Agentic AI in Financial Services: From Pilots to Platforms

State of Agentic AI end 2025

  Executive takeaways for asset & wealth management teams; Investment marketing communication, research and client communication Agentic AI is moving from pilots to platforms. Microsoft, Google, Anthropic and Cohere have introduced enterprise‑grade orchestration, governance and multi‑agent capabilities designed for regulated environments. These are now viable for client reporting, performance attribution, and commentary workflows—provided you pair…

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Agentic Automation in Financial Services: Why Orchestration Is the Real Challenge

Agentic orchestration

Agentic AI—systems where autonomous agents handle tasks—has generated huge excitement. But the biggest obstacle isn’t what most people expect. It’s not about reasoning power, speed, or access to tools. The real bottleneck is orchestration: how we coordinate multiple agents to work together effectively. What’s Wrong with Current Approaches? Most teams use simple strategies like: Serial…

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Shadow Agentic AI: Rethinking Transformation in Investment Management

Shadow Agentic AI transforming investment workflows

Transformation and Change Management The investment management industry has long been under pressure to evolve. Fee compression, rising operational costs, and increasing client expectations have driven firms to seek efficiencies through automation. This trend is not new—banking, financial services, and insurance (BFSI) have historically been early adopters of technological innovation. Yet, as the industry enters…

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3 Powerful Use Cases of Gen AI in Asset Management: Portfolio Strategy, Attribution & Marketing

A summary of 3 powerful use cases of Gen AI in Asset Management: Portfolio Strategy, Attribution & Marketing.  Gen AI role in portfolio construction and research within financial services asset management. We focus on how our infin8 capabilities can be practically embedded into your workflow. Portfolio Strategy Optimization Using Unstructured Data Signals In today’s investment…

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Harnessing Enterprise Data Management and AI in Financial Services

enterprise data management in financial services

Enterprise Data Management and AI in the financial services industry is undergoing a profound transformation driven by data proliferation, regulatory complexity, and the demand for real-time insights. Innovative platforms enable financial institutions to adopt a “one-to-many” approach to artificial intelligence (AI). This strategy involves deploying centralized AI and data infrastructure that can serve multiple business…

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Harnessing AI and LLMs in Financial Services: A Trustworthy, Secure, and Provider-Agnostic Approach

The financial services industry stands at a pivotal moment. With the rise of generative AI and large language models (LLMs), institutions have the opportunity to transform operations, enhance customer experiences, and unlock new efficiencies. Yet, this potential must be balanced with strict regulatory compliance, data security, and ethical responsibility. The key lies in adopting a…

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AI Innovations for Client Communication in Financial Services – September 2025 Newsletter

Google Gemini AI tools for finance. Meta WhatsApp AI for investment firms. Oracle GPT-5 integration for financial services. Claude AI assistant for financial advisors. DeepSeek open-source AI model Mistral Le Chat enterprise assistant OpenAI Morgan Stanley AI debrief

AI Innovations for Client Communication in under 5 minutes. A compelling read of the most recent product-related press releases from Google, Apple, Meta, Oracle, Anthropic, DeepSeek, Mistral, and OpenAI, with a focus on innovations relevant to investment management and client communication. Here at infin8 we remain agnostic to the choice(s) of LLM. We have capabilities…

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Break free from a single AI vendor

Break Free: Why Your AI Strategy Needs to be LLM-Agnostic Anthropic, DeepSeek, Open-AI, Meta, Google and Microsoft have all made AI releases this month. Again. Whilst these developments certainly represent progress, they highlight a critical concern for forward-thinking organisations: the risk of vendor lock-in. When you build your knowledge bases, workflows, and custom or over-hyped…

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