A Case for Crypto as a Service and Why Crypto Products Fail in Production
- Apr 24
- 6 min read
Written by Nicolas Grebenkine, CEO of Aetsoft
Nicolas Grebenkine is CEO of Aetsoft, an emerging tech software services company. As an investor and an entrepreneur, he’s launched 10+ products across AI, blockchain, fintech, and sustainable energy. Recognized in international accelerators, he now helps startups attract venture capital and scale globally.
When a fintech decides to add crypto features, they have to choose between crypto as a service and internal crypto development. We’ve built over 80 cryptocurrency projects, and we believe that for most fintechs crypto as a service is a better model. Let’s unpack that.

Why internal systems work in testing but fail in production
Think of a fintech that decides to add crypto trading to its product. They build an internal product and at first it looks good. Users should be able to hold digital assets, buy and sell a few tokens, and move funds in and out easily. On paper, everything looks good.
Then the system goes live. Suddenly, the support is flooded with cases no one modeled for. A user passes onboarding but gets blocked when trying to withdraw. A trade quote is valid when shown, then fails at execution because the market moved. Gas costs spike and break a flow that assumed predictable fees. A payment arrives before the on-chain leg is ready.
Nothing has failed in a technical sense, but the product clearly doesn’t work like a coherent system. Even if the company fixes the issues, users already don’t trust the fintech, and it’s not easy to earn that trust back.
It’s common for fintechs to add digital assets as an extra feature. But if it's done well, it’s also common to fail. The problem is not that crypto infrastructure is immature. The problem is that most teams frame the task incorrectly from the start.
We are solving the wrong problem
Most teams approach crypto as an integration task. They ask which crypto wallet development company to use, which liquidity source to connect, and how to add compliance checks around the flow. Those are reasonable questions, but they do not address the underlying issue.
The real challenge is not how to add crypto features. It is how to make a multi-step financial system behave reliably under volatile conditions. Crypto introduces its own timing, cost structure, failure modes, and control requirements. If the product is designed as a set of integrations, those constraints appear late, after the architecture is already set.
Why early success is misleading
Early success often gives false confidence. A pilot may look good on paper because it runs with limited asset coverage, low traffic, narrow user flows, and close manual oversight. Under those conditions, weak coordination between components may be hidden.
So what’s changed in production? Transaction volume rises. Asset coverage expands. User behavior becomes less predictable. Liquidity varies across venues. Fees move. Compliance rules apply differently across jurisdictions and transaction types. What looked like a reliable product in testing turns out to be a system that only worked inside a very narrow use case.
The integration illusion
A useful name for this problem is the integration illusion. It is the belief that if wallets, liquidity, compliance, and payment rails all work individually, the product will work as a whole.
That assumption breaks quickly. A wallet provider can expose balances and sign transactions, but that does not mean the wallet layer supports the digital asset custody logic. A liquidity provider can return a valid route, but that does not mean the trade fits settlement timing, approval policy, or transaction controls.
A compliance tool can flag risky behavior, but that does not mean the product knows how to recover the user flow once the flag appears. Several connected parts do not automatically make a system.
Why current approaches do not solve it
When failures appear, teams often respond by adding more tools. Another liquidity provider improves coverage. Another monitoring layer improves visibility. Another wallet integration patches a product gap. Each addition solves a local issue.
At the system level, however, the result is usually more fragmentation. More providers mean more assumptions about state, timing, data structure, and error handling. The product gains optionality, but loses coherence. Local improvements make the global system harder to control. Developers stay busy keeping the product afloat, but the underlying reliability problem doesn’t go anywhere.
Why the problem is becoming more critical
This issue matters more now because crypto products are moving closer to core financial infrastructure. A few years ago, many firms could treat crypto as a limited experiment. Asset support was narrow. Cryptocurrency was a new thing, and there wasn’t a lot of strong competition.
It’s different now. It’s not enough to just offer crypto. Firms want wider asset access, faster execution, and tighter control over risk. Users expect cryptocurrency products to behave like other financial products. At the same time, infrastructure is becoming more fragmented across chains and liquidity venues.
So to build a crypto product today, it has to be strong from the start. Systems built on simple integration logic are now being asked to operate under conditions they were never designed to absorb.
How real systems actually operate
In production, crypto flows are not isolated actions. They are coordinated chains of dependency. A simple asset purchase may involve user authentication, payment confirmation, wallet creation or wallet access, route selection, gas handling, transaction simulation, compliance checks, settlement, and ledger updates.
Each step depends on the others. A routing decision affects settlement behavior. A wallet model affects approval logic and gas handling. A compliance rule affects whether a route can be used at all. These dependencies define how the system operates. That is why crypto products cannot be evaluated simply as a collection of modules. They have to be understood as operating systems with linked constraints.
The root cause is architectural
The core failure is architectural fragmentation. Key decisions are spread across layers that do not share enough context.
The wallet layer manages addresses and signing. The execution layer manages routes and quotes. The payment layer manages incoming and outgoing funds. The compliance layer reviews activity and risk. Each layer makes sense on its own, but none has full control over the full transaction lifecycle.
This is why production failures often look inconsistent. One transaction succeeds while another similar one fails. A flow works for one region but not another. A quote can be shown, but not executed cleanly. They are the symptoms of a system that lacks a unified control layer.
A different approach
The alternative is not to build every component internally. The better approach is to design around orchestration rather than integration.
Orchestration means there is a control layer that governs how custody, execution, compliance, and payment events work together. It gives the system a shared view of transaction state. It makes execution policy-aware. It aligns wallet behavior with the product model. It treats failure handling as part of the design, not as an exception.
The issue is no longer whether the right tools are connected. The issue is whether the full flow remains coherent under production conditions.
That’s why Aetsoft offers crypto as a service
Crypto as a service is a way to impose system-level coordination on a fragmented stack. A strong crypto as a service model should do more than expose wallets, trading access, and compliance features. It should connect them inside one operating logic. Wallet behavior should reflect custody and governance requirements. Execution should account for policy and settlement constraints, not only price. Compliance should shape the flow before it breaks, but it often only happens after risk is detected.
That is the real value of crypto as a service. The best crypto as a service providers, like Aetsoft, already have a working system. Their solution reduces the architectural burden on the product team and makes crypto functions behave more like a production system. The practical response is to redesign around orchestration. That’s why crypto as a service is so useful strategically. Fintechs can make crypto infrastructure behave like a real financial system from the start.
Read more from Nicolas Grebenkine
Nicolas Grebenkine, CEO of Aetsoft
Nicolas Grebenkine is an entrepreneur, blockchain pioneer, and CEO of Aetsoft. Starting as an Investment Manager, he built expertise in spotting opportunities for emerging technologies: AI, blockchain, IoT. He has overseen the creation of 10+ in-house products, several featured in international accelerators. He now leads Aetsoft, a software company that delivers complex emerging tech solutions for enterprises and startups.










