Blog - June 02, 2026
Future-Proofing Corporate Actions: Driving ROI Through Reimagined Data & Intelligent Automation
Corporate actions are entering a new phase of evolution.
Rising event volumes, broader asset coverage, and faster market cycles are exposing the limits of legacy operating models. What firms once managed through manual controls, fragmented systems, and institutional knowledge is now constraining scalability, increasing operational risk, and impacting client experience.
In a recent webinar hosted by S&P Global Market Intelligence, “Future Proofing Corporate Actions: Driving ROI Through Reimagined Data & Intelligent Automation”, Swapnil Gupta moderated a discussion with Rowan Hamilton and Konstantin Yfantis (UBS), focused on how firms can future-proof corporate actions across data, workflows, and automation.
The conclusion was clear: future-proofing corporate actions is no longer an incremental improvement, it is an operating model transformation.
Why Future-Proofing Has Become Urgent
On the surface, corporate actions appear to have evolved over the past decade. Investment has increased, tooling has improved, and market standards have progressed.
However, the reality across many institutions remains consistent:
- Multiple data sources feeding a single process
- Heavy reliance on manual validation and reconciliation
- Reactive, exception-driven workflows
- Fragmented processes across teams and platforms
At the same time, the nature of corporate actions has fundamentally changed.
Volumes have grown - not only because there are more securities, but because each security generates more events. Equities now experience higher event frequency, including recurring ETF distributions, while fixed income has evolved beyond predictable lifecycle events into more complex and varied event types.
When combined with the growing need to support funds and derivatives, the pressure on existing infrastructure becomes clear.
Yet much of that infrastructure is still designed for a simpler, equity-focused environment and it is increasingly showing strain.
The Real Challenge: Complexity + Market Practice + Lack of Standardization
A key theme from the discussion: structured messaging alone will not solve corporate actions complexity.
While the industry continues its transition from ISO 15022 to ISO 20022, corporate actions still move through a multi-layered intermediary chain - issuers, agents, custodians, CSDs, and downstream participants. At each stage, information is often interpreted, reformatted, or supplemented.
As a result, firms are not simply processing corporate actions - they are continuously reconstructing a reliable version of each event.
Market practice remains a major challenge:
- Variations in templates and interpretation across markets
- Local conventions that do not align cleanly with global standards
- Inconsistent documentation requirements
- Added downstream complexity, including beneficial owner reporting
Even where standards exist, true end-to-end straight-through processing remains difficult without additional intelligence, validation, and governance.
This leads to a critical conclusion: the problem is not just data - it is how that data is managed across the lifecycle.
A Future-Ready Model Starts with One Big Shift: Lifecycle Thinking
The most important transformation discussed is the shift from task-based processing to lifecycle-based management.
Future-proofing requires moving from fragmented, step-by-step processes to a fully integrated lifecycle model.
In this model, “good” looks like:
- A single, validated golden record for each corporate action
- End-to-end visibility across the full event lifecycle
- Automation operating in the background, with clear exception handling
- Real-time insight into event status - not just batch outputs
This lifecycle approach enables institutions to scale efficiently in an environment defined by shorter cycles, extended trading hours, and growing real-time expectations.
Data & Software Can’t Be Treated as Separate Worlds
Many firms still approach corporate actions data and corporate actions software as separate domains. In reality, neither can deliver transformation in isolation.
The future state is an integrated ecosystem where data and workflows operate together as a single, connected capability.
This includes:
- High-quality event capture and normalization
- Integration with positions and instrument data
- Election and instruction workflows that eliminate reliance on email and spreadsheets
- Configurable service levels aligned to client segments
- End-to-end auditability and traceability
Importantly, this ecosystem extends beyond core equity events to encompass the broader corporate actions landscape:
- Derivatives lifecycle impacts
- Tax-related enrichment
- Reference data updates
- Parallel support for ISO 15022 and ISO 20022 during transition periods
The takeaway: corporate actions can no longer function in silos - they must operate as part of a connected, enterprise-wide model.
Where AI Fits: Practical Value Today, Bigger Shifts Ahead
AI is now firmly on the strategic agenda, but its role in corporate actions must be pragmatic and value-driven.
AI should not be layered indiscriminately across processes. Instead, it should be applied where it delivers measurable improvements in efficiency, accuracy, and scalability.
Where AI is already helping today
- NLP for unstructured announcements, converting issuer disclosures into structured, workflow-ready data
- Machine learning-assisted conflict resolution with confidence scoring based on historical patterns
- Contextual copilots that improve user efficiency and consistency in decision-making
Where AI is heading next:
The next phase is the evolution toward agentic AI - systems that do not just recommend actions but execute them within predefined controls.
This introduces a fundamental shift in the operating model:
- From humans in the loop (manual processing)
- To humans on the loop (supervising automated execution)
A useful analogy: corporate actions operations are evolving toward an air traffic control model - automated systems handle routine flows, while humans intervene only when judgment and oversight are required.
Client Experience Is Becoming a Competitive Differentiator
Future-proofing corporate actions is not just about internal efficiency - it is also about transforming client interaction.
Client expectations are rapidly evolving:
- Faster notifications and clearer communication
- Reduced ambiguity around elections and deadlines
- Simpler, more intuitive user experiences across client segments
Where communication remains email-driven or dependent on fragmented portals, operational risk increases - particularly in instruction capture and processing.
Moving toward structured digital elections and standardized communication channels reduces both operational burden and client-facing errors.
Corporate actions may appear commoditized - but they become highly visible when they fail. Improving the client experience is therefore both a risk mitigation strategy and a competitive advantage.
The ROI Question: Where Value Shows Up Fastest
ROI in corporate actions transformation is not theoretical - it is realized quickly when foundational inefficiencies are addressed.
The fastest gains typically come from:
- Operational efficiency – reducing manual touchpoints
- Risk and control – minimizing errors and interventions
- Client experience – improving clarity and responsiveness
The single biggest accelerator of ROI is the creation of an authoritative corporate actions data core (ACU).
Without it, teams duplicate effort across systems. With it, firms establish a consistent, validated “golden source” that simplifies every downstream process.
When data and workflows are aligned across the lifecycle, firms benefit from:
- Reduced manual effort
- Improved scalability without additional headcount
- Higher straight-through processing rates
- Enhanced auditability and control
The key takeaway: real ROI comes from removing friction across the entire lifecycle - starting with the data core.
To summarize, future-proofing corporate actions means building a model that can handle:
- Higher volumes
- Increased complexity
- Faster settlement cycles
- Digital client expectations
- Stronger governance and control requirements
The path forward is clear:
- Treat data as a real-time managed asset
- Build a central corporate actions data core (ACU)
- Integrate workflows end-to-end
- Shift human roles from processing to supervision through automation
- Focus ROI on efficiency, risk reduction, and client outcomes
Firms that act now will not just modernize operations, they will build a scalable, resilient capability for the future of capital markets.
