How might Thought Machine evolve its smart contract capabilities within the Vault system to enable more complex financial products?

Introduction

To evolve Thought Machine's smart contract capabilities within the Vault system for more complex financial products, we need to carefully analyze the current state, user needs, and potential improvements. I'll approach this by examining key stakeholders, identifying pain points, generating solutions, and proposing a roadmap for implementation.

Step 1

Clarifying Questions

• Looking at Thought Machine's position in the core banking platform market, I'm curious about the current adoption rate of smart contracts within Vault. Could you share some insights on what percentage of clients are actively using smart contracts, and for which types of financial products?

Why it matters: This helps us understand the current market penetration and identify growth opportunities. Expected answer: Perhaps 30-40% of clients use smart contracts, primarily for basic loan products and savings accounts. Impact on approach: Low adoption would suggest focusing on education and ease of use, while high adoption might indicate a need for more advanced features.

• Considering the evolving regulatory landscape in financial services, I'm wondering about the compliance challenges our clients face when implementing smart contracts. What are the most significant regulatory hurdles they encounter, and how does this vary across different markets?

Why it matters: Regulatory compliance is crucial in financial services and could be a major factor in smart contract adoption and complexity. Expected answer: Clients struggle with transparency requirements and cross-border regulations, especially in Europe and Asia. Impact on approach: This would inform whether we need to prioritize built-in compliance features or focus on flexibility for different regulatory environments.

• Given the rapid advancements in AI and machine learning, I'm curious about Thought Machine's current integration of these technologies within the smart contract system. To what extent are we leveraging AI for contract creation, optimization, or risk assessment?

Why it matters: AI integration could significantly enhance the capabilities and efficiency of smart contracts. Expected answer: Limited AI integration currently, mostly used for basic risk scoring. Impact on approach: This would guide whether we should focus on deepening AI integration as a key differentiator.

• Considering the diverse needs of financial institutions, I'm interested in understanding the customization capabilities of our current smart contract system. How flexible is the system in allowing clients to create bespoke financial products, and what are the main limitations they encounter?

Why it matters: This helps identify whether our focus should be on increasing flexibility or improving existing capabilities. Expected answer: The system allows for moderate customization, but clients struggle with complex, multi-party contracts. Impact on approach: High flexibility might suggest focusing on user interface and templates, while limited flexibility would prioritize expanding core capabilities.