Q: What tips would you give to organizations balancing the profitability opportunities in payments and digital assets with the heightened operational, regulatory, and financial risks they introduce?

Stop treating payments and digital assets as innovation experiments and start treating them as balance-sheet businesses.

Every new rail, wallet, or tokenized capability affects liquidity timing, capital allocation, funding strategy, operational resilience, and regulatory exposure. These have to be modeled upfront, otherwise profitability will be illusory.

Organizations should do the following:

• Anchor strategy in liquidity and capital implications before launching product.

• Distinguish speculative exposure (e.g., asset price volatility) from infrastructure exposure (settlement, custody, prefunding, fraud).

• Explicitly price operational and irreversibility risk in instant and blockchain-based environments.

• Build supervisory transparency and reporting into architecture from the start.

Q: How can firms implement governance and risk frameworks that enable innovation without constraining speed to market?

Speed slows down when governance is layered on after launch. It accelerates when risk architecture is embedded in product design.

The following three approaches can help:

• Cross-functional design authority. Risk, treasury, compliance, and technology should be involved at ideation.

• Modular control libraries. Develop reusable frameworks for wallet risk, custody, smart contract governance, and liquidity thresholds instead of reinventing controls for each initiative.

• Tiered risk parameters. Scale controls based on transaction size, customer segment, and product complexity.

Governance should function as a guardrail system while enabling innovation within defined boundaries, rather than acting as a brake.

Q: How do you assess whether investments in payments infrastructure or digital asset capabilities are delivering sustainable value rather than short-term revenue gains?

Revenue growth alone is not a sufficient measure. If the investment strengthens operating leverage and improves margin durability, it’s sustainable. If it only drives transaction volume, not so much.

Here are five indicators of durable value:

• Improved liquidity efficiency and reduced prefunding.

• Lower cost-to-serve through automation and reconciliation compression.

• Enhanced enterprise-wide risk insight from payments and blockchain data.

• Stable capital and regulatory treatment.

• Increased client stickiness through workflow integration.

Q: In your experience, where have firms most underestimated risk when scaling payments or digital asset offerings?

I usually see a few blind spots:

• 24/7 liquidity risk. Instant and tokenized environments require continuous funding discipline.

• Operational interdependency. Hidden third-party and cloud dependencies.

• Fraud velocity. Instant settlement compresses recovery windows.

• Regulatory interpretation risk. Guidance is not the same as durable rulemaking.

Q: Looking ahead, how do you expect the risk-return profile of payments and digital assets to evolve as regulatory clarity and institutional adoption increase?

As clarity improves and adoption broadens, the profile will normalize. Market volatility risk will decline, operational resilience and liquidity discipline will become dominant, and margins will shift from transaction fees toward infrastructure efficiency and data leverage.

Digital assets and instant rails will increasingly resemble core financial infrastructure: lower extraordinary returns, higher expectations of stability, governance, and transparency. The competitive advantage then shifts from experimentation to integration.

Q: What advice would you give to organizations preparing their risk, finance, and technology functions for these developments?

This is really an operating model transformation, not just a product enhancement. A few points to consider:

• Risk functions must integrate on-chain and off-chain monitoring and build real-time exposure visibility.

• Treasury and finance teams need upgraded intraday liquidity forecasting and reserve modelling for tokenized or 24/7 environments.

• Technology organizations must prioritize interoperability, cyber resilience, and dependency mapping across legacy and distributed systems.

Most importantly, firms should align payments and digital asset initiatives directly with funding, capital, and profitability strategy.