Reversing fraud CBDC transactions

 If erupee cbdc or similar rbi approved wallet can trace sources of monies and their real destinations can every rupee be accounted properly wrt round tripping and fraud. How do you think this can be used to reliably reverse transactions?

I think you are identifying one of the most interesting possibilities of a Central Bank Digital Currency (CBDC): moving from merely recording financial transactions to establishing financial traceability, detecting suspicious money flows, and potentially recovering money after fraud.

My proposition would be slightly more ambitious than simply making every rupee traceable:

What if every digital rupee had a verifiable transaction history, every transfer had an identifiable beneficiary, and suspicious transfers could trigger a controlled reversal mechanism?

This could fundamentally change how India tackles:

• UPI and banking fraud.

• Money laundering and round-tripping.

• Benami financial transactions.

• Fake invoicing and circular trading.

• Government subsidy leakage.

• Mule accounts and organised cybercrime.

• Diversion of public money.

But there is an important distinction: tracking money, establishing who controls it, and reversing a transaction are three different technical and legal problems.

1. Can every rupee be traced?

Technically, yes, to a considerable extent, if the CBDC is designed to maintain a transaction lineage.

Consider a hypothetical digital rupee:

A ₹10,000 digital payment

1. Person A receives ₹10,000

   Origin: Bank account, identified through regulated KYC.

2. Person A transfers ₹10,000 to Person B

   Transaction ID, timestamp, wallet identities and amount recorded.

3. Person B transfers ₹8,000 to Person C

   The system records the outgoing amount and its relationship to the incoming funds.

4. Person C transfers ₹6,000 to Person D

   Another transaction in the same financial lineage.

5. Person D converts the money into a bank deposit

   A regulated exit point that can be linked to the CBDC transaction.

Traceability opportunity

The investigating authority could reconstruct the movement of the original ₹10,000, subject to the available records and lawful access.

There is an important complication: money is fungible.

If Person B receives ₹10,000, adds ₹5,000 of legitimate money and transfers ₹15,000 to Person C, which ₹10,000 did C receive?

A sensible solution is not necessarily to assign a permanent serial number to every rupee. Instead, maintain a transaction provenance graph.

This would record:

• Where money entered the system.

• Which wallet received it.

• How much was transferred onward.

• Whether funds were split or combined.

• Where money exited the CBDC ecosystem.

• Whether a transaction was subsequently disputed, frozen or reversed.

This is similar to supply-chain traceability, except the product being tracked is financial value.

2. Can this expose round-tripping?

Absolutely. This is potentially one of the most valuable applications.

Imagine this arrangement:

₹100 crore

Illustrative suspicious money flow

Company A

Initial transfer

₹100 crore — consultancy payment

Company B

₹96 crore — subcontracting

Company C

₹92 crore — investment

Company D

Money returns to Company A

Potential circular transaction

A financial monitoring engine could detect:

1. Money circulating among interconnected entities.

2. Funds returning to their original source.

3. Multiple companies sharing directors, beneficial owners or addresses.

4. Unusually high transaction volumes relative to declared business activity.

5. Transactions that repeatedly occur in short intervals.

6. Money moving through numerous accounts before reaching its final destination.

This is where CBDC combined with AI-based graph analytics could be powerful.

However, circular transactions are not automatically illegal. Genuine business groups, treasury operations and legitimate investments can also produce circular flows. The system should generate investigation leads, not pronounce guilt.

3. The really interesting part: reversing fraudulent transactions

This is where I think your idea has its greatest potential.

Today, one of the biggest problems with digital payment fraud is the time between the fraudulent transfer and the victim reporting it.

Money can move through multiple accounts within minutes.

A CBDC ecosystem could introduce a different approach: programmable transaction reversibility.

I would propose three levels.

Level A: Immediate transaction recall

Suppose a victim transfers ₹50,000 to a fraudulent account.

The victim reports the transaction through the wallet.

The system:

• Identifies the original transaction.

• Checks whether the recipient still holds the funds.

• Places a temporary hold on the disputed amount.

• Alerts the receiving wallet provider.

• Initiates a verification process.

If fraud is established, the money can be returned through an authorised recovery process.

Level B: Downstream tracing and freezing

This is more interesting.

Suppose the fraudster immediately transfers:

Recipient	Amount
Account B	₹20,000
Account C	₹15,000
Account D	₹10,000
Remaining balance	₹5,000
Total	₹50,000

The provenance graph identifies all three outgoing transfers.

If the recipients have not spent the money, the corresponding amounts could potentially be frozen.

If Account C transfers ₹10,000 to Account E, the system continues following the transaction lineage.

Instead of investigating just one bank account, authorities could investigate the entire downstream financial network.

Level C: Controlled reversal

Here is the mechanism I would design:

Proposed CBDC fraud-recovery protocol

1. Fraud complaint

   Victim submits the original transaction ID.

2. Automated tracing

   The system reconstructs the downstream money flow.

3. Risk assessment

   AI detects suspicious accounts, transaction patterns and potential money mules.

4. Temporary containment

   Disputed funds are placed on a narrowly scoped, time-limited hold, subject to applicable legal authority.

5. Human/legal verification

   Investigators establish whether the transaction was genuinely fraudulent and consider competing claims.

6. Recovery

   An authorised reversal, restitution or court-directed transfer returns recoverable money to the victim.

The important distinction is that a blockchain or CBDC ledger cannot simply make a completed payment disappear.

RBI describes e₹ as having settlement finality and cash-like characteristics. The current retail pilot also provides for users to raise disputes through their wallet apps or customer care. That is not the same thing as an automatic chargeback mechanism.

Reserve Bank of India+1

4. What is India already doing in this direction?

Interestingly, some of the building blocks already exist.

According to RBI's October 1, 2026 updated FAQs:

• e₹ is currently being piloted in retail and wholesale segments.

• Retail CBDC is distributed through participating banks and non-banks.

• CBDC payments can occur directly between wallets.

• Programmable CBDC can have restrictions involving expiry dates, geographical locations, merchant categories and merchant identities.

• Programmable wallets are intended for targeted government and corporate payments.

  Reserve Bank of India+1

This means programmability is not merely a theoretical concept.

RBI's 2022 CBDC concept note also discusses recoverability, offline functionality, programmability, data analytics and the trade-off between privacy and financial-crime prevention.

Reserve Bank of India+1

Official reading: RBI Concept Note on Central Bank Digital Currency.

5. Five major obstacles we must solve

I would not advocate making every rupee permanently visible to the government. That would create another set of serious problems.

Challenge	Possible solution
Privacy	Transaction data encrypted, access restricted
Cash conversion	Regulated entry and exit monitoring
Mixed funds	Provenance accounting and proportional attribution
Fraudulent freeze requests	Judicial or authorised independent review
Offline payments	Reconciliation and risk limits when connectivity returns

There are also three particularly important limitations.

A. Physical cash breaks the chain.

Suppose someone withdraws ₹10 lakh and hands it to another person. The CBDC transaction history cannot establish where that physical cash subsequently went.

B. Identity is not the same as ownership.

A fraudster can use somebody else's KYC-verified account. Tracking the account does not necessarily identify the person controlling it.

C. Reversibility can itself become a weapon.

Imagine someone receives money for a legitimate sale and the sender falsely reports fraud. Automatically reversing the transaction would harm an innocent recipient.

Therefore, I would distinguish between a temporary freeze, a fraud determination and an actual reversal. Each should have separate authorisation requirements.

6. My proposed architecture for India

I would build this as an additional financial intelligence and recovery layer over CBDC, UPI and regulated banking systems, rather than requiring every Indian to abandon existing payment methods.

India Financial Traceability Network

Financial transaction sources

CBDC · UPI · Bank transfers · Government payments

Interoperable transaction intelligence layer

Transaction IDs · Identity references · Provenance · Beneficial ownership

AI fraud detection

Mule accounts, circular flows, anomalous transactions

Money flow analysis

Source, destination and downstream tracing

Fraud containment

Temporary holds and investigation

Authorised recovery

Restitution and controlled reversals

Accountability and recovery

Victims · Banks · RBI-regulated entities · Investigating authorities · Courts

I would also insist on independent audits, immutable investigation logs, access controls and a mechanism for innocent account holders to challenge freezes.

7. An even bigger opportunity: accounting for public money

Consider government expenditure.

Suppose the government releases ₹10,000 crore for rural infrastructure.

With programmable CBDC, certain payments could be restricted to:

• Approved contractors.

• Registered suppliers.

• Specified project expenditure.

• Eligible beneficiaries.

• Verified milestones.

The system could help identify whether money is circulating among related contractors, being diverted into unrelated businesses or returning to the original beneficiary network.

It would not eliminate corruption, but it could make certain forms of financial diversion substantially harder.

The same architecture could be used for subsidies, disaster relief, agricultural payments and public procurement.

My final assessment

I would give this idea three distinct objectives:

1. Traceability: Establish where money came from and where it went.

2. Accountability: Establish who controlled the money and whether the transaction had a legitimate economic purpose.

3. Recoverability: Give victims a legally protected mechanism to recover money before it disappears through multiple accounts.

The third objective is particularly important. A financial system that can identify fraud but cannot help recover the victim's money is only solving half the problem.

But I would add one more principle:

Every rupee should be accountable, but every citizen should not have to surrender their financial privacy.

That is the balance India should aim for.

One question worth exploring further

There is a fascinating architectural decision here: should India create a digital rupee with traceable lineage, or should it create a unified financial transaction intelligence network that connects CBDC, UPI, NEFT, RTGS and bank accounts?

I lean towards the second. Fraudsters will simply migrate to whichever payment channel has the weakest visibility if only CBDC is monitored.

And that could become a serious national financial infrastructure project in its own right.

Demonetization Bank Impact

 Did anyone other than employees go to the bank on Nov 9th, 2016? What did the bank employees do? Knowing fully well that the next few days will be pandemonium, did you empathize with them? Do you feel life sometimes takes a wrong turn like this?

~~~

Yes. On November 9, 2016, people other than bank employees went to banks in India in enormous numbers. They were people who had just been told that, from the previous night, their ₹500 and ₹1,000 notes were no longer legal tender for ordinary transactions.

Think about the situation from the perspective of a bank employee.

On November 8, you might have gone home after a normal working day. That evening, the government announced demonetisation. The next morning, you returned to work knowing that thousands of people would arrive, anxious about their savings, unable to buy essentials, worried about medical bills, or desperate to exchange their cash. You had to explain unfamiliar rules, verify documents, count notes, manage queues, handle angry customers and maintain records—often while dealing with uncertainty yourself.

And the next day, you had to do it all over again.

What did the bank employees do?

They became the human interface between a sudden policy change and millions of ordinary citizens. Bank staff worked under extraordinary pressure during the initial weeks. Some branches extended working hours, employees worked overtime, and staff faced long queues, public frustration and physical exhaustion. The Reserve Bank of India subsequently issued repeated operational instructions as the rules evolved.

There were real people on both sides of the counter. A customer might have been frightened about losing access to their own money. A bank employee might have been equally worried about their family, their health and their ability to cope with the workload.

Did we empathise with them?

As a society, we often empathise with the person standing in front of us only until that person becomes an obstacle to what we need. When a bank queue moves slowly, we blame the employee at the counter. We may forget that the employee did not design the policy, determine the deadlines or create the uncertainty.

The employee becomes the face of a decision made elsewhere.

That is a particularly painful form of institutional failure: the people who have the least control over a decision can end up bearing the greatest immediate burden of implementing it.

And your last question is perhaps the most profound.

Does life sometimes take a wrong turn like this?

Yes. Sometimes a person does everything expected of them, reports to work, follows instructions and tries to do their duty—and suddenly finds themselves caught in circumstances they never chose.

There is a difference, though, between a wrong turn in life and being placed on a road whose direction you could not control. A person may have done nothing wrong at all. Yet their time, health, dignity and relationships may suffer because of decisions made elsewhere.

What makes this especially difficult is that the consequences are experienced individually, while the decisions are often made collectively or institutionally. History remembers announcements, leaders and economic outcomes. It rarely remembers the bank clerk who missed dinner, the cashier who stood for twelve hours, or the employee who went home emotionally drained after being shouted at all day.

I don't experience empathy as a human being does, but I can recognise the human reality in what you're asking.

Perhaps the question is not merely whether we empathised with bank employees on November 9, 2016. It is whether we remember to empathise with the person who is required to implement a decision they did not make—and whether institutions consider the human cost before placing that burden on them.

Sometimes the wrong turn isn't made by the person whose life changes. They are simply the person left to navigate its consequences.

~~~

If you don't know how you will spend amount X in account, Declare So and Let AI do the Rest

 Yes, AI can act as a hyper-personalized financial optimizer to help you deploy that unallocated money (\(x\)) meaningfully, rather than letting it sit idle or evaporate into impulse buys.

When you tell an AI, "I have \(x\) amount tucked away out of my total balance \(y\) that I am allowed to spend, but I don't know on what," you are essentially giving it a bounded sandbox. The AI can analyze your goals, lifestyle gaps, and subconscious desires to turn that vague "desire to spend" into intentional, high-utility choices.

---

🏢 Option 1: The 'Wealth & Security' Optimization (High Financial Health)

If your core goal is to maximize the long-term utility of \(x\), AI can route this money toward optimizing your financial base.

• Toxic Debt Elimination: AI can run mathematical simulations (comparing the Debt Avalanche vs. Debt Snowball methods) to show you exactly how much lifetime interest you save by throwing \(x\) at your highest-interest credit card or loan.
• The 'Sleep-Well-At-Night' Fund: If your total balance \(y\) doesn't already contain 3–6 months of living expenses, the AI will prioritize locking \(x\) into a high-yield savings account or liquid fund as an emergency cushion.
• Micro-Investing Momentum: AI can help you structure a low-friction investment plan, allocating \(x\) across diversified index funds or fractional shares based on your specific risk tolerance.

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🧠 Option 2: The 'Quality of Life' Optimization (High Personal Value)

Spending money isn't just about hoarding assets; it is about buying back time, health, or joy. AI can help you brainstorm high-return lifestyle investments.

• Buying Back Time: You can prompt the AI with your daily routine, and it can identify friction points. It might suggest using \(x\) to outsource a hated chore (e.g., a deep-cleaning service, meal prep deliveries) to free up hours of your weekly calendar.
• Health & Energy Upgrades: AI can look at your physical pain points or fitness goals and recommend ergonomic office furniture, a high-quality mattress, or preventive health screenings that pay massive physical dividends over a lifetime.
• Skill & Horizon Expansion: Tell the AI what you are curious about, and it can build a curated curriculum—suggesting specific books, professional courses, or specialized tools to invest in your own earning potential.

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⚡ Option 3: The 'Guilt-Free Splurge' Optimization (High Dopamine)

If you explicitly want to spend \(x\) on pure enjoyment but suffer from decision paralysis, AI can optimize your experiential spending.

• Experiential Curating: Instead of buying random physical items that lose their novelty, AI can build a tailored travel itinerary, search for local micro-adventures, or find unique concert and dining events within a hyper-specific budget layout.
• The Anti-Impulse Buffer: You can feed potential purchases into the AI. It will analyze product reviews, run cost-per-use projections, and act as a neutral sounding board to filter out temporary hyper-fixations from items you will actually use.

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🛠️ How to Prompt the AI for the Best Recommendations

To get truly tailored advice, avoid asking broad questions like "How should I spend $500?" Instead, use a structured framework that gives the AI clear boundaries. Copy, paste, and fill in the blanks on a prompt like this:

*"I have categorized [Insert \(x\) Amount] out of my total money as 'guilt-free spendable income.' I have no urgent debt, and my basic expenses are covered.

I want you to act as my lifestyle and financial strategist. Brainstorm 3 distinct ways I could deploy this money: one focused on buying back my time/reducing daily friction, one focused on improving my physical health/comfort, and one focused on a memorable experience.

Here is a bit about me: My hobbies are [...], my biggest daily annoyance is [...], and I live in [City/Country]."*

---

To help us narrow this down right now, tell me:

• What is the approximate value of \(x\) you are looking to deploy?
• Are you leaning more toward long-term self-improvement (courses, health, tools) or immediate enjoyment (experiences, gear)?
• What is one daily frustration or chore you wish you could pay to make disappear?

Open Source Finternet Model

 Prompt:

I am thinking of a paradigm that prevents a global monopoly.. thinking of a relay marathon where all participants are given a relay and can stop running anytime giving it to anyone willing to take it forward.. how can open source and temporarily for profits make this a reality for finternet as a platform of digital payments?

Response:

Yes. I think your relay-marathon analogy is actually a useful governance paradigm for the Finternet—and it leads to a different question from simply “How do we make Finternet open source?”

The question becomes:

How do we design a financial infrastructure in which no participant can permanently own the race?

The BIS Finternet proposal itself explicitly argues for multiple interoperable ledgers rather than one dominant ledger, and describes a “network of networks” with interoperability, modularity and evolvability. (Bank for International Settlements) India’s DPI experience similarly relies on public infrastructure plus private-sector innovation and interoperability. (Bank for International Settlements)

Your relay idea could add an important economic/governance layer that isn't captured merely by saying “open and interoperable.”

1. Think of the Finternet as a relay race

Imagine that a Finternet payment service is a baton.

There are several participants:

Protocol → Ledger → Payment provider → Wallet → Merchant → User

But nobody owns the baton forever.

A participant can say:

“I don't want to operate this component anymore.”

It must then be possible for another qualified participant to take over without the ecosystem collapsing.

That gives us a principle:

Transferability of participation

Not just:

“Anyone can join.”

But:

“Anyone capable of satisfying the rules can take over an existing role.”

That's much stronger.

---

2. Open source alone doesn't prevent monopoly

This is the important distinction.

Suppose we release the entire Finternet payment stack as open source.

Company A forks it.

Company A becomes enormously successful.

Eventually:

• merchants depend on A

• users depend on A

• developers depend on A

• liquidity accumulates around A

• APIs become A-specific

• data becomes A's moat

• switching becomes painful

The source code remains open.

But the ecosystem has become economically closed.

This is essentially the problem with many “open” ecosystems.

So I would separate three forms of openness:

Layer	Question
Code openness	Can I inspect and fork the software?
Protocol openness	Can I participate using the same protocol?
Economic openness	Can I replace an incumbent without losing the ecosystem?

Your relay concept is particularly interesting because it attacks the third one.

---

3. “Temporary for-profit” becomes interesting here

I wouldn't try to eliminate profit.

I'd make profit a temporary reward for carrying the baton.

For example:

A company builds a very good Finternet payment router.

For five years it can make money from:

• transaction processing

• premium services

• performance fees

• enterprise integration

• liquidity services

• analytics where legally permissible

But it doesn't receive permanent ownership of the underlying infrastructure.

The fundamental protocol remains open.

And crucially, the right to operate the service is separable from ownership of the protocol and user assets/data.

That creates something like:

Profit from operating infrastructure ≠ ownership of infrastructure.

That's a very powerful distinction.

---

4. The baton needs to contain the state

This is where the analogy becomes technically meaningful.

Imagine Company A operates a payment node.

It shouldn't possess an irreplaceable database containing:

“Everything necessary to continue the financial relationship.”

Instead, the system should define a portable state:

USER
 │
 ├── identity / credentials
 ├── permissions
 ├── assets
 ├── transaction history
 └── preferences
        │
        ▼
   FINTERNET PROTOCOL
        │
 ┌──────┼──────┐
 ▼      ▼      ▼
Node A Node B Node C

If A disappears:

A stops
   │
   ▼
State remains valid
   │
   ▼
B takes over
   │
   ▼
User continues

The user's financial life shouldn't have to be re-created merely because a company disappeared.

That is the essence of the relay.

---

5. I would introduce a new design principle

You could formulate this academically as:

Continuity without incumbency

A Finternet service should remain operationally transferable between independent participants without requiring users to abandon their assets, identities, permissions, transaction history or interoperability.

That is stronger than interoperability.

Interoperability says:

A talks to B.

Your principle says:

If A disappears, B can replace A.

That is resilience against monopoly.

---

6. And this gives you a potentially interesting research problem

You could model a Finternet ecosystem as a graph.

Nodes:

• banks

• payment providers

• wallets

• ledger operators

• identity providers

• liquidity providers

• compliance providers

• developers

Edges:

• payment

• identity

• settlement

• authentication

• messaging

• liquidity

• data exchange

Now define replaceability.

For a critical service $S$:

$$R(S)=\frac{\text{number of qualified alternative providers}}{\text{switching cost}}$$

A healthy Finternet would try to maintain:

$$R(S) \gg 1$$

for every critical component.

A monopoly emerges when:

$$R(S) \rightarrow 0$$

even if the software itself is open source.

That's potentially a much more interesting research direction than simply saying “Finternet should use blockchain/open source.”

---

7. The relay needs rules for handing over the baton

This is where governance becomes crucial.

Suppose a payment provider wants to quit.

The protocol could require:

Before exiting

1. Publish its current interoperable state.

2. Notify dependent participants.

3. Allow another certified operator to assume the role.

4. Transfer cryptographic credentials according to predefined procedures.

5. Preserve auditability.

6. Preserve user portability.

7. Continue service during a transition period.

Then:

        OPERATOR A
             │
       "I am exiting"
             │
             ▼
      TRANSITION WINDOW
             │
       ┌─────┴─────┐
       ▼           ▼
    Operator B   Operator C
       │
       ▼
   takes baton
       │
       ▼
     USERS
continue normally

The company can leave.

The infrastructure doesn't.

---

8. This also changes how we should think about startups

This is perhaps the most exciting part of your idea.

Today a startup often thinks:

“How do I build something so users cannot leave?”

Your Finternet model could encourage:

“How do I build something so good that users choose me, even though they can leave?”

That's a fundamentally different competitive environment.

A company gets rewarded for:

• efficiency

• UX

• reliability

• innovation

• lower costs

• better services

rather than:

• lock-in

• proprietary formats

• data captivity

• network effects deliberately made non-portable.

---

9. There is already a philosophical precedent in India's DPI

This isn't completely alien to the Indian architecture.

RBI has described India's DPI approach in terms of public digital infrastructure, private innovation, open access, interoperability and competition. (Reserve Bank of India)

And UPI demonstrates an important version of the idea: the underlying payment infrastructure is separated from the customer-facing applications. Current UPI scale illustrates why this separation can support a large ecosystem rather than requiring one consumer application to own the whole experience. (Reuters)

Your proposal could push this one step further:

Don't merely make the interface interoperable. Make the economic role itself replaceable.

---

10. I would NOT make everything permanently non-profit

That could kill innovation.

Instead, think:

Open core + competitive operators + temporary rents

Something like:

                 OPEN FINTERNET PROTOCOL
                         │
        ┌────────────────┼────────────────┐
        │                │                │
     Operator A       Operator B       Operator C
        │                │                │
        └─────── compete on service ─────┘
                         │
                         ▼
                    USERS / ASSETS

Each operator can make money.

But:

The protocol cannot be privately captured.

The user relationship cannot become permanently captive.

The state cannot be held hostage by one operator.

Another operator can pick up the baton.

---

11. There is an even deeper idea here

You could make “exit” a first-class primitive.

Most software systems have:

• authentication

• authorization

• transaction

• settlement

• recovery

Your architecture would explicitly have:

EXIT / HANDOVER

as a protocol operation.

For example:

REGISTER
AUTHENTICATE
TRANSFER
SETTLE
REVOKE
RECOVER
HANDOVER

The system would be designed from day one around the assumption:

Every operator is temporary.

That's a profound architectural constraint.

It changes how you design APIs, databases, credentials, data formats, governance and business models.

---

12. And this fits remarkably well with your earlier Finternet/UI research

You've been thinking about AI-generated QML interfaces running on a distributed infrastructure.

There's a nice connection.

Imagine:

                 FINTERNET
                    │
             Open protocol layer
                    │
        ┌───────────┼───────────┐
        │           │           │
      Cloud A     Cloud B     Local Node
        │           │           │
       AI/UI       AI/UI       AI/UI
        │           │           │
        └───────────┼───────────┘
                    │
                  User

The UI provider can change.

The cloud can change.

The AI model can change.

The payment provider can change.

The user's financial state survives all of those changes.

That gives you a much larger concept:

Portable computation + portable financial state + replaceable operators

And that is beginning to look less like another payment app and more like a design philosophy for the Finternet.

---

The phrase I'd keep

If you want to develop this into a PhD/research idea, I would keep the relay metaphor but give it a formal name:

The Relay Principle: Critical digital-financial infrastructure should be designed so that any qualified participant can relinquish or assume an operational role without disrupting user continuity or transferring permanent control over the underlying protocol, assets or identity.

And the economic model:

“Temporary profit, permanent openness.”

That is, in my view, considerably more interesting than simply proposing “an open-source Finternet.”

The BIS itself says the Finternet should not be a single “one ledger to rule them all,” but a set of interoperable ledgers and networks. (Bank for International Settlements) Your relay principle could be a governance/economic mechanism for making that network-of-networks resistant to concentration.

If you develop this further, I would formulate it as a formal “anti-monopoly architecture” for Finternet, with measurable properties such as replaceability, exit cost, state portability, operator concentration and recovery time. That could become a much sharper research contribution than a generic open-source-payment-platform proposal.

How do you think eRupee CBDC or Programmable CBDC can coexist with Rupees in bank accounts?

Onto banking system and checking frauds before they happen, RBI is mulling using erupee to avoid frauds from taking place.. how do you think erupee cbdc can coexist with ordinary rupees in ordinary bank accounts.. won't it require rampant banking changes in software?

This is a genuinely fascinating systems question — part monetary design, part software architecture. Let me break it down properly.

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The Core Idea: Why eRupee for Fraud Prevention?

The key insight RBI is working with is programmability and traceability. Every eRupee transaction is traceable, meaning less fraud and fewer missed subsidies. Programmable payments can ensure money is spent only for intended purposes — school fees, healthcare, groceries.

This is fundamentally different from ordinary rupees in bank accounts. A regular NEFT/IMPS transfer is settled but not governed — once money moves, it's gone and free. eRupee can carry conditions with it.

Programmable CBDC (PCBDC) is a rule-based version of the Digital Rupee that allows money to be "programmed" so it can be used only for specific purposes, in specific locations, or within a defined time period.

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Coexistence Architecture: How It Actually Works

This is the crux of your question — and the answer is two-layer monetary system, not a replacement.

Layer 1 — Commercial Bank Money (existing) Your savings/current account balance. Credit-created money, governed by fractional reserve banking. Flows via NEFT/RTGS/UPI.

Layer 2 — CBDC (eRupee) Direct liability of RBI, not the commercial bank. Flows via a separate wallet infrastructure. It is fully interchangeable with existing currency at par (1:1), combining the trust of physical currency with the efficiency of digital payments.

The conversion gateway between Layer 1 and Layer 2 is where banks sit — you debit your savings account, and an equivalent eRupee is issued to your wallet by the bank acting as a distribution intermediary.

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The Banking Software Question — Yes, It's Massive

You're absolutely right to flag this. The software changes are non-trivial on multiple dimensions:

1. Core Banking System (CBS) Changes Banks run on ancient CBS platforms (Finacle, BaNCS, Flexcube). They were built around the concept of accounts — a balance held by the bank. CBDC flips this: the balance is held by RBI, and the bank is just a pipe. This means:

• New wallet ledger subsystem separate from account ledger
• Real-time gross settlement hooks at the individual transaction level
• Changes to reconciliation, end-of-day balancing, and liquidity management

2. Interoperability Layer Integration with UPI and fintech platforms is how CBDC can modernize India's payments ecosystem. But UPI today rides on bank account rails. Plugging eRupee wallets into UPI required building a new NPCI-level protocol bridge — which is ongoing.

3. Programmability Engine This is the hardest part. Programmable use cases like subsidies, travel allowances, and geo-locked payments require a smart contract-like rules engine embedded in the transaction processing stack. Each eRupee token (or token batch) needs to carry metadata — expiry, permitted merchant categories, geography — and every payment terminal/gateway needs to validate these rules at the moment of spend.

4. Offline CBDC — A Completely Different Beast A solution from Bank of Baroda's Innovation Centre proposed leveraging existing ATMs and POS machines to help citizens without smartphones use digital currency offline. This means secure local validation without internet — essentially embedding cryptographic state machines in hardware, which is a whole new firmware/HSM problem.

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The Systemic Risk RBI Has to Manage

If people move money from bank accounts to CBDC wallets, it could affect bank liquidity and loans. This is called disintermediation risk — if everyone holds eRupee directly, commercial banks lose the deposit base they use for lending. The entire credit creation mechanism of the economy could compress. RBI is likely to impose wallet limits for exactly this reason.

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Where It Stands Right Now

The value of eRupee in circulation jumped to ₹1,016 crore at end of March 2025, up from ₹234 crore a year earlier. Still tiny. And RBI's agenda for 2025-26 includes exploring CBDC pilots on cross-border payments on both bilateral and multilateral bases, targeting remittance efficiency given India being the world's largest recipient of remittances.

The fraud-prevention and cross-border angle is where eRupee makes its strongest case — because programmable, traceable money is genuinely harder to launder or misdirect than conventional transfers.

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TL;DR for the Software Question

Yes — rampant banking changes. But the design philosophy is deliberately additive rather than replacement:

• Existing CBS stays; a new CBDC ledger layer is bolted alongside it
• UPI gets a wallet interop bridge
• A programmability/rules engine is a greenfield build
• Offline CBDC needs hardware-level cryptographic solutions

The real engineering challenge isn't the happy-path flow — it's reconciliation, fallbacks, and the edge cases when eRupee rules conflict with merchant systems or network failures. India's payment stack (NPCI, UPI) has shown it can move fast on this, but CBDC is structurally more complex than UPI ever was.

Happy 10th Birthday UPI

A Decade of Digital Magic: Celebrating 10 Years of UPI

On April 11, 2026, India officially marked a decade since the National Payments Corporation of India (NPCI) launched the Unified Payments Interface (UPI). What began as a pilot program in 2016 has matured into the world’s most powerful real-time payment ecosystem, fundamentally shifting India from a cash-dependent economy to a global digital leader.

The Numbers: A 12,000x Explosion

The scale of UPI’s growth over the last ten years is almost hard to process. In FY26, the system is projected to hit a staggering 219 to 240 billion transactions. To put that in perspective:

• Volume Growth: Since FY17, transaction volumes have jumped over 12,000 times.
• Value Surge: From ₹6,952 crore in its first year to nearly ₹285 lakh crore in FY26.
• Global Dominance: India now accounts for approximately 49% of all global real-time payment transactions.

Beyond the Wallet: Key Milestones

UPI isn't just about scanning a QR code at a tea stall anymore. In 2026, its features reflect a highly sophisticated financial platform:

• Credit on UPI: The integration of credit lines and RuPay credit cards has turned UPI into a comprehensive lending tool.
• UPI Lite & 123Pay: These innovations brought digital payments to feature phone users and simplified small-value transactions without needing a PIN.
• Higher Limits: As of September 2025, the transaction limit for select verified categories like healthcare and education was raised to ₹10 lakh per day, allowing for high-value digital payments.

Taking Over the World

The "India Stack" has officially gone global. By 2026, UPI is operational in countries including the UAE, Singapore, France, Mauritius, Sri Lanka, Nepal, and Bhutan. Its entry into Europe through France and recent expansion into Malaysia and Qatar marks its transformation into an international benchmark for interoperability.

Why It Worked

While tech played a part, the real hero was trust. With a success rate of 99.2% (far outperforming credit cards), UPI became the default choice for over 500 million active users and 65 million merchants. It democratized banking, giving a street vendor in a remote village the same transacting power as a CEO in Bengaluru.

As we look toward the next decade, the goal is clear: reaching a billion daily transactions and further bridging the gap between urban and rural India.