What Post-Trade Infrastructure Really Needs to Be Ready for T+1

Across the EU, Switzerland, and the UK, the October 2027 deadline to shorten the securities settlement cycle from two days (T+2) to one (T+1) is looming. As firms work to prepare, the operational shifts demanded by T+1 are highlighting the fundamental role verifiable organizational identity plays in enabling faster, safer, and more efficient settlement — as well as broader opportunities to transform post-trade functions.

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Are firms ready for the transition to T+1 settlement in October 2027? The fact that many – particularly in the fund business – still rely heavily on fax to send settlement instructions suggests otherwise.

Though the enduring use of fax is emblematic of outdated post-trade operations that urgently require digitalization, the T+1 readiness gap is not primarily a technology problem. It is an underlying data problem.

Why instruction and data quality hold the key to T+1

When we talk about T+1 readiness, the goal for most firms is a very high straight-through processing (STP) rate. This means full automation from execution through confirmation, matching, and settlement, with no manual intervention.

It is undoubtedly the right goal. But the path to STP runs through a problem that receives less attention than the technology required to achieve it: the quality of the instructions being submitted and the data within them.

In a T+2 world, issues stemming from incomplete instructions, minor formatting discrepancies, missing enrichment data, and mismatched identifiers were often manageable. Operations teams had time to catch exceptions and resolve them before the settlement deadlines passed, without manual intervention.

That buffer disappears under T+1. To avoid failed settlements, instructions must arrive early and be complete and accurate the first time, every time. And the data embedded in those instructions — including the entity identifiers that tell the matching system who is on each side of a trade — needs to be standardized, up-to-date, and globally consistent.

That is precisely what the Legal Entity Identifier (LEI) provides. As a globally recognized, unique identifier for legal entities already embedded in regulatory reporting across more than 100 jurisdictions, the LEI provides post-trade systems with a common reference point for counterparty identification across institutions, borders, and asset classes. Its digital counterpart, the verifiable LEI (vLEI), allows counterparties to verify who within an organization is authorized to act computationally, and in what capacity.

Given their ability to ensure high-quality instructions, the LEI and vLEI are a fundamental enabler of T+1 settlement — supporting safer, faster, and more efficient transactions while also providing firms with a trusted foundation to enhance post-trade operations and functions.

From reporting what happened to anticipating what will

The better instruction and data quality demanded by T+1 enables firms to establish a different relationship with data altogether.

Post-trade functions have historically operated in hindsight: transactions occur, data is generated, and reports are produced. Now, there is an opportunity to give firms real-time visibility into the quality and status of their own settlement data, with predictive tools surfacing potential problems before they fail, enabling rapid exception handling.

And as the operational dependencies of T+1 extend well beyond settlement itself, there are also wider benefits. For instance, firms can know in advance where liquidity will be required and where collateral needs to be allocated.

Part of what makes this practically achievable now is the application of artificial intelligence to post-trade data. Natural language interfaces allow clients to interrogate complex settlement datasets without needing specialized technical skills — asking questions of their own data in plain language and receiving answers they can act on immediately.

But for this proactive approach to be effective, the underlying data must still be reliable. Predictive tools built on inconsistent reference data will produce incorrect predictions. But when the data foundation is sound, the operational possibilities are genuinely transformative.

A different kind of trust layer

With post-trade operations also prime for digitalization, the vLEI in particular has significant potential to streamline platform onboarding and improve access, thereby increasing trust in transactions.

As Clearstream demonstrated at the Global vLEI Hackathon, the vLEI can serve as a secure login standard for post-trade platforms. For platform access, the entity logging in to submit a settlement instruction can be verified not only as a known counterparty but also as a verified representative of a verified organization, acting within a confirmed scope of authority. That verification happens computationally, without manual checks, and is consistent across borders.

This has significant benefits for cross-border settlement. Counterparties operating under different legal and regulatory regimes currently rely on bilateral arrangements to establish trust. The vLEI provides an alternative: a shared, independently governed trust layer that any institution can rely on, regardless of its location or the legal system under which it operates. What was once negotiated separately for each relationship becomes part of the infrastructure itself.

T+1 is the milestone. T+0 is the direction

October 2027 is the target for T+1 across the EU, Switzerland, and the UK. But if settlement efficiency continues to improve — if STP rates rise and exception handling becomes fast enough — the logical endpoint is T+0, meaning same-day settlement, at scale, across asset classes and borders.

High-quality data builds the trust that makes this possible. Trust is not an abstract principle in the context of post-trade operations — it is a precise description of what makes settlement work and underpins what T+1 readiness means. Recognizing organizational identity as an enabling infrastructure means that this trust can be hardwired into every transaction.

Data and the verifiable identity on the road to T+1

What T+1 readiness actually demands from post-trade data infrastructure, why instruction and quality remains the most underestimated bottleneck in straight-through processing, and how verifiable organizational identity is being applied to post-trade platforms — from real-time settlement analytics to secure counterparty authentication — were at the heart of my recent Trust Talks conversation with Eva- Maria Keller, Head of Data, Channels and Digital Operations at Clearstream, part of Deutsche Börse Group.

We explored why the shift from hindsight reporting to predictive post-trade operations changes what firms can actually do before a settlement fail occurs, how Clearstream's Next Data Suite is putting that capability into practice, and what it means for the industry to have a shared, computationally verifiable trust layer for cross-border settlement.

Listen to the full Trust Talks episode to explore what the road to T+1 — and beyond — really requires, and why the data behind every settlement instruction matters as much as the technology processing it.

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