A shift in what operations really means
At InvestOps this year, a consistent theme emerged across discussions. Investment operations is no longer judged only on efficiency. It is now shaping client experience, operational control, and a firm’s ability to compete.
Three themes stood out. Operations is becoming more strategic, no longer sitting behind the business but directly influencing speed to market and service quality. Data remains the point of friction, with fragmented systems and manual workarounds making consistency difficult. And client expectations continue to rise, with investors expecting accurate, timely information across every touchpoint.
These themes matter because most firms have already taken the obvious cost out of their operating model. The next stage is not about trimming around the edges. It is about building a stronger foundation for how data, content, and delivery work together.
Why this matters more than ever
That shift is not just operational, it is commercial.
In institutional markets, client relationships are always under review. Performance still matters, but it is not the only measure. Reporting quality, transparency, and the overall experience of working with a firm all shape whether assets stay or go.
Our research found that 42% of institutional investors would divest because of poor reporting. Even strong performance may not protect a mandate if the client experience is inconsistent or frustrating.
For investment managers, this has a direct impact on revenue. Assets under management drive fees. When assets leave, revenue falls with them. Retention is not separate from growth, it is part of it.
This is why operations is now being treated as a strategic function. It directly influences whether firms can deliver the level of experience clients expect, and whether they can do it consistently at scale.
The real challenge: Fixing the data foundation
For many firms, the biggest obstacle is still data.
Years of product launches, acquisitions, and system changes have left businesses with fragmented data estates. The same fund can be described differently across platforms. Teams maintain their own versions of information. Spreadsheets fill the gaps. Manual checks become part of the process.
The result is familiar. Delivery slows down. Errors become harder to catch. Automation becomes harder to trust. Teams spend time fixing avoidable problems rather than improving the client experience.
The firms making real progress are addressing this first. They are building a governed data and content layer between source data and client-facing outputs. That creates a clear structure for how information is created, approved, managed, and reused.
When data is defined once and controlled properly, it can be used consistently across factsheets, reports, websites, and portals. Updates flow through in a controlled way. Risk comes down. Delivery becomes faster because teams are no longer recreating or correcting the same information in multiple places.
Automation only works if the foundation is right
This is also why many conversations about automation fall short.
Automation is often presented as the answer, but it only works when the underlying data and processes are sound. Automating poor-quality data or unclear workflows simply scales the problem.
The better approach is straightforward. Get the foundation right first. Clean up the data. Define ownership. Remove ambiguity from the process. Then automate the work that benefits most from consistency and scale.
Done properly, this changes the role of operations teams. Their time shifts away from repetitive production and towards oversight, exceptions, and continuous improvement.
Rising expectations and the need for control
At the same time, expectations are increasing.
Clients expect a seamless experience across reports, websites, and portals. They do not see internal systems or teams, they expect consistency. That expectation will only grow as markets move toward more real-time access to information.
In that environment, disconnected processes quickly become visible. Small inconsistencies erode trust, and once trust is lost, it is difficult to recover.
This is why many firms are rethinking their operating model. Rather than relying on separate tools or one-off fixes, they are moving toward joined-up systems where data, content, and delivery work together. Many are adopting hybrid models, keeping control of core data and client experience while using external partners to add scale or expertise.
What ultimately matters
What matters most is control over the layer that clients actually experience. If that layer is fragmented, the firm feels fragmented. If it is consistent, timely, and well-governed, the firm feels more capable and more trustworthy.
Ultimately, the firms that succeed will treat data and operations as strategic assets. With a strong foundation in place, everything else becomes faster, safer, and easier to scale. Those that delay risk falling behind in a market where speed, accuracy, and digital experience define success.
FAQs
- Why are investment operations becoming more strategic?
Investment operations now shape how quickly firms deliver, how consistent their outputs are, and how clients experience their brand. They are no longer just about efficiency. They directly influence client retention, risk, and revenue.
- Why is client experience as important as performance?
Performance wins mandates, but experience keeps them. Poor reporting or inconsistent communication can lead to asset loss, even when returns are strong. Client experience is now part of how firms are evaluated.
- How does poor reporting impact revenue?
Revenue is tied to assets under management. If clients leave due to poor reporting or inconsistent data, revenue drops immediately. This makes reporting quality a commercial risk, not just an operational issue.
- What is the biggest barrier to improving operations?
For most firms, it is fragmented data. Multiple systems, inconsistent definitions, and unclear ownership make it difficult to automate and increase the risk of errors.
- What does a “single source of truth” actually mean?
It means data is defined, validated, and approved once, then reused across all outputs. Reports, websites, and portals all draw from the same governed dataset, ensuring consistency and control.
- Why do automation projects often fail?
They fail when firms automate poor data or unclear processes. Automation only works when data is clean and workflows are well defined. Otherwise, it increases the scale of existing problems.
- How is AI changing investment operations?
AI is moving beyond task automation. It now supports workflow orchestration, exception handling, and decision support. This allows teams to focus on oversight, risk, and control rather than manual processing.
- What are clients expecting from digital experiences today?
Clients expect accurate, up-to-date information at all times. They also expect consistency across reports, portals, and other channels. Any discrepancy reduces trust and increases scrutiny.
- Why are firms moving to hybrid operating models?
Firms want to retain control of their data and client experience while still accessing external scale and expertise. Hybrid models provide flexibility without losing ownership of critical systems.
- How does Kurtosys support this shift? Kurtosys connects investment data into a governed layer and controls how it is delivered across reports, websites, and portals. This improves consistency, reduces manual effort, and lowers operational risk while supporting better client outcomes.
