info@meradia.com
Prior chapters in the Total Portfolio Approach (TPA) series explored the key challenges organizations face and the operational approaches they can take to support a TPA framework. The first two papers established the foundation by examining industry trends driving adoption of TPA and the architectural decisions required to enable it. The subsequent papers explored specific
Read Full Article
2026 Investment Performance, Risk, and Attribution Vendor Landscape
Trends in Performance, Risk, and Attribution Systems Introduction While a few years have passed since Meradia’s last Performance Vendor Landscape article, many of its stated trends still hold true. Data aggregation, quality control, and governance remain top priorities for clients evaluating performance platforms. Intuitive workflows and strong exception management continue to shape how efficiently operations
Read Full Article
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
Read Full Article
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
Read Full Article
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
Read Full Article
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
Read Full Article
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
Read Full Article
What Is Tokenization of Financial Assets and How Is It Shaping the Future of Finance?
Tokenization of Financial Assets: Context Tokenization is a buzzword that is used by many in the industry without a single definition or a deep understanding. At its core, tokenization refers to the process of creating a digital representation of an asset on a blockchain or distributed ledger, where each token represents a claim, share, or
Read Full Article
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
Read Full Article
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.
Read Full Article