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How Real-Time Data and Automation Will Transform Post-Trade

By Phil Flood, Global Business Development Director of Regulatory and STP Services, Gresham

Regulatory momentum is only accelerating. From T+1 settlement and ISO 20022 adoption to evolving transparency regimes, cross-border payments reform and Basel III endgame, financial institutions face a constant stream of change. Yet many firms are still running post-trade and reporting workflows on legacy systems, batch processes, and siloed data. This is creating a widening gap between regulatory expectation and operational reality.
For years, compliance has been treated as a tactical exercise, racing to meet deadlines with manual workarounds and one-off fixes. The recent T+1 shift in the US provided valuable lessons, but for firms in the UK and Europe, the upcoming T+1 implementation changes the equation entirely. It is not just another regulatory mandate; it is a catalyst for transformation.
Beyond Compliance: T+1 as an Operational Catalyst
T+1 is often framed as a compliance deadline, but its true impact is operational. It offers firms a rare opportunity to modernise operating models, reduce friction, and gain a competitive edge through automation, data integrity, and real-time control. The shortened settlement cycle leaves little room for rekeying, spreadsheet interventions, or overnight batch processing. In a T+1 environment, every manual intervention is a potential settlement failure waiting to happen. Firms that can reconcile, confirm, and instruct in real time will thrive; those that cannot risk breaks, penalties, and reputational damage.
At the heart of T+1 success is data integrity. Accurate and timely trade, position, and cash data become mission-critical. Platforms such as our Control solution help institutions maintain that discipline, instantly detecting mismatches, enabling real-time exception handling, and driving straight-through processing (STP) at scale.
Preparation for the UK/EU T+1 implementation, currently slated for October 2027, must start now. Delaying preparations until 2026 risks missing industry testing windows, implementation milestones, and the chance to resolve structural breaks ahead of time. Early investment not only mitigates operational risk, but also reduces long-term costs.
What Future-Ready Looks Like
Preparing for T+1 and a more data-driven post-trade environment requires more than incremental tweaks. Firms that want to be future-ready must build processes and technology around several key areas:
1. Be data-centric – Start at the core. Harmonise, validate, and control trade, position, and cash data across all systems. Real-time reconciliation and exception management rely on a single, trusted source of truth. Without it, automation and AI cannot deliver meaningful impact.
2. Automate aggressively – Identify manual touchpoints and replace them with automated workflows. From trade capture and enrichment to reconciliation and regulatory reporting, every repeated human intervention is a potential delay or error. Automation reduces operational risk and frees teams to focus on strategic decision-making.
3. Design for real-time – Settlement cycles are compressing, and batch processes are increasingly incompatible with market demands. Real-time confirmation, instruction, and exception handling should be built into the operating model, ensuring firms can reconcile, confirm, and instruct within compressed timelines without sacrificing accuracy.
4. Build modular, cloud-ready platforms – Flexibility is no longer optional. Modular systems allow institutions to adapt quickly to new market requirements or regulatory changes, scale efficiently, and integrate with external utilities or new market venues. Cloud-enabled solutions also provide agility, resilience, and the capacity to process and transform large volumes of data in real time.
5. Apply AI intelligently – Once data is harmonised and workflows are automated, AI and machine learning can enhance operations by accelerating enrichment, detecting anomalies, and predicting exceptions. The key is that AI optimises on top of a solid foundation; without clean, trusted data, even the most advanced algorithms will underperform.
By embedding these principles, firms can turn regulatory compliance from a reactive, cost-heavy obligation into a foundation for operational resilience, competitive advantage, and scalable post-trade operations. Future-ready firms see problems before they happen, act in real time, and continuously evolve without disruption.
The Road Ahead: An Inflection Point
The industry is now at a clear inflection point. T+1 is not the finish line; it is the catalyst for transformation. Firms now face a strategic choice: continue to patch systems and manage by exception, or fundamentally rebuild their operational foundation around real-time data and automation. The first path is one of diminishing returns, mounting costs, and permanent operational risk. The second is the only viable path to resilience, efficiency, and future growth. This isn’t just about surviving the next regulatory mandate; it’s about building the operational model that will define market leaders for the next decade.

 

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