Haia OS

Helping wallets, fintechs, and ecosystems govern, observe, and optimize onchain transactions before settlement. Non-custodial.

[Haia OS @haia_os]

Programmable money does not just need better rails. It needs an operator layer.

Stablecoins and onchain execution are moving from crypto-native products into wallets, fintechs, ecosystems, and software-triggered financial flows.

But enterprises cannot scale blind execution.

They need to see where users drop off.

They need to know why transactions fail.

They need policies before settlement.

They need audit trails.

They need measurable improvement.

HAIA is building the non-custodial Control Plane for onchain execution.

Govern it, observe it, optimize it - before settlement.

[Haia OS @haia_os]

54% of financial institutions that don't yet use stablecoins expect to adopt within 6-12 months.

77% of corporates name cross-border supplier payments as their top use case.

The demand is real. The roadmaps are being built.

AlphaPoint put the failure point in plain language in their 2026 enterprise guide:

"The stablecoin payment flow from fiat to stablecoin and back represents the critical integration point where many implementations fail."

Not the wallet. Not the blockchain. Not the stablecoin itself.

The flow.

Teams build the integration. They test it. They ship it. Then a payment drops and nobody knows where. A flow fails and the ops team spends hours diagnosing from logs that were never designed to explain execution.

The off-ramp breaks in a specific corridor. The policy blocks a specific transaction type. The user aborts at a specific step.

None of that is visible from "started / failed / completed."

77% of corporates are planning to move serious B2B volume through these flows. The implementation problem is not going away by itself.

Which part of your stablecoin payment flow has the least visibility today?

https://t.co/VSTqcGjqkJ

[Haia OS @haia_os]

Reason codes are one of the most underrated concepts in onchain execution.

In traditional payment rails, every failure has a code. Insufficient funds. Card expired. Velocity limit exceeded. Merchant category blocked. These aren't just logs , they're operational signals. They tell you exactly what fired, why, and what to do next.

Onchain execution mostly doesn't have this. When something breaks, you get a transaction hash and a status. Maybe an error message. Figuring out what actually happened , whether it was a route issue, a policy trigger, a user decision, or a connector failure, requires digging through multiple systems manually.

Reason codes change this. Instead of "transaction failed," you get "pre-sign abandonment fee exceeded user threshold." Instead of "policy block," you get "step-up triggered transaction amount above configured limit for this asset." Instead of "user abort," you get "signing abandoned after quote expiry - second attempt."

This changes debugging from investigation to diagnosis. It changes policy management from guesswork to audit. It changes product decisions from hypothesis to signal.

At Haia, reason codes are a core primitive , not an add-on. Every execution event gets context: why it stopped, where it stopped, what condition triggered it. That context is what turns execution data into something your product, ops, and compliance teams can actually act on.

[Haia OS @haia_os]

Building rails and operating them are two different problems.

The first decade of onchain finance was about rails. Move value between chains. Find liquidity. Reduce slippage. Minimize fees. Make settlement fast and cheap.

That problem is largely solved. There are excellent routing protocols, bridge aggregators, liquidity networks, and settlement layers. The infrastructure exists.

The second problem - operating the flows that run on those rails - has barely been started.

Operating means knowing where a flow dropped and why. It means having policies that fire before settlement, not after. It means reading failure distributions across chains, assets, and connectors. It means running a test, measuring the result, and improving the next flow based on what you learned.

A team that can route a transaction is not necessarily a team that can operate execution. These are different capabilities. They require different tooling.

Most teams today have invested heavily in the first. Almost none have invested in the second - not because they don't want to, but because the tooling to do it didn't exist.

Which problem is your team actually working on?

[Haia OS @haia_os]

Most crypto execution teams optimize the wrong thing.

They spend engineering cycles on liquidity depth, route efficiency, fee minimization. These matter. But they're optimizing the path , not the outcome.

The outcome is: did the user complete what they intended to do?

A transaction can take an optimal route and still fail to complete , because the fee appeared too late, because a policy fired without context, because the UX created uncertainty at the signing step. The route was fine. The execution broke somewhere else.

The teams that consistently improve completion rates track where users drop. They understand why policies fire. They can distinguish between a route failure and a user abort. They run structured tests before pushing changes.

We've seen a team spend three months optimizing routing performance , shaving milliseconds, improving path quality while a fee display issue was causing 30% of their pre-sign drop-off. The routing work was real. It just wasn't where the conversion was leaking.

Where does your team spend its execution engineering time?

[Haia OS @haia_os]

Day 1 with Haia: you map the funnel. Intent, quote, sign, execute, settle. Tag failure events, policy triggers, guardrail fires. Every execution step starts emitting readable data instead of a pass/fail.

Day 2: Haia shows you the distribution. Not "conversion dropped 3%" , but "fee shock is causing 41% of your pre-sign abandonment on Ethereum mainnet." That's the first time most teams see this number.

Days 3–5: you test the top recommendation. Shadow replay. A/B policy check. Route trial. You see what the change would have done against real execution history before touching production.

Days 6–10: implement, measure, track. Did the change hold? Did it create new edge cases?

The point of the first sprint isn't to fix everything. It's to run the loop once on one real flow, with your actual data and see what comes out.

After that, you own the process.

[Haia OS @haia_os]

Circle published their 2026 Internet Financial System report in January.

Three numbers stand out.

CPN - the Circle Payments Network - reached $3.4 billion in annualized volume less than eight months after launch.

Arc, Circle's purpose-built blockchain for financial institutions, now has over 100 companies across every region in its testnet.

Circle is in active discussions with Globally Systemically Important Banks on custody, treasury, collateral, and settlement.

The infrastructure is scaling faster than most teams expected.

Here is what the report does not address: what happens when a flow on that infrastructure breaks.

$3.4 billion annualized is not a small number. At that scale, every basis point of execution failure has a cost. Every failed flow is a reason code that most teams cannot read. Every dropped transaction is operating signal that most teams cannot act on.

Circle built the settlement network. Circle built the rails. Circle is signing the GSIB partnerships.

The operating layer - the one that governs what happens inside each flow before it settles - is not part of what Circle ships.

That layer has to be built separately. Most teams building on CPN have not started.

As your stablecoin volume scales, which part of execution becomes harder to see?

https://t.co/j5bEEQyA2Z

[Haia OS @haia_os]

There's a sequence that matters in execution operations, and most teams try to skip to the end.

You can't optimize what you haven't governed. You can't govern what you can't see. So the work has to start with observation clean signal on where users drop, where routes break, where guardrails fire, what the failure distribution looks like across chains and assets.

Without that baseline, governance is fiction. You write policies against a system you don't understand. You tune routes based on aggregate metrics that don't show you which connector is quietly underperforming on a specific asset pair.

Once you have the signal, governance becomes precise. You define what happens under what conditions. Step-ups trigger where they should. Blocks fire with logged context. Fallbacks activate on actual route failure, not guesswork.

And then (only then) does optimization have something to work against. You run a test. You measure whether the change held. You see the edge cases it created. You loop.

The teams that skip straight to optimization are the ones that run A/B tests and can't explain the results.

[Haia OS @haia_os]

Money is becoming software.

Not digital money - that's been true for decades. Software-mediated money: value that moves according to code, executes according to rules written in smart contracts, settles without requiring a human to approve each transaction.

When money becomes software, it inherits the properties of software. It can move at the speed of an API call. It can be programmed with conditions. It can execute autonomously, across chains, without geographic limits.

It also inherits software's failure modes.

Software fails in specific ways - at specific steps, under specific conditions, for specific reasons. It fails silently. It fails at scale. It fails in ways that aggregate metrics don't show.

Traditional financial infrastructure was built for a world where a human could intervene at each step. Approve the transaction. Review the policy. Escalate the exception.

Software-mediated money doesn't wait for that. It executes before anyone can intervene. Which means the operating layer - the one that governs what happens, captures what breaks, and improves the next execution - has to be built into the flow from the start.

The infrastructure that moves software-mediated money is being built. The infrastructure that operates it is not.

That is the gap.

[Haia OS @haia_os]

$35 trillion in stablecoin transactions in 2025.
$390 billion in actual payments.

That's 1%.

The rest - trading, internal transfers, automated processes moved through systems most teams cannot explain, classify, or improve.

B2B stablecoin payments grew 733% year over year. Monthly volume went from $5B in January 2024 to $30B by early 2026.

The money is moving. Fast. But here is what the report does not say directly: volume growth is not the same as operational maturity.

Teams can route transactions. Most cannot tell you where a flow dropped, why it failed, what policy triggered, or what to fix next.

Settlement confirms that money moved.

It does not tell you how to operate the execution that got it there.

The first era of onchain finance was about moving money. The rails are here.

The next era is about operating them.

→ @McKinsey + Artemis Analytics 2026 https://t.co/GQXXjPscBD

[Haia OS @haia_os]

Most execution infrastructure is built to move transactions. Almost none of it is built to understand them.

Wallets handle signing. Routers find paths. Compliance systems check rules. Liquidity providers fill orders. Each layer does its job and passes the transaction along.

But there's no layer that watches the whole flow, captures what happened at each step, understands why something broke, and feeds that back so you can improve the next one.

In backend systems, this is called a control plane. It sits on top of your data plane, adds observability, policy enforcement, and optimization without replacing the infrastructure underneath. You don't swap your stack. You make it visible.

Onchain execution doesn't have this yet. Teams are running live financial flows with production-grade stakes and minimal operational visibility.

Haia is that layer. Between intent and settlement. No custody, no key handling, no changes to how user-signed execution works.

You keep your rails. You get to see what's happening on them.

[Haia OS @haia_os]

Quick question for teams running onchain execution flows:

When a transaction fails or a user drops off — how long does it take your team to understand why?

We ask because this is consistently the most painful operational blind spot we hear about. Not the failures themselves — teams expect some failure rate. The pain is not knowing why, and not having a fast path to fixing it.

Drop your answer below. Curious to see where teams actually are on this.

[Haia OS @haia_os]

The first 5 minutes in crypto:

Write down 12 words, don't lose them, understand gas, approve tokens, pick a chain, hope nothing breaks

We're not making this easy enough 🤷

[Haia OS @haia_os]

Your users don't just abandon flows. They leave clues.

When a transaction drops, most teams see three things: started, failed, completed. That's it. No context. No signal. No idea what to fix.

But every abandoned execution has a reason. And it almost always fits one of four patterns:

Fee shock. The cost appears too late, after the user has already committed mentally. They see the number, balk, and leave. Your funnel just shows a drop-off.

Route failure. The path breaks before completion. Could be a connector issue, a chain condition, a liquidity gap. The user sees an error. You see a failure. Nobody knows where exactly it broke or why.

Policy block. A guardrail fires, correctly or not, and stops the action before settlement. No context surfaced to the user. No signal surfaced to your team. Just a silent stop.

User abort. The intent disappears without context. Maybe they second-guessed. Maybe the UX confused them. Maybe the timing was wrong. Nothing was captured.

The problem isn't that these things happen. They happen everywhere.

The problem is that most teams can't see which of these is killing their conversion, or where in the flow it's happening.

Onchain operators can already embed execution. However it is still complicated reliably manage it.

Execution failures cost conversion, volume, and trust. Unless you can see what to fix.

That's the gap we're building to close.

[Haia OS @haia_os]

Finding yield in DeFi:

> 2021: follow the right Twitter accounts
> 2024: check aggregators manually
> 2026: opportunities surface based on what you hold

Discovery should be intelligent, not exhausting

[Haia OS @haia_os]

Wallets went from "store your keys" to "store your assets"

The next step isn't adding more features

It's intelligence, knowing what you hold and helping you use it!

[Haia OS @haia_os]

gHaia to everyone who just wanted to send money and ended up reading documentation instead!

[Haia OS @haia_os]

How many clicks does it take to swap tokens in your wallet?

Now it's simple → one question.

"Swap 100 USDC for ETH".

Speed as it should be.

[Haia OS @haia_os]

Your portfolio is spread across five chains

Checking each one separately isn't multi-chain support, it's fragmentation

The deal is to put everything into one answer!

In that way, you can do everything in one place, much easier and simpler 😁