From the Next Generation Operating Model to the AI Operating Model

Executive Summary  AI is no longer a tooling question for investment firms. It is an operating-model question. The firms that win will redesign work, decisions, controls, and talent fast enough to turn AI from scattered pilots into institutional advantage. Building on Meradia’s Next Generation Operating Model (NGOM), this paper introduces the AI Operating Model (AIOM): the management system that converts

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Building Backwards: Delivering Total Portfolio Attribution, Analytics, and Liquidity

At its core, the Total Portfolio Approach (TPA) demands that firms consistently generate three outcomes: total portfolio attribution, integrated analytics, and forward-looking, total portfolio level liquidity forecasting. Together, these form the backbone of informed, portfolio-wide decision-making. Yet many asset owners struggle to produce these outputs in a way that is timely, coherent, and scalable across

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Why Target Operating Models Fail Before the First Mile

For those who know me outside of work, you know I’m a runner and always training for the next race. In distance running, elite athletes don’t start with race day strategy. They start with an honest assessment of current capability. Pace, endurance, recovery, and risk are measured before the plan is set. Organizations rarely apply

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Tokenization Meets Operations: Four Changes That Matter

Introduction Over the past several years, tokenization has moved from a conceptual topic into something firms are actively bringing into production. What once lived mostly in proofs of concept and industry discussion is now starting to operate inside real market infrastructure. At a basic level, tokenization is the process of representing real‑world assets in a

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Why Transformation Efforts Fail – Why Partnership and Trust Determine Success

Summary Organizations across the investment industry continue to spend tens of millions of dollars each year modernizing and optimizing operational processes, aiming to improve efficiency, enable growth, and support innovation. Yet despite sustained investment, many organizations struggle to realize the outcomes they expect. Recent research underscores the scale of the challenge. Studies published in 2024

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The Autonomy Trap: How Unchecked Autonomy Fragments Investment Operations

Many firms struggle with fragmented processes, duplicative efforts, and stalled transformation initiatives. What may seem like agility at the team level often creates hidden risks, rising costs, and significant barriers to scale. Enterprise solutions such as Total Portfolio View (TPV), Investment Book of Record (IBOR), and centralized analytics platforms are designed to unify organizations through

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2026 Trends: The Next Generation Operating Model – AI, Data, and Alpha at Scale

In 2026, the competitive gap in asset management will continue to widen between firms that industrialize data and Artificial Intelligence (AI) on cloud-native, interoperable architectures with embedded governance versus firms entrenched in legacy operating models and endlessly piloting on antiquated infrastructure. AI is THE multiplier: it amplifies strengths in clean, governed data, modular platforms, efficient processes, and exposes weaknesses in operating models, including data silos, manual ‘low value’ work, and unclear data ownership.

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Finding the Groove: Data Strategy as Foundation

Is Your Data Strategy Playing in Sync, or Out of Tune? Think about the last time you saw a truly great band. The vocals soared, the guitar solos amazed… but what about the drums and bass? Odds are, you didn’t notice them much, and that’s exactly the point. They set the foundation, creating the groove

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