We stay ahead of the curve by engaging closely with regulators, market participants, and global forums. Our direct involvement in regulatory working groups and industry committees gives us a forward-looking view of how technology, compliance, and market structure are evolving — insights we bring directly to our clients.
We begin with a diagnostic deep dive into your infrastructure, processes, controls, and systems — identifying control gaps, inefficiencies, compliance risks, and technology redundancies. You’ll receive a clear report tailored to your operating environment, ready for stakeholder discussion.
Whether you’re launching a new product, creating new models or methodologies, revamping your workflows or building new systems, we define a phased implementation plan focused on your requirements, your future workflows, recommend the right technology whether in house built or vendor solution and ensure cost-efficiency, regulatory alignment, and long-term scalability.
The result is a Target Operating Model that provides clarity and direction through:
NLP, Gen AI, and autonomous agent applications to replicate manual workflows and reduce operational drag.
Next-generation behavioral monitoring, including psycholinguistics and misconduct risk signals for both H2H and A2A interactions and also to measure unintended consequences of A2H reliance
Tokenization, asset issuance, and end-to-end digital workflow design.
deploying smart contracts to automate and streamline post-trade workflows. Eliminating manual processes, and reducing operational costs by providing real time trigger-based alerts e.g. for defaults, delinquencies, and process failures
Real-time performance metrics and translating complex data into intuitive visuals for storytelling
defining where AI ownership sits, how standards and protocols are set, and how technology, data and business functions operate in a coherent model
Deep domain knowledge across financial market infrastructure, post-trade operations, and risk:
Infrastructure setup and workflow optimization for securities and digital assets.
Asset inventory, haircut frameworks, margin models, eligibility criteria, and optimization engines.
Turnkey design of agency lending and principal lending models.
Licensing, risk models, and operational design.
Lifecycle workflows including clearing, settlement, and regulatory reporting.
NLP, Gen AI, and autonomous agent applications to replicate manual workflows and reduce operational drag.
From pre-trade risk controls to settlement exception handling.
Market, credit, and operational risk — including model validation, governance, and escalation protocols.
RFP creation, scoring matrix development, POC facilitation, and final selection.
