AI Playbook for Asset Managers to Optimize Operations

There has been much excitement about how AI will transform the workplace of the future. In financial services, that future has started becoming reality—for e.g.  in investment operations, where large language models and agentic AI systems are poised to drive unprecedented efficiency. We are reminded of the early days of Excel, when accounting associates would verify excel outputs with adding machines, unsure whether to trust the new technology. Today, we face a similar inflection point: one where operations professionals evolve into experts at  exception handling, supported by intelligent systems. The challenge for leaders is not just to understand the potential, but to chart a course for the next one, three, and five years. This point of view shares how AI can be leveraged by Investment Operations function of Asset Management firms. It highlights the key challenges being faced by the Operations Leaders and teams,  and outlines how AI can be used to reimagine operations through some key examples. Infosys has helped leading Global Asset Managers to solve complex business challenges leveraging an AI playbook containing tools, accelerators and our AI platform Infosys Topaz.

Find out more here AI PLAYBOOK FOR ASSET MANAGERS TO OPTIMIZE OPERATIONS

 

Author Details

Subham Das

Subham Das has over 11 years of expertise in sourcing strategy, business process management & outsourcing, and large-scale digital transformation initiatives across multiple industries. Area of expertise include operational excellence, business process redesign, operating model design, cost optimization etc.

Todd Roazen

Todd Roazen has over a decade experience in process optimization, digital transformation, and IT project management in the Financial Services industry. He has led multiple initiatives implementing technology and data solutions to improve investment operations and support investment professionals in managing portfolios; he is currently helping clients integrate AI into business processes.

Amitabh Nangia

Amitabh Nangia has over 25 years of experience in the Financial Services industry. He has led multiple BU/enterprise level initiatives including assessments, creating strategic roadmaps & frameworks (business cases, Cost Benefit Analysis for AI-led initiatives. He has worked in various domains including Sales/Trading & Product Control, Investments Research, Portfolio Management, Ops, Large platform integration.

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