📌 Interledger Protocol Summary
The Interledger Protocol (ILP) is an open protocol designed to enable payments and value transfers across different payment networks and ledgers. It acts as a bridge between various financial systems, allowing them to communicate and exchange money, much like how the internet enables communication between different computer networks. ILP does not require all participants to use the same technology or currency, making cross-network payments faster and more accessible.
🙋🏻♂️ Explain Interledger Protocol Simply
Imagine you have friends who all use different messaging apps and none of the apps can talk to each other directly. The Interledger Protocol is like a universal translator that lets messages pass smoothly between every app, no matter which one you use. In the case of money, ILP lets you send payments from one system to another without worrying about what technology or currency each person uses.
📅 How Can it be used?
A business could use ILP to accept payments from multiple digital wallets and banks worldwide, regardless of their underlying systems.
🗺️ Real World Examples
A freelance designer in the UK can invoice a client in Japan and receive payment instantly, even if the client uses a local Japanese payment service and the designer prefers a UK bank. The Interledger Protocol connects the two systems, converting and transferring the funds seamlessly between the different networks.
An online store integrates ILP to let customers pay using various methods, such as cryptocurrencies, mobile wallets, or traditional banks. The store receives all payments directly into its preferred account, regardless of the payment method chosen by each customer.
✅ FAQ
What is the Interledger Protocol and how does it work?
The Interledger Protocol is like a universal translator for money. It lets different payment networks, banks, and digital wallets talk to each other so you can send money across systems that would not normally be compatible. This means you can send money from one currency, say pounds, and have it arrive as dollars or yen, without the two banks needing to use the same technology. It makes moving money across borders or between different platforms much simpler.
Why is the Interledger Protocol important for online payments?
The Interledger Protocol makes it possible for people and businesses to send money to each other even if they use different banks, payment apps, or even currencies. This helps break down barriers in global trade and makes payments faster and cheaper. Instead of needing lots of middlemen or complicated conversions, ILP helps money flow more freely between different systems.
Do I need to use a specific bank or app to benefit from the Interledger Protocol?
No, you do not need to stick to one bank or app. The beauty of the Interledger Protocol is that it connects many different financial systems. As more banks, apps, and services support ILP, it becomes easier to send and receive money across various platforms, no matter which one you or the other person uses.
📚 Categories
🔗 External Reference Link
Ready to Transform, and Optimise?
At EfficiencyAI, we don’t just understand technology — we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Let’s talk about what’s next for your organisation.
💡Other Useful Knowledge Cards
Graph Feature Modeling
Graph feature modelling is the process of identifying and using important characteristics or patterns from data that are represented as graphs. In graphs, data points are shown as nodes, and the connections between them are called edges. By extracting features from these nodes and edges, such as how many connections a node has or how close it is to other nodes, we can understand the structure and relationships within the data. These features are then used in machine learning models to make predictions or find insights.
Virtual Machine Management
Virtual Machine Management refers to the process of creating, configuring, monitoring, and maintaining virtual machines on a computer or server. It involves allocating resources such as CPU, memory, and storage to each virtual machine, ensuring they run efficiently and securely. Good management tools help automate tasks, improve reliability, and allow multiple operating systems to run on a single physical machine.
Process Insight Tools
Process insight tools are software or systems that help people understand how work flows in organisations. They collect and analyse data on business processes, showing where things are working well and where there may be problems or delays. These tools often provide visual representations, such as charts or diagrams, making it easier to spot trends and inefficiencies. By using process insight tools, businesses can make informed decisions about how to improve their operations, reduce waste, and increase productivity. They support continuous improvement by highlighting opportunities for change.
Customer Satisfaction Survey
A customer satisfaction survey is a tool businesses use to gather feedback from their customers about their experiences with products or services. The survey usually includes questions about how well customer needs were met, the quality of service, and areas for improvement. This feedback helps organisations understand their strengths and identify where they can make changes to better serve their customers.
Policy Iteration Techniques
Policy iteration techniques are methods used in reinforcement learning to find the best way for an agent to make decisions in a given environment. The process involves two main steps: evaluating how good a current plan or policy is, and then improving it based on what has been learned. By repeating these steps, the technique gradually leads to a policy that achieves the best possible outcome for the agent. These techniques are commonly used for solving decision-making problems where outcomes depend on both current choices and future possibilities.