How AI Can Unlock Investment in Climate Solutions
Sustainability teams know the frustration well. You have a credible climate project, evidence of environmental benefit, and a clear connection to company targets. Then you submit it for funding and watch it lose out to initiatives that promise faster returns or simpler metrics.
The problem is not usually lack of ambition. Most businesses have set net zero commitments, joined Science Based Targets initiatives, or made public pledges on emissions reduction. However, turning those commitments into funded activity requires something different. Finance directors want to see commercial logic, not just carbon savings.
A recent webinar hosted by edie examines how businesses can close that gap. Titled "How AI can unlock investment in climate solutions," the session explores how artificial intelligence, market data, and professional judgement can help companies identify credible opportunities, compare risks and returns, and build internal cases that stand up to scrutiny.
The webinar was broadcast as a 45-minute masterclass on 27 October 2026, followed by a 15-minute audience question session. It is now available to watch on demand through edie. Matthew Hempstead, Group Intelligence Editor at edie, chairs the discussion. Presenters include Shane Fagan, Climate Strategist at Patch, and Inder Poonaji, Director of ESG and Sustainability at Modulaire Group.
Why climate projects struggle to secure internal capital
Climate initiatives often involve longer payback periods than traditional capital projects. Consequently, they compete for funding against proposals that offer more immediate financial returns. That creates a structural disadvantage, particularly when economic conditions tighten and investment committees become more conservative.
Emerging markets add further complexity. Renewable fuels, carbon removals, lower-carbon materials, and other climate technologies are expanding rapidly. Yet these sectors remain difficult to assess using conventional investment criteria. Supply chains are less mature, regulatory frameworks continue to evolve, and performance data is often incomplete.
For businesses trying to evaluate these opportunities, the challenge is distinguishing credible projects from speculative ones. A proposal might promise significant emissions reductions, but without clear evidence of market demand, financial viability, and implementation risk, it is unlikely to win approval from finance teams.
As a result, sustainability teams must address more than environmental impact. Decision-makers also need answers on cost, scalability, policy exposure, counterparty risk, and expected return. That requires better data, clearer comparisons, and stronger evidence.
Using artificial intelligence to assess climate opportunities
AI can process large volumes of information more quickly than manual analysis. In a climate finance context, that includes market trends, technology performance, project documentation, policy developments, emissions data, and supplier information. Used appropriately, this capability could help companies identify relevant opportunities more efficiently and compare options across different environmental markets.
Specifically, AI-supported analysis may enable businesses to detect inconsistencies in project information, monitor changing market conditions, quantify potential environmental and commercial outcomes, and produce clearer evidence for investment committees. These applications do not eliminate uncertainty, but they can reduce the time needed to gather and interpret data.
The webinar emphasises that AI should not replace professional judgement. Instead, the focus is on combining automated analysis with human expertise, governance, and due diligence. That distinction matters because climate investment decisions often depend on assumptions that automated systems cannot reliably validate.
For example, assessing the durability of carbon removals, the additionality of emissions reductions, or the financial strength of project developers requires sector knowledge and critical judgement. AI can organise information and highlight patterns, but it cannot determine whether a project is genuinely credible or merely well documented.
Moreover, AI systems can reproduce incomplete, biased, or misleading inputs. A technically sophisticated analysis can still produce a weak conclusion if the underlying project information is unreliable. Therefore, human review and independent verification remain essential safeguards.
Building an investment case that finance teams will support
The central challenge is translating a climate objective into a proposal that can compete for funding. A strong investment case generally needs to connect four elements: the climate rationale, the commercial opportunity, the risk profile, and the measurement framework.
The climate rationale explains the emissions, resilience, or environmental problem being addressed. This section should be specific. For instance, reducing Scope 3 emissions in a particular supply chain, replacing fossil fuel use in logistics, or improving energy efficiency in manufacturing sites.
The commercial opportunity describes the market demand, revenue potential, or cost savings associated with the solution. This is where many climate proposals falter. Environmental benefits alone do not secure funding. Finance teams need to see how the project generates value, whether through reduced operating costs, access to new markets, improved tender competitiveness, or reduced regulatory risk.
The risk profile covers technology, policy, delivery, reputational, and financial risks. Climate projects often involve newer technologies, evolving regulations, and less established supply chains. Consequently, a credible proposal must acknowledge these risks and explain how they will be managed.
Finally, the measurement framework sets out how progress and impact will be verified over time. This includes the data sources, reporting standards, and governance processes that will ensure accountability. For carbon-related projects, this might involve third-party verification, alignment with recognised standards such as ISO 14064, or integration with existing carbon accounting systems.
AI-supported analysis can help organise this evidence and make comparisons between different projects. Nevertheless, it cannot eliminate the need for transparent assumptions, independent verification where appropriate, and clear accountability for the final recommendation. Those elements remain the responsibility of the sustainability and finance teams making the case.
What businesses can expect from the webinar
The session covers three connected uses of technology and expertise. First, it examines how AI and market data can help businesses scan complex environmental markets and locate potentially credible investment opportunities. This includes identifying emerging technologies, assessing market maturity, and filtering out projects that lack commercial substance.
Second, it explores how data tools can support comparisons between environmental benefits, financial performance, and implementation risks across different projects. This is particularly valuable as markets for clean fuels, carbon removals, and lower-carbon materials become more varied and difficult to assess.
Third, the webinar discusses how better evidence can help sustainability teams present more persuasive business cases to finance leaders and senior decision-makers. This includes structuring proposals to address the questions that investment committees typically ask and using data to support assumptions that might otherwise be dismissed as speculative.
The discussion is free to access on demand through edie. It provides a practical framework for businesses looking to improve how they identify, evaluate, and secure funding for climate-related projects.
Commercial reality behind climate investment decisions
The webinar reflects a broader shift in corporate sustainability. Climate action is increasingly being evaluated through the same commercial disciplines applied to other forms of investment. Environmental ambition alone may not secure funding. Companies must demonstrate why a project is credible, how it creates value, and how risks will be managed.
This shift has practical implications for sustainability teams. It means learning to communicate in the language of finance, structuring proposals to meet investment governance requirements, and building relationships with colleagues who control capital allocation. It also means accepting that not every environmentally beneficial project will be financially viable, at least not immediately.
For some businesses, this creates tension. Sustainability goals may require action in areas where the commercial case is not yet strong. In those situations, companies must decide whether to wait for market conditions to improve, seek external funding such as grants or green finance, or make strategic investments that prioritise long-term resilience over short-term returns.
AI could improve this process by reducing the time needed to gather and interpret information. It may also help sustainability teams communicate with finance departments using clearer evidence and comparable metrics. However, the main limitation is data quality. If the underlying project information is unreliable, even sophisticated analysis will not produce a sound investment case.
Businesses that combine data-driven analysis with sector expertise, transparent assumptions, and robust impact verification will be better positioned to identify projects that are both environmentally meaningful and financially defensible. Our net zero program helps companies navigate this process, providing support with carbon reporting, investment appraisal, and compliance with standards such as PPN 06/21.
Practical steps for sustainability and finance teams
- The webinar is available to watch on demand through edie, free of charge.
- It features a 45-minute masterclass followed by a 15-minute audience question session, originally broadcast on 27 October 2026.
- Presenters include Shane Fagan, Climate Strategist at Patch, and Inder Poonaji, Director of ESG and Sustainability at Modulaire Group.
- The session examines how AI, market intelligence, and expert judgement can help businesses identify credible climate investment opportunities.
- It also explores how to build internal financial support by improving the quality of evidence presented to decision-makers.
- The discussion emphasises combining automated analysis with human expertise, governance, and due diligence rather than relying on AI alone.
- Businesses should focus on connecting climate rationale, commercial opportunity, risk profile, and measurement frameworks when building investment cases.
How SBS supports climate investment and carbon reporting
At SBS, we regularly work with SMEs trying to turn sustainability commitments into funded projects. We understand the difficulty of presenting climate initiatives to finance teams, particularly when the project involves emerging technologies or less mature markets.
Our approach combines practical carbon accounting with commercial advice. We help businesses measure their current emissions accurately, identify reduction opportunities that make financial sense, and structure proposals that meet investment governance requirements. This includes support with Scope 3 supply chain emissions, which are often the most complex and difficult to quantify.
We also assist with compliance requirements such as carbon reporting for public sector contracts, where suppliers must demonstrate credible net zero plans to remain eligible for tender opportunities. This work often involves building the evidence base that procurement teams and investment committees need to see.
Training is another important part of this process. SBS Academy offers courses on carbon accounting, climate risk assessment, and sustainable procurement. These help teams develop the skills needed to evaluate climate projects, engage with finance colleagues, and make evidence-based recommendations.
The practical value of AI in climate finance will depend less on automation alone than on how effectively businesses integrate it into investment governance. Technology can improve discovery and comparison, but expert judgement remains essential for testing credibility and managing risk. Companies that combine both will be better positioned to secure funding for projects that deliver real environmental and commercial value.
Where to find further information
The webinar is available to watch on demand through edie, which provides free access to registered users. The session is part of edie's broader coverage of corporate sustainability, climate finance, and environmental technology.
For businesses looking to develop their understanding of climate investment frameworks, the UK government's net zero strategy provides policy context and outlines expected regulatory developments. The strategy sets out how the UK plans to meet its 2050 net zero target and includes detail on emerging markets such as hydrogen, carbon capture, and sustainable aviation fuels.
The Financial Conduct Authority's guidance on ESG and climate-related disclosures is also relevant for businesses assessing climate investment opportunities. It explains reporting requirements for listed companies and asset managers, which increasingly influence how corporate sustainability projects are evaluated.
Additionally, the Institute of Environmental Management and Assessment offers professional resources on environmental investment appraisal, impact measurement, and governance. These materials are useful for sustainability teams building business cases or seeking to improve their engagement with finance colleagues.