Beyond Digital Banking
by: BTM - Thu, 05 Feb 2026
Waseem Mamlouk’s work across IT, finance and commercial law has placed him at the intersection of technology and risk. As banking evolves, he argues the real transformation lies in machines becoming economic actors.
The next financial system will not revolve around customers holding phones. It will be driven by software agents: autonomous systems that discover services, negotiate terms, procure resources and settle transactions continuously. These are not assistants or chatbots. They are actors operating at machine speed.
Today’s banking systems are built around human behaviour. Accounts, approvals, limits and reversals assume human intent, oversight and timescales. Extending those models to autonomous systems is not innovation. It is a governance failure. Granting an AI access to a human financial identity creates authority that cannot be meaningfully bound, audited or controlled.
Machine-native value changes that equation. Tokens and programmable settlement instruments allow authority, limits and conditions to be enforced cryptographically. Value can be constrained, time-bound or revoked in ways software can reason about directly. This is why cryptocurrency matters, not as ideology, but as infrastructure for machine-to-machine commerce.
When value moves at software speed, security becomes inseparable from the product itself. Recent incidents have shown how modern failures occur through systems doing exactly what they are designed to do. From Log4Shell to MOVEit and CitrixBleed, the most damaging breaches followed legitimate operational paths rather than obvious intrusions.
Programmable finance amplifies this risk. Blockchain does not remove trust. It encodes it. Authority becomes cryptographic keys, governance becomes code and failure becomes irreversible state change. When smart contracts fail, they do not crash. They move money incorrectly.
The most serious failures in decentralised systems have not been cryptographic. They have been logical: flawed authorisation, poor key governance and weak separation of duties. These mirror the same control failures banks have always faced, except they are now permanent and automated.
For financial institutions, smart contracts must be treated as financial instruments, not applications. Their design begins with economic threat modelling, not code. Core invariants such as solvency, asset segregation and conservation of value must be enforced formally, with the ability to intervene when assumptions fail. Immutability without governance is not resilience. It is a risk.
These issues are most visible in custody, bridges and tokenisation gateways. Systems that move value between environments accumulate risk faster than those that store it. For institutions in Bahrain and Saudi Arabia exploring tokenised deposits, sukuk or settlement rails, these layers are systemically important infrastructure.
As agentic AI enters financial workflows, the challenge deepens. Once AI systems can transact, they become privileged identities that act continuously and adaptively. In this context, prompt injection becomes an authorisation failure and model compromise becomes systemic financial risk.
The institutions that succeed will not be those that simply add AI or crypto. They will be the ones that engineer trust as a programmable system.
Because the next bank run will not happen at branches.
It will happen in code.
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