One of the world’s largest investment management organizations partnered with GlobalLogic to digitize its core processes and integrate AI.
This collaboration aimed to create a structured and transparent investment environment while enabling teams to navigate large volumes of information, connect insights more effectively, and make faster, better-aligned, and more confident decisions.
Leveraging GlobalLogic’s expertise, the firm introduced intelligent features to help with portfolio insights and a memo review, streamlining complex workflows and driving higher engagement with analytical tools.
Teams reported 25-40% less time spent on early draft reviews, and a noticeable drop in revision cycles.
Challenge
The investment management firm faced significant challenges in managing its complex workflows, over $700 billion in investment assets, and large volumes of data across sourcing, diligence, portfolio monitoring, and asset management. The firm required a more flexible and intelligent approach that could help teams surface relevant insights faster and support more informed decision-making.
Key issues included:
- Time-intensive information gathering: Teams spent excessive time collecting and reshaping data, leaving less time for interpretation and decision-making.
- Fragmented insights: Disconnected data sources and manual processes hindered the ability to connect insights and identify risks effectively.
- Dynamic data collection and organization: Investment teams needed a robust way to gather, structure, and view data from a wide range of sources, including non-traditional inputs, to create a more complete and usable picture of portfolio and investment performance.
- Inconsistent review cycles: Variability in memo quality and inputs led to prolonged review cycles and inefficiencies.
- Limited platform flexibility: Existing all-in-one platforms often acted as closed systems with rigid dashboards and limited customization. As a result, teams were frequently pushed back into Excel for deeper analysis, creating shadow systems, version control issues, and fragmented sources of truth.
- Data normalization challenges: Reporting financial information in different formats, structures, and naming conventions. Analysts had to spend significant time manually cleaning, mapping, and standardizing data before it could be compared reliably, slowing reporting cycles and increasing the risk of inconsistency.
To address these challenges, the firm sought an AI-powered solution that could streamline processes, enhance collaboration, and improve decision-making outcomes.
See how GlobalLogic helps financial services firms turn AI into measurable investment outcomes.
Value Created
GlobalLogic delivered an AI-powered product designed to enhance the investment process, implementing a suite of intelligent features:
- Portfolio Insight Assistant: Provided performance analysis and data-driven insights, enabling teams to quickly identify trends and opportunities.
- Memo Reviewer: Simulated expert perspectives on memos, reducing revisions and improving quality for faster review cycles.
- Strategy Forum: Facilitated virtual debates to promote structured thinking, identify risks, and align strategies.
- Data Explorer: Transformed static data into dynamic visuals on demand, improving data accessibility and interpretation.
The solution was built on the Agentic Flow Reference Architecture, which utilized multi-agent flows and event-based communication to create agent-driven workflows. This architecture enabled the system to handle complex processes and accelerate decision-making at scale.
Key features of the solution included scalability built to adapt as business needs evolve and support long-term growth, seamless integration that kept the system compatible with existing tools and workflows for a smooth transition, and intuitive interfaces backed by centralized data access that improved usability and day-to-day engagement.
Impact
The AI-powered solution delivered transformative results, creating a more connected and supportive experience across the investment process:
- Time savings: What once required 3 to 4 weeks of manual data processing and analysis is now reduced to an instant single click.
- Mission-critical platform adoption: what began as a secondary option day-to-day has evolved into a major mission-critical tool for investment teams, playing a central role in how they access insights, assess opportunities, and support decisions.
- Improved decision-making: Discussions around opportunities and portfolio performance are clearer, faster, and better aligned, leading to more confident decisions.
- Streamlined review cycles: Consistent inputs and improved memo quality have reduced review cycle times significantly.
- Higher engagement with tools: Analytical tool usage surged by 25-40%, with users reporting a streamlined ability to surface critical insights. This improved visibility facilitates a more structured and confident decision-making process.
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