OSTTRA
The end of the inbox era: Leveraging AI to solve the collateral communication crisis
06 October 2026
Neil Murphy, product owner, OSTTRA triResolve Margin, reviews the fundamental
shift toward a more resilient and optimised financial ecosystem
Image: Neil Murphy
For over 20 years, the collateral management industry has chased the holy grail of 100 per cent straight-through processing (STP). We have connected upstream and downstream systems and built automated calculation engines. Yet, for a significant portion of the market, a persistent bottleneck remains: the manual email inbox.
Despite the rise of structured margin call messaging via Acadia, a vast volume of tasks — margin call negotiations, dispute resolutions, and collateral proposals — are still live within fragmented email chains.
This ‘inbox era’ of collateral management is characterised by manual data entry and extraction, the constant toggling between systems, and the inherent operational risk of human error.
To truly deliver business-optimised workflows, we must bridge the gap between unstructured communication and structured data. The solution lies in the strategic integration of artificial intelligence directly into the margin workflow.
The friction of fragmented workflows
The current burden on collateral teams is not just the volume of calls, but the medium of communication. When a margin call is sent, the ‘truth’ of that transaction immediately splits.
The financial data sits within a platform, while the negotiation — the ‘why’ behind a dispute or the ‘what’ of a collateral pledge or substitution — resides in a trader’s or analyst’s inbox.
This fragmentation creates a hidden manual workflow. Analysts spend hours each day performing what is essentially high-stakes data entry: reviewing their inbox queue, searching for a specific thread or update, opening attachments and reading through email chains to identify counterparty intent, and then manually typing those figures back into their margin system. This process is not only inefficient, it is a breeding ground for settlement failures and operational risk.
Bridging the gap with AI-driven automation
Business optimisation is about more than just speed; it is about cognitive offloading. By integrating AI to deliver automated email analysis, we can transform the collateral platform from a mere recording tool into an intelligent co-pilot.
The evolution of this workflow begins with contextual integration. Rather than forcing a user to leave the margin platform to check their email for margin call updates, the OSTTRA triResolve Margin system can now pull the relevant email correspondence directly into the margin dashboard.
Using intelligent mapping, the system matches counterparty emails to specific workflow events (such as margin calls or interest calculations) with surgical precision.
Once the data is centralised, the system uses AI to perform the heavy lifting through intent recognition. It analyses the body of an email to determine if a counterparty has agreed or disputed a call, providing a plain-English summary.
More importantly, it utilises smart pre-population where AI extracts key data points — such as agreed amount, notional, ISIN/CUSIP, currency, and settlement dates — to automatically update the required workflow fields.
This shifts the user focus from manual data entry to monitoring an exceptions-based workflow, effectively adding value. Instead of building the transaction from scratch, the user simply verifies the AI-generated suggestions against the displayed email thread. This expert approval approach ensures that while the machine provides the speed, the human retains the final authority.
Optimising the client experience: Why it matters
How does this make life better for the client? The benefits are reflected in four core pillars:
1. Reduced operational drag. By eliminating the inbox shuffle, teams can handle higher volumes of margin calls without increasing headcount. This allows firms to scale their operations efficiently during periods of market volatility.
2. Mitigation of human error. Manual data entry is inherently risky. Automating the extraction of margin calls/responses directly from the source text significantly reduces the likelihood of fat-finger errors and subsequent settlement breaks.
3. Enhanced audit trail. When the entire history of a negotiation is captured within the platform, the audit trail is seamless. There is no longer a need to reconstruct what happened from archived emails months after the fact.
4. Cost. Increased scalability and reduced risk of human error benefit the bottom line directly.
Who stands to gain?
While automation is a universal goal, certain market participants will find this AI-driven capability particularly transformative. Regional banks who face a large number of smaller, non-automated counterparties are obvious beneficiaries. Furthermore, investment managers and hedge funds often cite a lack of automation when trading with major brokers and futures commission merchants for products including repo, OTC cleared, and exchange traded derivatives — which traditionally reside outside of automated messaging networks, including Acadia.
In these cases, firms often face a diverse range of counterparties, or find their broker is not onboarded to industry messaging utilities and still rely on email for margin negotiations.
Furthermore, firms managing complex collateral portfolios — where substitutions and interest statements are high-volume — will see the greatest reduction in manual labour and the most significant improvement in their daily operational cycle.
A foundation of trust and governance
It must be acknowledged that AI is only as valuable as the trust placed in it. A business-optimised workflow must be a secure one. This necessitates an AI framework built on strict governance: ensuring no client data is exposed to external vendors for training and adhering to international standards like ISO 42001.
The goal is not to replace the human element of collateral management, but to liberate it. By removing the friction of manual email processing, we allow collateral professionals to focus on what truly matters: managing risk, optimising liquidity, and strengthening counterparty relationships.
The transition from the ‘inbox era’ to the ‘intelligence era’ is not just a technological upgrade; it is a fundamental shift toward a more resilient and optimised financial ecosystem.
