The Securities and Exchange Commission’s Treasury clearing reform represents one of the most consequential market structure changes in recent years. In December 2023, the SEC adopted rules requiring covered clearing agencies to establish policies and procedures designed to ensure that direct participants centrally clear eligible secondary market transactions in US Treasury securities. In 2025, the Commission extended the compliance deadlines by one year, setting 31 December 2026 for eligible cash Treasury transactions and 30 June 2027 for eligible repo transactions.

However, Treasury clearing is far more than a change to settlement mechanics – it is also an opportunity to reassess their access model strategy for both Done with and Done away activity. It will fundamentally alter how institutions participate in the market, and with that could come significant benefit to balance sheet and RWA.

Central clearing affects participation models, account structures, margin flows, liquidity management and counterparty exposure frameworks. Transactions that historically moved through bespoke bilateral workflows will increasingly migrate into standardized clearing and risk-management processes governed by central counterparties.

Preparing for this transition requires operational transformation across several dimensions. Firms must establish reliable clearing connectivity, ensuring that access models,
onboarding frameworks, and integration with CCP workflows are operational well before regulatory deadlines. They must also strengthen margin and collateral capabilities, including forecasting, optimization, and intraday collateral mobilization as Treasury trading, repo financing, and liquidity management become more tightly interconnected.

Risk frameworks will also need to evolve. Counterparty exposure will increasingly span bilateral relationships, client-clearing obligations, CCP exposure, and liquidity stress scenarios that must be managed holistically rather than in isolation. Finally, post-trade infrastructure must scale significantly. Allocation processes, trade matching, settlement controls, exception management, and client reporting all need to operate at higher volumes and with greater precision.

Viewed through this lens, Treasury clearing is not simply a regulatory hurdle. It is a catalyst for operating-model modernization and an opportunity for new business and increased market share. Institutions that industrialize onboarding, documentation, collateral management, and exception handling will adapt more smoothly to the new market structure. Those relying on fragmented infrastructure and manual workarounds will face increasing operational and liquidity pressure as clearing requirements take hold.

AI and advanced automation are moving rapidly from isolated experimentation into the operational core of capital markets institutions. Early use cases have focused on improving efficiency in areas such as trade surveillance, reconciliations, workflow routing, document processing and compliance support. These implementations are already producing measurable gains in productivity and error reduction.

The deeper significance of AI, however, lies in how it reshapes the architecture of operations itself. By enabling predictive analytics, anomaly detection, and intelligent decision support, AI allows operations to evolve from reactive processing toward proactive orchestration across the trade lifecycle.

As we have previously set out in our Future of Operations series, Operations increasingly serves as a strategic control layer overseeing complex client and market interactions. Within this model, AI enables real-time monitoring of operational health, automated triage of exceptions and more intelligent service models that anticipate issues before they disrupt market activity.

Several high-value use cases are already emerging. AI can improve surveillance capabilities by reducing false positives while enhancing the detection of subtle behavioral patterns that signal potential misconduct. In reconciliation environments, machine learning models can classify breaks, identify likely root causes, and recommend resolution pathways that significantly accelerate resolution times. In compliance and regulatory reporting, AI can assist with control testing, report validation, communications monitoring and policy interpretation.

Realizing these benefits at scale requires more than deploying algorithms. Firms must also modernize their data architecture, implement robust model governance frameworks and establish effective human-in-the-loop escalation processes. The question for executives is no longer whether AI should play a role in operations, but how to embed it within the control architecture in a way that enhances speed and resilience without sacrificing transparency, accountability or regulatory confidence.

Capco’s perspective is clear: operations must evolve beyond traditional processing roles to orchestrate, oversee, and optimize end-to-end client and market journeys. In an environment defined by near-continuous trading, compressed settlement cycles, and rising expectations for immediacy, institutions can no longer rely on operating models built for batch processing and limited trading windows.

This moment represents a strategic inflection point. The future of operations is not simply about layering automation onto legacy processes. Instead, it requires a shift toward platform-based operating models built on shared data architectures, integrated control frameworks, real-time telemetry, and end-to-end workflow orchestration.

Within such an environment, the operational focus shifts from processing transactions to managing outcomes. Client experience, market resilience, risk responsiveness, and service performance become the primary measures of success.

In practical terms, this transformation involves moving from batch processing to event-driven operations; from manual exception handling to intelligent triage; from fragmented functional delivery to integrated platform execution; and from reactive control frameworks to predictive resilience. When executed successfully, operations becomes a strategic driver of growth, stability, and competitive advantage rather than a traditional cost center.