A Tier 1 Investment Bank with Global Capital Markets Operations
The engagement addressed longstanding inefficiencies and delays inherent in the client’s Time & Materials (T&M) model, particularly the challenges of managing cyclical refresh cycles across an expanding global client base.
Through a major technology transformation initiative, the team implemented a Client Lifecycle Management (CLM) solution that streamlined operations and improved consistency.
Central to the work was the establishment of a long-term, outcome‑driven partnership that enabled both sides to collaborate effectively and sustain progress.
A key achievement was transitioning the client from traditional refresh processes to a “Next Refresh Date” methodology, ensuring stronger regulatory compliance and a more predictable, scalable operating model.
FinTrU collaborated with the client to design and implement a scalable operating model
Introduced a bespoke Cost-Per-File model, aligning delivery outcomes with efficiency and cost transparency.
Leveraged proprietary technology, including TrU Label (Machine Learning), to accelerate annotation and enhance accuracy.
Developed automated dashboards providing real-time insights, reducing manual intervention and strengthening governance.
Established a cost-back methodology for refresh services.
The partnership drove meaningful, measurable progress by implementing new operating models and modernising key processes that elevated both accuracy and delivery performance.
The multi‑year strategic partnership delivered several foundational achievements, beginning with the successful implementation of the Cost‑Per‑File model in 2023. This shift provided full spend transparency and created a framework for joint outcome alignment, strengthening collaboration and enabling more predictable planning across the engagement.ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ
Building on that foundation, the team transitioned the client to the Next Refresh Date methodology in 2025, delivering a future ready refresh framework aligned with evolving regulatory expectations. This transformation enhanced operational efficiency through OLA-driven models, reducing the overall cost to the bank and enabling greater agility across global trading and compliance operations.ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ
The combined impact of these initiatives resulted in strong operational performance, including more than 92% on-time delivery and over 95% accuracy across a portfolio of more than 4,000 entities. The engagement also maintained a tail of less than 3% on the 2025 book of work, significantly outperforming the industry average of 10 to 20% and demonstrating the effectiveness and scalability of the new operating model.
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