The debate about innovation and banking technology isn’t about presenting slides on digital transformation to the board; it’s about operationalizing real changes within structures that were built for stability, not speed.
And it is precisely in this tension that most banks freeze.
If you work in the innovation area of a financial institution, in a brokerage firm, in distribution, or in investments, you’ve probably already experienced this friction firsthand.
An initiative that makes sense in the innovation field gets bogged down in compliance. A product that works in pilot phase doesn’t scale to distribution. A technology approved by the board fails to integrate with core banking.
The question this article poses is not “if” banks will evolve, but what separates those that manage to operationalize this evolution from those that remain producing merely decorative innovation.
The answer, as we will see, lies not in the size of the innovation team or the banking technology budget. It lies in the quality of the infrastructure that supports the operation.
BLOCKBR, an asset tokenization infrastructure for the regulated financial market, operates within this reality, not as an external observer, but as a functional part of the ecosystem that is being built now.
Throughout this content, we will dissect the real bottlenecks, compare structural models, and show what true banking innovation requires in practical and operational terms.
The current state of banking innovation and technology.
There is a clear dissonance in the banking sector. On one hand, the annual reports of large institutions showcase innovation labs, digital transformation squads, partnerships with fintechs, and blockchain pilot projects.
On the other hand, the operational reality of many of these same institutions still revolves around core banking systems that are decades old, manual reconciliation processes, and distribution structures that haven’t changed substantially in years.
This is not gratuitous criticism. It’s a diagnosis. And understanding this diagnosis accurately is the first step for any professional who wants to implement true banking innovation, not just presentation innovation.
O que está de fato acontecendo no setor pode ser dividido em três camadas:
- Regulatory maturity has arrived: The Brazilian regulatory framework for digital assets, involving the CVM (Brazilian Securities and Exchange Commission), the Central Bank, VASP (Brazilian Securities and Exchange Commission), and DTVM (Securities and Exchange Distributors), is more structured and clear than ever before. This eliminates much of the “gray area” that was used as an excuse for not moving forward.
- Pressure on the core has increased: The most significant movement in 2026 is not the creation of new financial products, but the growing pressure on the legacy systems that underpin operations. Legacy core banking systems create real bottlenecks for any initiative that relies on speed, traceability, or integration with digital infrastructures.
- Execution has not yet kept pace: Despite mature regulation and technological pressure, most institutions still operate in internal silos that make the execution of innovation initiatives fragmented, slow, and disconnected from the real business strategy.
To get a real sense of the gap, observe the contrast below:
| What was expected | What actually happened | Real operational impact |
| 100% digital operational asset distribution platforms | Most still in pilot phase or with hybrid operation | High operational cost, dependence on parallel manual processes |
| Asset tokenization as standard practice in bank brokerages | Tokenization still treated as a special project, not as infrastructure | Each operation requires structuring effort from scratch, without leveraging scalability. |
| Seamless integration between innovation, brokerage, distribution, and investments | Internal silos maintained, projects that don’t scale to other areas | Initiatives die in the transition between areas, generating rework and loss of market opportunity |
| Compliance by design em operações com ativos digitais | Compliance ainda aplicado post-hoc, manualmente | Risco operacional elevado, auditorias custosas e tempo de reconciliação alto |
| Significant reduction of intermediaries in the distribution process | Intermediaries still present, commission structure unchanged | Compressed margin and loss of control over the end investor’s experience |
What this picture reveals is not incompetence, but poorly managed complexity. Banks are multidimensional structures with layers of governance, compliance, risk, and culture that cannot be transformed by decree.
But this complexity can no longer be used as a justification for inaction. The market doesn’t wait.
The central point this article makes is simple: the banks that are truly advancing are not necessarily the largest or the most capitalized, but those that have managed to connect intention with real operational infrastructure.
And this connection involves structural decisions that go far beyond hiring an innovation squad.
The four silos that are hindering banking innovation and technology from within.
If you’ve ever tried to implement any banking innovation and technology initiative within a financial institution, you know the journey well.
An idea is born in the innovation area, takes shape in a laboratory, is presented to another area, and then the process of progressive deceleration begins.
Not out of ill will, but because each area of the bank evaluates that idea based on a completely different set of risks, incentives, and priorities.
This is what we call an organizational silo. And in the context of banking innovation, there are four specific silos that, together, form the biggest obstacle to the real transformation of the sector.
Silo 1, Innovation Area
The innovation area is where it all begins. She understands technology, follows the fintech market, experiments with blockchain, artificial intelligence, and open finance. She prototypes well.
The problem is that, in most institutions, she lacks the authority to change core systems, and is often unaware of the operational and regulatory implications of what she is prototyping.
O resultado prático é uma sequência de POCs que nunca chegam a produção. Projetos que funcionam no sandbox da área de inovação morrem ao encontrar a operação real.
Not due to a lack of technical quality, but because they were built without considering the scalability, compliance, and integration requirements that a real financial operation demands.
The practical result is a series of POCs that never reach production. A recurring example: the innovation area develops a digital onboarding flow for investors in tokenized assets.
It works perfectly in the sandbox. When it reaches the brokerage, it’s discovered that the registration system doesn’t integrate with the developed platform. When it reaches compliance, it’s discovered that the KYC process requires manual approval for certain profiles. The project stalls. The market window closes.
The bottleneck here is structural: the innovation area operates with startup logic within a banking structure. These two logics rarely converge without a very well-designed integration layer.
Silo 2, Banking Brokerage
The brokerage firm is where the capital market lives within the bank. It has in-depth knowledge of financial instruments, operating rules, and the regulatory requirements of the CVM (Brazilian Securities and Exchange Commission) and the Central Bank. It’s an area that operates with precision and genuine fiduciary responsibility.
And that’s precisely why it often resists any infrastructure change involving digital assets or blockchain. Not out of irrational conservatism, but because the cost of a regulatory error in brokerage is high, and the perception of risk associated with new technologies, even when already regulated, is still poorly calibrated in many institutions.
The irony is that Brazilian regulation for digital assets is already mature enough that tokenized transactions are as secure as traditional transactions, and in many cases, more traceable and auditable. The problem isn’t regulation. It’s the internal updating of risk perception within brokerage firms.
Silo 3, Distribution
The distribution area operates on a volume-based and relationship-based system. It’s where acquisition goals reside, where advisors and relationship managers build their portfolios.
It’s an area driven by very clear incentives, and the digitization of assets changes those incentives in a way that directly threatens the existing model.
When asset distribution becomes digital and direct, the commission structure changes. The reliance on intermediaries decreases.
The bank can have direct access to the end investor without needing a network of agents who are paid for each product placed. This is good for the system’s efficiency, but it’s a perceived threat to those operating within the current model.
The bottleneck here is one of incentives: those operating within the legacy distribution model have no incentive to adopt a model that reduces their share of the commercial flow. Without a structural change in incentives, the distribution sector will stifle any initiative that threatens its position, even indirectly.
Silo 4, Investments
The investment area is the most conservative of all, and for good reason. It operates with fiduciary governance, approval committees, strict compliance, and responsibility for client capital.
Any product or infrastructure decision needs to go through multiple filters before being approved.
The problem is that this governance, when poorly calibrated, becomes a brake on the adoption of anything that is not completely familiar.
Asset tokenization is treated as a risk, not a tool, mainly because most investment areas have not yet experienced real-world operational cases within their own institutions that demonstrate its functioning on a regulated scale.
The bottleneck here is epistemic: the investment area doesn’t trust what it doesn’t know. And since most banks still don’t have internal success stories with tokenized assets at scale, the cycle perpetuates itself.
The conclusion that emerges from these four silos is inevitable: the problem is not banking technology, but rather that each silo evaluates innovation based on its own set of risks and incentives, without a view of the end-to-end flow. As long as this disconnect is not structurally resolved, banking innovation will continue to be a departmental project, not an institutional transformation.
Traditional banking vs. digital infrastructure: what changes when operations are tokenized?
One of the most effective ways to understand what is at stake in banking transformation is to directly compare how the same operations work in the traditional model and in the asset tokenization model.
Not as a theoretical exercise, but as a structural analysis that reveals where the real gains are and where the complexities that cannot be ignored lie.
Asset Origination and Structuring
In the traditional model, structuring a financial asset is a process that involves multiple areas, multiple systems, and multiple intermediaries. The legal team handles the contract.
A área de estruturação define as condições financeiras. O compliance revisa. O registro é feito em sistema separado. O processo todo pode levar semanas, e qualquer mudança nas condições do ativo exige reiniciar boa parte desse ciclo.
In the tokenized infrastructure model, the asset rules are programmed directly into the issuance logic. Financial conditions, distribution rules, eligibility criteria, payment events—all of this can be configured and automated. Structuring time drops from weeks to hours, with the same regulatory framework but a radically more efficient operational layer.
Distribution
In the digital model, distribution can be done via a proprietary platform, with the bank’s brand, rules, and strategy, without depending on third parties for the relationship with the investor. Commissioning is automated and auditable.
In the digital model, distribution can be done via a proprietary platform, with the bank’s brand, rules, and strategy, without depending on third parties for the relationship with the investor. Commissioning is automated and auditable.
The BLOCKBR Whitelabel Platform, for example, allows institutions to have exactly that autonomy: their own platform, with already regulated infrastructure, without needing to build it from scratch.
Compliance and Traceability
In the traditional model, compliance is applied post-hoc. Reports are generated manually from data from multiple systems. Reconciliation is costly and prone to errors. External audits require months to reconstruct the history of an operation.
In the tokenized model, compliance is by design.
Each transaction is recorded in the infrastructure in an immutable and auditable manner in real time. The complete history of an operation, from origination to settlement, is available with native traceability. This is not a marginal benefit: it is a structural change in how operational risk is managed.
Liquidity and Secondary Market
In the traditional model, an asset’s liquidity depends on market makers, structure, and bilateral agreements between parties. For structured credit assets, especially smaller-scale ones, liquidity in the secondary market is often limited or nonexistent.
In the tokenization model, fractionalization and transfer of ownership can be enabled with adequate infrastructure, paving the way for more efficient secondary markets. This increases the attractiveness of the asset to the investor and, consequently, improves origination conditions for the issuer.
Operating Cost
In the traditional model, the back office of a complex financial operation involves multiple accounting systems, periodic reconciliation, a dedicated team, and high fixed costs per operation. The marginal cost of adding a new operation to the portfolio is significant.
In the digital model, process automation reduces intermediate layers and lowers the marginal cost per operation. With existing infrastructure, the cost of scaling from 10 to 100 operations is not linear; it’s a fraction of what it would be in the legacy model.
Practical Example: Structuring a Credit Portfolio
Consider a mid-sized bank that needs to structure a diversified loan portfolio for distribution to qualified investors.
In the traditional model, this process involves: legal structuring of the vehicle, registration with a clearinghouse, distribution agreements with partner platforms, quota back-office, monthly reports and reconciliation, with a dedicated team and a timeframe of three to five weeks for the first issuance. The operational cost of an issuance in this model, considering the team, systems and intermediaries, rarely falls below R$ 80,000 to R$ 150,000 for medium-sized operations.
In the asset structuring model using tokenized infrastructure, the same operation can be structured with digital issuance, distribution via a proprietary platform, automatic traceability, and real-time reporting. The timeframe drops to two to five business days. The marginal cost per subsequent issuance is a fraction of the legacy model because the infrastructure is already built and the process is already automated.
The timeframe is reduced to days. The operational team required is smaller. And the regulatory framework is the same; what changes is the operational layer that supports the execution.
It’s important to make it clear: the digital model is not without its complexities. There are compliance requirements, regulatory demands, and technical integrations that need to be managed. But the structural advantages are real, measurable, and increasingly decisive for the competitive position of those operating in the capital markets.
What banking innovation and technology really require: infrastructure, not intention.
There is a recurring pitfall in discussions about innovation and banking technology: the confusion between tools and infrastructure.
There’s a lot of talk about artificial intelligence, blockchain, open finance, and APIs as if the adoption of these tools, by itself, represents transformation. It doesn’t.
Tools are instruments. Infrastructure is what determines whether those instruments can operate at scale, within a regulated environment, in a sustainable way.
And this is precisely where most banking innovation and technology initiatives fail: there is investment in tools, but no infrastructure building.
When we talk about infrastructure for digital assets in a banking context, we are talking about something specific and multidimensional:
- Legal layer: the legal structure that supports the issuance, distribution, and operation of digital assets within the existing regulatory framework.
- Technological layer: integrated systems that enable the automated origination, issuance, registration, and settlement of assets.
- Compliance layer: processes and controls that ensure adherence to regulatory requirements, not as a subsequent verification, but as a native component of the operation.
- Regulatory integration layer: operational connection with regulated entities such as securities brokers, custodians, and registrars, ensuring that the entire operation is within the legal framework.
Building this infrastructure internally is possible. But a bank attempting to do it from scratch faces three real obstacles:
Time: Building a digital financial infrastructure from scratch, with all the necessary layers, takes years, not months. In a market that is moving at increasing speed, years of delay have a high strategic cost.
Cost: The investment required to build a regulated digital asset infrastructure in-house is in the eight to nine-figure range, considering technological development, legal structuring, licensing, and regulatory maintenance. It’s an investment that makes sense for the largest players in the market, but is beyond the reach of most medium-sized institutions.
Regulatory risk: building outside of proper parameters can invalidate the entire operation. Misinterpretations of regulations regarding digital assets have serious consequences, both for the bank and for the investors operating within this framework.
That is why the trend gaining momentum in 2026 is clear: banks and financial institutions choosing to plug their operations into existing, regulated, and already tested infrastructures.
This is precisely the logic behind BLOCKBR, an asset tokenization infrastructure for the regulated financial market: to allow institutions to operate autonomously in the digital asset market without the burden of building the infrastructure from scratch.
The analogy that best explains this model is that of cloud computing.
No bank builds its own physical data centers when it can use cloud infrastructure with guaranteed SLAs, certified security, and immediate scalability.
The decision is not ideological, it’s pragmatic. The digital financial infrastructure follows the same logic: why build from scratch what already exists, is regulated, and operational?
BLOCKBR’s Whitelabel Platform embodies this concept. It allows banks and institutions to have their own financial platform, with their own brand, products, and strategy, without building from scratch or improvising regulation.
It is a SaaS infrastructure with an integrated legal and technological foundation, prepared to scale offerings, funds, and portfolios.
The central point of this section is this: the question banks need to ask is not “which banking technology to adopt,” but “which infrastructure will support the operation of digital assets in a regulated and scalable way.”
This is the strategic decision that separates those who move forward from those who remain producing innovation that never leaves the laboratory.
Regulation as an asset, not an obstacle: how innovative banks view the regulatory framework.
There is a view that needs to be directly challenged: the idea that Brazilian regulation is an obstacle to banking innovation and technology. This view is not only wrong, it is a sign that the institution is operating with outdated information.
The Brazilian regulatory framework for digital assets is currently one of the most structured in the world. The environment involving the CVM, the Central Bank, VASP, and DTVM in relation to digital assets is clearly defined enough for tokenized transactions to be structured, distributed, and operated within a solid legal framework. This is not an aspiration, it is an operational reality.
Banks that still treat tokenization as a “regulatory gray area” are simply operating with the wrong map. The landscape has shifted. The regulation is clear. What’s lacking is the will and capacity for internal execution.
The shift in perspective that separates banks that are moving forward from those that are falling behind is simple, yet powerful: treating regulation as a competitive asset, not as a bureaucratic obstacle.
Why? Because operating within a regulated environment with legal clarity reduces risk, and risk reduction increases the confidence of institutional investors, who are precisely the audience that banks want to attract to digital asset transactions.
An asset structured within a clear regulatory framework is more attractive to a qualified investor than an asset operating in a gray area, regardless of the return.
In this context, compliance ceases to be a brake on innovation and banking technology and becomes what legitimizes the secure distribution of digital assets.
It is what enables the participation of institutional investors, guarantees the traceability required by audits, and protects the institution from regulatory risks that could compromise the entire operation.
There is also an important practical aspect: the cost of non-compliance with regulations has increased significantly.
The regulatory bodies’ capacity to oversee operations with digital assets is more developed, and the consequences of operating outside the established framework are more severe.
For a bank that has a reputation and license to protect, the regulatory risk of not having adequate compliance is much greater than the risk of adapting operations to a new framework.
From innovation to operation: how to structure a real technological transformation journey within a bank.
Diagnosis is the starting point, but what the reader who has come this far needs is practical application. How does a banking institution move from the stage of “we have an innovation area doing interesting things” to the stage of “we have real operations with digital assets running within a regulated environment”?
This journey has concrete steps. And neglecting any of them is the quickest way to waste time, capital, and internal credibility.
Step 1: Operational Maturity Diagnosis
Before making any technological decisions, the bank needs to conduct an honest assessment of its maturity in every relevant dimension.
This includes: the state of core banking systems and their ability to integrate with digital infrastructures; internal regulatory capacity (team, processes, licenses); existing distribution structure and its flexibility for digital models; and the product profile that the bank wants to offer.
Without this diagnosis, any banking innovation and technology initiative is built on assumptions that may not correspond to operational reality. The result is projects that work on paper but stall when faced with the institution’s actual infrastructure.
Step 2: Defining the Action Model
This is the most important strategic decision a financial institution will make regarding digital assets: what role does it want to play in the ecosystem? Issuer, distributor, structurer, custodian—each role has different regulatory and operational requirements.
The most common mistake in 2026 is trying to fill all roles simultaneously without having adequate infrastructure for any of them. Role clarity defines the necessary infrastructure, the required investment, and the realistic timeline for operation.
For investment advisors and structuring professionals working within banking institutions, this clarity of role also defines how they position themselves internally, and how they articulate the business case to other areas of the institution.
Step 3: Choosing the Infrastructure
With the role defined, the question is: build internally, acquire via fintech M&A, or plug into existing infrastructure? Each path has real trade-offs.
Building in-house offers maximum control, but requires capital, time, and specialized technical expertise that most institutions don’t have available at the speed the market demands.
Acquiring a fintech company offers speed, but creates challenges in cultural, technological, and regulatory integration that often erode the initial benefit.
Plugging into already validated infrastructure offers the best balance between speed, cost, and regulatory security.
The trend is clear: banks that are advancing faster are those that choose already tested and regulated infrastructures, maintaining focus on what they do best: origination, distribution, and investor relations.
Stage 4: Pilot with Real Operation
This is the stage where most banking innovation and technology journeys fail. The pilot needs to be a real operation, with real assets, real investors, real regulation, and real risk. Not a sandbox proof of concept. Not a demonstration for the board.
Why? Because only real-world operation reveals the bottlenecks that no laboratory can simulate: the interaction between systems, internal approval flows, regulatory friction points, and the ability of the distribution team to operate under the new model.
A real-world pilot project, even a small-scale one, generates more strategic learning than months of prototyping in a controlled environment.
Step 5: Structured Scale
With the pilot validated, scaling is not automatic. It requires a deliberate process that includes: training the areas that will operate in the new model (brokerage, distribution, investments), integration of legacy systems with the new infrastructure, a scalable compliance structure, and clear governance of digital products.
BLOCKBR, as an asset tokenization infrastructure for the regulated financial market, operates precisely on this journey. Not as a consultancy, not as a product, but as the operational infrastructure that supports each step.
Those who use the BLOCKBR infrastructure begin operating from a base that is already regulated, integrated, and tested. The institution can focus on what it does best, while the infrastructure complexities are already resolved.
For those who want to understand how this structure works in practice, the starting point is simple: learn about BLOCKBR’s infrastructure and understand how it applies to your institution’s operating model.
The new role of banks in the digital asset ecosystem: from intermediary to infrastructure.
The traditional banking model was built on intermediation. The bank exists between those who have capital and those who need capital, capturing efficiency, reducing counterparty risk, and enabling transactions that would not otherwise occur. This model has generated decades of value and still underpins most of the global financial system.
But this role is under structural pressure. Not because banks are going to disappear, but because the nature of intermediation is changing, and banks that don’t understand this change will lose market share to players who do.
The question that banking leaders need to answer is not “will technology replace banks?”, but “what role will banks play in the new digital asset ecosystem?” And there are three concrete and viable answers.
The Bank as a Digital Issuer
In this model, the bank structures and issues tokenized assets, CRIs, CRAs, tokenized debentures, tokenized commercial notes, and funds with tokenized shares, using digital infrastructure as an operational layer.
The relationship with the investor still exists, but the process of structuring, issuing, and managing the asset is radically more efficient.
For banks that already have credit origination and structuring capabilities, this is the most direct path. Tokenization doesn’t change the product, it changes the infrastructure that supports it.
And this change has a direct impact on cost, speed, and scale. It’s also worth mentioning that the tokenization of FIDC (Investment Funds in Credit Rights) is a concrete example of how this structure can be applied to complex credit vehicles within the Brazilian regulatory framework.
The Bank as a Distribution Platform
In this model, the bank uses its customer base and relationship capabilities to distribute assets structured by third parties, using its own digital platform as a channel.
The bank doesn’t need to be the issuer of everything it distributes. It can be the platform that connects qualified issuers to qualified investors, maintaining control of the relationship and capturing value in the distribution.
Este modelo é especialmente relevante para bancos que têm base de clientes robusta, mas não têm capacidade de estruturação de todos os produtos que seus clientes demandam.
Having its own digital platform, such as the one enabled by Whitelabel BLOCKBR, allows you to offer a complete range of products without having to issue them all internally.
The Bank as Infrastructure
This is the least conventional model, and the most strategic in the long term. In it, the bank makes its regulatory license, its compliance structure, and its network of relationships available as a basis for other agents to operate.
The bank is neither the issuer nor the final distributor; it is the infrastructure that enables others to do so safely and legitimately.
It’s a model that demands regulatory maturity, technological capability, and strategic clarity. But for banks with established licenses and robust operational capacity, it’s a way to capture value in the digital asset market without having to build a distribution network from scratch.
Each of these three roles already has real operational viability in Brazil by 2026. And each of them requires a specific infrastructure to be executed with scale, compliance, and efficiency. Choosing the role comes first, then choosing the infrastructure.
Innovation and true banking technology begin with choosing the right infrastructure.
Throughout this article, we have constructed a technical and analytical diagnosis of what is hindering, and what is enabling, real banking innovation and technology. Let’s recap the key points with the precision the topic deserves.
Organizational silos—innovation, brokerage, distribution, and investments—are the main obstacle to true banking transformation. This isn’t because people are incompetent, but because each area evaluates innovation based on its own incentives and risks, lacking an end-to-end view of the flow. Solving this problem is a matter of structure, not intention.
A comparison between the traditional model and the tokenized model reveals real and measurable structural advantages in operational cost, speed of structuring, compliance traceability, and distribution capacity. But these advantages only materialize with adequate infrastructure. Tools without infrastructure are projects without scale.
Regulation is an ally, not an enemy. Banks that treat the regulatory framework for digital assets as an obstacle are operating with a map that no longer corresponds to the territory.
A well-structured compliance program is what provides legitimacy for operating with digital assets at scale, attracting institutional investors, and protecting the institution from risks that could compromise years of built reputation.
The journey of true transformation has five stages: maturity diagnosis, role definition, infrastructure selection, pilot with real operation, and structured scaling. Each stage matters. Skipping them creates an illusion of progress without operational results.
And the three roles available to banks in the digital asset ecosystem—digital issuer, distribution platform, and infrastructure—are already operationally viable in 2026. The choice of which role to occupy is strategic and defines the infrastructure model that the institution needs to build or adopt.
BLOCKBR is an asset tokenization infrastructure for the regulated financial market that operates precisely at this intersection. Not as a consultancy, not as an off-the-shelf product, not as a promise of transformation in five clicks.
As a real infrastructure, with a legal, technological, compliance, and regulatory integration layer, it allows financial institutions to operate autonomously in the digital asset market, without having to build from scratch what already exists, is validated, and regulated.
BLOCKBR’s role is not to tell banks what to do. It is to ensure that when the decision to evolve is made—and it will be made, sooner or later, by any bank that wants to maintain its market position—the necessary infrastructure to execute it is already available, regulated, and operational.
If you’ve made it this far and recognized any of the bottlenecks described in this article within your institution, the next step isn’t a presentation to the board.
It’s about understanding in detail how a regulated digital financial infrastructure works in practice, and how it can be applied to your institution’s operating model. To do this, learn about BLOCKBR’s infrastructure and understand what’s available to you today.
Frequently Asked Questions about Innovation and Banking Technology
Why do banking innovation initiatives rarely reach the market?
Because the internal structure of banks wasn’t designed for speed. Innovation, brokerage, distribution, investments, legal, and compliance evaluate each initiative based on their own incentives and risks, without a complete overview of the workflow. The result is Proof of Concepts (POCs) that work in the lab but stall when faced with real-world operations.
How long does it take for a bank to build digital asset infrastructure internally?
For a medium-sized institution, a realistic estimate is 18 to 36 months just to reach the equivalent of the starting point for someone operating on an already regulated and integrated platform, with an investment between R$ 8 million and R$ 20 million considering technology, legal structuring, and regulatory maintenance.
Is Brazilian regulation for digital assets already consolidated enough for banks to take action?
Yup. The Brazilian Securities and Exchange Commission (CVM) and the Central Bank have made progress with clear regulatory frameworks for tokenization and digital assets. Banks that still treat the topic as a “regulatory gray area” are operating with outdated information. The problem is not regulation, but the internal updating of risk perception within the institutions.
How can a bank start operating with digital assets without building infrastructure from scratch?
By plugging its operations into an already regulated, tested, and integrated infrastructure with the necessary agents—securities brokerage, custody, KYC/AML, and registration—this model allows the bank to maintain focus on what it does best: origination, distribution, and investor relations, while the operational complexity is already resolved.
