This chapter proposes the Data-AI-Chain (DAC) system as a new conceptual framework for climate finance. Essentially, one role of the DAC framework would be to connect risk/opportunity spotting to Capital Allocation and Market Creation. To be able to effectively implement such a framework for climate change objectives to be met internationally would require financial assistance from across the global community. Methodologically, the study is an integrative conceptual review of three technology levels. The data tier reconciles remote sensing, IoT telemetry, geospatial hazards layers and supply-chain disclosures and ESG data to create asset-level exposure maps. The artificial intelligence (AI) layer harnesses machine learning and deep learning models for probabilistic forecasting, scenario analysis and alternative portfolio optimization under conditions of substantial uncertainty. The results are interpretable, ensuring model transparency. The blockchain tier enables the development of immutable and interoperable ledgers for carbon markets, sustainability-linked instruments, tokenized green and transition assets and parametric insurance. The chapter argues that DAC has the potential to lower the due diligence and verification costs, shorten payout and certification timeframes, boost investor participation and model transparency and reduce capital costs through responsible governance and legal enforceability.