This event focuses on the new narrative of Agentic Finance, featuring in-depth discussions on core topics such as the revaluation of crypto industry value driven by AI agents, the evolution of on-chain infrastructure, and real-world commercialization pathways.Author and source: SVP Chain
On June 26 in Singapore, the in-person roundtable forum "Agentic Finance Panel," hosted by SVP Chain, concluded successfully. The event focused on the new narrative of Agentic Finance, featuring in-depth discussions on the revaluation of value in the crypto industry driven by AI agents, the evolution of on-chain infrastructure, and practical pathways for real-world commercialization.
This roundtable was fully moderated by Celest, Head of Marketing at SVP Chain, and featured three key industry practitioners from Singapore’s AI sector: Alistair, Head of Growth at SVP Chain; Charlie, Co-founder of Coco AI; and Zane, Head of Business at Moss AI. The panelists shared insights from three distinct vertical perspectives: underlying blockchain infrastructure, enterprise-grade agent deployment, and AI-driven quantitative trading applications.
As large model technology enters its mature phase, industry consensus has undergone a fundamental shift: AI is no longer a conceptual buzzword, but is actively reshaping the foundational productivity of on-chain interactions, payment settlements, financial transactions, and business collaboration. This panel therefore focuses on the most critical industry question: In the era of Agentic Finance, where are the true value pillars of the industry? What distinguishes hype from real-world adoption? And how will a standardized, trustworthy, and interoperable agent ecosystem take shape?
As the representative of the AI Layer 1 blockchain, Alistair, Head of Growth at SVP Chain, first highlighted the industry’s most pressing pain point from the perspective of foundational infrastructure: the global AI agent ecosystem is highly fragmented. Currently, numerous AI agents operate independently without interconnectivity, on-chain smart contracts are scattered and disconnected, and there is no standardized payment and settlement system, preventing agents from autonomously collaborating, conducting automated transactions, or achieving closed-loop settlement. As a result, the entire Agent Economy is trapped in a state of “having tools but no ecosystem, having applications but no interoperability.”
Alistair stated that Singapore offers a world-class AI startup ecosystem, abundant computing resources, and a mature regulatory framework, making it the ideal environment for developing standardized AI financial infrastructure. The core mission of SVP Chain is to build a unified interoperability protocol for intelligent agents, connecting fragmented on-chain smart contracts and payment modules to create the world’s first public blockchain infrastructure optimized for A2A (Agent-to-Agent) autonomous transactions. In the future, large-scale competition in the AI agent economy will not be about model capabilities, but rather about the foundational infrastructure of on-chain standards, interoperable protocols, and trusted settlement systems.
Charlie, co-founder of Coco AI, analyzes the widespread issue of "overhyped implementation" from an enterprise adoption perspective. He points out that the vast majority of AI products currently on the market remain at the level of superficial conversations and auxiliary tools, unable to support real, complex enterprise business processes or achieve long-term user retention and commercial value.
In Charlie’s view, model capabilities are no longer scarce—it’s execution capability that is rare. The team remains committed to a steady, compliant approach, deeply focusing on enterprise automation scenarios to build enterprise-grade AI solutions that are controllable, auditable, and suitable for long-term commercial use. He emphasized that Agentic Finance’s long-term foundation lies not in short-term, high-volatility returns, but in the sustained deployment and value creation within real enterprise environments.
Zane, Head of Business at Moss AI, focused on C-end financial inclusion scenarios and shared the immense opportunities for AI-driven trading to become mainstream. He noted that traditional quantitative trading has extremely high barriers, relying on coding skills, strategy expertise, and risk management systems, leaving retail investors long-term challenges such as emotional trading, delayed execution, disorganized strategies, and uncontrollable profits and losses. AI agents are fundamentally rewriting the rules of the trading industry.
Leveraging the Moss AI no-code AI trading platform, users can quickly generate a full range of trading agents—such as dollar-cost averaging, hedging, grid, and arbitrage—using only natural language. Combined with historical data backtesting, automated strategy optimization, and 24/7 fully autonomous execution, this significantly lowers the barrier to using professional financial tools. Zane believes that AI trading is not merely an upgrade for niche tools, but a revolution in mass trading productivity. In Singapore’s open and mature financial environment, AI-driven automated trading will rapidly gain widespread adoption, becoming the most direct and largest-scale implementation of Agentic Finance.
At the roundtable’s consensus segment, the three panelists unanimously agreed that Trust, Verification, and Interoperability will be the three foundational pillars for the large-scale adoption of AI agent financial ecosystems in the future.
In the age of AI finance, trust is no longer based on platform endorsement, but on a technical system that ensures on-chain traceability, verifiable strategies, and auditable behavior; value is no longer driven by narrative hype, but by sustained cash flows generated through real automated trading, improved corporate efficiency, and interconnected ecosystem collaboration.
