Reflections from InvestOps Europe 2026 on T+1, investment data and modular architecture
Reflecting on my trip to London in September, where I attended the InvestOps Europe conference, three themes stood out for me, and I think they are more closely connected than they first appear.
What do T+1 and 23x5 processing mean for investment operations?
T+1 settlement, where transactions settle one business day after the trade date, is creating a very practical challenge: there is much less time to get everything done.
Investment operations teams still have to complete reconciliations, data quality checks, exception management and controls, before producing a trusted, signed-off investment book of record. Under T+1, teams need to complete all of this within a significantly compressed timeframe.
Some organisations are already well down this path, especially those trading in US markets, where T+1 has been in place since May 2024, creating particular challenges for firms operating across different time zones.
The UK and EU are due to follow in October 2027, which means there is considerable change ahead across operating models, technology and processes.
At the same time, US markets are moving towards 23x5 trading, with Nasdaq due to introduce 23x5 trading in December 2026. For firms participating in these extended trading hours, investment data will need to be managed and processed almost continuously, 23 hours a day, five days a week.
Together, shorter settlement cycles and longer trading hours are putting greater pressure on investment operations to automate processes, resolve exceptions quickly and have trusted data available when it is needed.
Investment data and AI
From an AlphaCert perspective, the most interesting theme was the growing focus on access to accurate, consistent and validated investment data.
The issue itself is not new, but AI is putting it under a magnifying glass. As AI becomes embedded in front and middle office processes, disparate datasets, inconsistent definitions and multiple versions of the same information quickly become a constraint.
Having a centralised source of truth is an important foundation, but the data within it also needs to be accurate, complete and fit for the business processes that rely on it.
Who is raising these issues is changing too. Responsibility for managing investment data has historically sat mostly with technology and operations teams. Now, data quality and availability are increasingly being raised directly by the front office and by teams responsible for investment operations, compliance and regulatory reporting.
Modular architecture
Modular architecture was another term we heard during the conference and the concept is compelling.
It means building an investment technology ecosystem where best-of-breed solutions can be plugged in to solve specific business problems, without every change turning into a major transformation programme.
What struck me was the renewed focus on modular architecture. The philosophy itself is not new. We have long called it integrated best-of-breed, and it has been fundamental to how AlphaCert is designed.
AlphaCert is modular by design. Individual capabilities can be deployed on top of a trusted investment data foundation. Our open data architecture and API-based interfaces make it straightforward to get data in, put it to work and get it out again.
How the three themes connect
For me, these themes belong together. Shorter processing windows need more automation. AI makes trusted data more important. Modular architecture gives investment managers a way to add new capabilities without repeatedly replacing their technology estate.
What stood out at InvestOps Europe was how closely these discussions reflected the practical challenges investment managers face today. The direction of travel is clear: more automation, greater demands on data, and technology that can adapt as requirements change.
Frequently asked questions
A few practical questions came up repeatedly in my conversations at InvestOps Europe
What does T+1 mean for investment operations?
T+1 means securities transactions settle one business day after the trade date, rather than two. The shorter settlement cycle gives investment operations teams less time to complete reconciliations, data quality checks, exception management, funding and other post-trade processes, increasing the need for timely data and automation. T+1 has been in place in the US since May 2024, with the UK and EU due to move to T+1 in October 2027.
Why does AI make investment data quality more important?
As AI is embedded in front and middle office processes, disparate datasets, inconsistent definitions and multiple versions of the same information quickly become a constraint. AI can process and use data at speed across multiple workflows, meaning an error in the underlying data can be amplified across downstream processes and outputs. It makes it even more important that every data domain is accurate and complete enough for the processes that consume it.
What is modular architecture in investment technology?
Modular architecture allows best-of-breed solutions to be plugged into an investment technology ecosystem to solve specific business problems, without every change needing a major transformation programme. AlphaCert has long described this approach as integrated best-of-breed.
How does AlphaCert support a modular investment technology ecosystem?
AlphaCert is modular by design, with individual capabilities that can be deployed on a trusted investment data foundation. Its open data architecture and API-based interfaces are designed to make it straightforward to get data in, use it effectively and get it out again.