated a broader conviction at Natura &Co: that generative AI, embedded directly in ERP workflows, can fundamentally reposition finance from a transactional function to a strategic business partner.
A blueprint for other businesses
The Natura &Co project demonstrates a pattern that other organizations can replicate, particularly those running SAP S/4HANA. The combination of structured ERP data with the contextual reasoning capabilities of large language models creates a foundation for decision intelligence that goes well beyond traditional business intelligence tools.
The project was built within a six-month co-innovation sprint and went live in August 2025. It is currently in use across Natura &Co’s Equador operations.
Looking ahead, Natura &Co is already planning the next phase: integrating Joule Agents to further automate the extraction of standard analytical content and deepen the AI-driven optimization of financial processes.
“The success of this initiative validates the transformative potential of embedded AI within our ERP,” Dias Garcia noted. “We are now ready to move forward—deepening these insights and integrating the capability of Joule Agents to maximize the extraction of standard content and further optimize our business decisions.”
For SAP customers evaluating how to move from AI experimentation to AI in production, the Natura &Co project offers a concrete, replicable model: start with a high-value, well-defined business process, embed AI directly into existing workflows, and build in human oversight from the start.
A girl from a disadvantaged rural family in central China topped this year’s gaokao, attracting numerous live-streamers eager to finance her education, which she declined.
The home of 18-year-old secondary school graduate Han Yaping in a Henan province village was recently bustling with live-streamers.
This attention came after Han achieved an impressive score of 699 out of 750 in the gaokao, China’s national college entrance exam.
She has received offers from China’s two leading universities, Tsinghua University and Peking University.
Han’s accomplishment is particularly remarkable given her family’s impoverished circumstances.
Her mother suffers from ankylosing spondylitis, an inflammatory arthritis affecting the spine, preventing her from working. Her father, who earns a living through farming and odd jobs, serves as the family’s sole provider. Han also has a younger sister.
The UK’s Financial Conduct Authority (FCA) published a landmark review on Monday that proposes recommendations to regulate the impact of artificial intelligence (AI) on the financial decisions made by consumers.
The review, titled the Mills Review, anticipates that both consumers and firms will start delegating “more financial decision-making to AI systems,” including for agreements, initiating transactions, and executing decisions “within agreed parameters.” One of the key findings of the review outlined that while AI can help bridge advice gaps and “support growth,” there remain risks “associated with fraud, cyber security, and consumer harm.” Conducting the review, Sheldon Mills highlighted that “AI can also amplify risks: bias, discrimination, exclusion, opaque decision-making (particularly when multiple AI models interact), misleading or hallucinatory advice and erosion of consumer trust.”
The review stated that presently, one in five adults in the UK are “already open to AI making decisions for them,” particularly when decisions feel “complex or high stakes.” It found that roughly 26 percent of the population “trust general-purpose tools such as ChatGPT, Claude or Gemini for financial advice” with little awareness that such platforms provide no “formal routes to recourse” or protections.
Overall, the Mills Review identified four areas that it anticipates will be impacted by AI in the financial sector: “the transformation of firms,” “new consumer journeys,” “a reshaped competition landscape,” and “amplified financial crime and cyber risk.” The FCA projected the shift in how consumers and firms consult AI to take place by 2030.
The Mills Review put forth seven “priority” recommendations to be considered by the FCA Board. It recommended that any transitions to autonomous AI models be monitored and that regulatory frameworks and perimeters be adapted and secured. The review called for the strengthening of “system-wide coordination and oversight,” the scaling up of the FCA’s AI Lab to enable it to support AI models and innovation for agentic finance, and an “AI-enabled agentic supervisory model” to be built and adopted. Finally, it recommended that a trusted “public-interest AI-enabled financial capability service” be developed.
The FCA announced, in the press release, that it will launch an AI “good and poor practice publication” in late 2026.
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