A Steady Phase Brings a Different Kind of Challenge

Here's what most Tech companies need to learn

Things have been steady on the business side lately. Discovery calls continue to come in at a healthy pace, and the growth feels sustainable rather than rushed or chaotic.

That kind of steadiness brings its own responsibility, because it forces you to be intentional instead of reactive.

The real challenge right now is not a lack of work. It is focus. There are several promising directions we could pursue, especially as cross-border fintech activity increases in India, but chasing every opportunity usually creates more noise than progress.

Staying grounded and choosing deliberately matters more than doing everything at once.

What keeps this balance intact, more than anything else, is communication. Clear internal alignment prevents burnout, and clear external communication keeps momentum without confusion.

When communication slips, even good growth starts feeling heavy.

That observation ties directly into a mistake I see IT teams make far too often.

“We Don’t Store Data” Is Not the Same as “We Don’t Have Responsibility”

Many IT teams operate under a comforting assumption. They believe that if they do not store customer data long-term, then data-related rules do not meaningfully apply to them.

That assumption is risky.

From a legal and compliance perspective, storage is not the only trigger for responsibility. If data touches your system, even briefly, obligations already exist. The duration does not matter nearly as much as teams assume.

This misunderstanding shows up most clearly around failed transactions and system errors.

When a transaction fails, it often feels harmless on the surface. No settlement happens. No money moves. Nothing appears to have “completed.”

But failures leave trails. Logs are created. Timestamps are recorded. System responses are stored. User behaviour is captured, even if the transaction never reaches completion.

Regulators care deeply about those trails.

During audits, authorities do not only ask what worked. They ask what failed, how often it failed, and whether patterns were identified and addressed.

In many cases, failure data tells them more about a system’s reliability and controls than successful transactions ever could.

This is where teams start feeling exposed.

The Real Problem Is Not Bad Intent. It’s Undefined Ownership

Most teams do not end up in trouble because they acted irresponsibly. They end up there because ownership was never clearly defined.

Simple questions suddenly become very difficult to answer.

Who is responsible for retaining failure logs? Who ensures those logs are accurate and complete? Who responds when a regulator or enterprise client asks for records from two or three years ago?

Even more importantly, who decides how long this data is retained and when it can be deleted?

When contracts are silent, responsibility spreads. Everyone touches the problem, but no one owns it fully. Silence does not reduce risk. It distributes it in the worst possible way.

I see this pattern frequently with IT providers who position themselves as connectors, processors, or “just the pipe.” They do not hold balances.

They do not settle funds. They do not maintain customer accounts.

Operationally, that distinction makes sense. Legally, it does not erase responsibility.

Data still flows through their systems. Requests are received. Responses are generated. Errors are logged. That interaction alone is enough to create obligations around handling, retention, and access.

The moment data touches your system, even temporarily, you are part of the compliance story whether you intended to be or not.

The Fix Is Simple, But It Requires Discipline

The solution is not complex, but it does require honesty and discipline.

Start by being honest about data touchpoints, not just data storage. If your system sees it, processes it, or logs it, that matters.

Define ownership clearly, including for failed, incomplete, or reversed transactions.

These are the areas that get scrutinized first during audits.

Align data retention clauses with what your systems actually do, not what feels convenient or optimistic.

If logs exist for years in practice, contracts should reflect that reality.

Most importantly, make sure clients understand these boundaries upfront. Surprises during audits damage trust far more than firm but transparent rules ever will.

Data does not lose importance just because money did not move. A failed transaction is still an event, still a record, and still a potential compliance question waiting to be asked later.

When teams ignore this, small failures quietly accumulate into uncomfortable conversations. By the time someone asks for records, the real issue is no longer the failure itself. It is the absence of structure around it.

Final Thoughts

Not storing data does not remove responsibility if data touches your system. Failed transactions still create logs, records, and compliance obligations.

Clear ownership, retention rules, and upfront communication prevent small failures from turning into regulatory problems later.

If your system touched the data, you need rules around it. Ownership, retention, and access cannot be left implied or informal.

Get those boundaries right early, and failures remain manageable. Ignore them, and even minor issues can turn into very difficult questions years later.

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