AI Agents: A New Paradigm for Human-Machine Collaboration
No, this is not science fiction; it is now.
Two key reports will help you better understand AI agents
We live in the era of AI Agents, and if you think this means just another chatbot, you couldn’t be more wrong.
AI agents are going far beyond just answering simple questions by analyzing data, executing plans, and evaluating outcomes.
This is a new era, and I present two reads to highlight what is capable and why bankers, fintechs, and asset managers need this technology now rather than later.
The first from Deloitte shows that the time to move with AI agents is now and how workflows change with fast, efficient, and scalable agents.
Backing up Deloitte is a report from Moody’s showing real use cases for agents deployed right now!
Together, these reads show how AI agents aren’t just science fiction.
👉TAKEAWAYS
AI Agents are coming (Deloitte)
• AI agents are reshaping industries by expanding the potential applications of Generative AI (GenAI) and typical language models.
• Multiagent AI systems can significantly enhance the quality of outputs and complexity of work performed by single AI agents.
• Forward-thinking businesses and governments are already implementing AI agents and multiagent AI systems across a range of use cases.
• Executive leaders should make moves now to prepare for and embrace this next era of intelligent organizational transformation.
What Moody’s agents do NOW:
• Automatically draft comprehensive credit reports by analyzing financial statements, market conditions, and other relevant data points.
• Assist analysts in identifying emerging market trends by analyzing data patterns and suggesting actionable insights.
• Visualize various financial indicators’ interconnectedness and predict potential market shifts
Agents are far more complex that an LLM’s ability for pure question and answer. RAG with additional context, to an Agent that can plan, execute plans, interact with tools and evaluate outcomes.
👊STRAIGHT TALK👊
Ever a fan of Star Trek, I am reminded of how Spock could converse with a computer to help him analyze data.
While speech synthesis may not be in the cards for all AI agents, the reality is that we are fast approaching a world where we can interact with AI at levels that are Star Trek-like.
The new human-machine paradigm is that we can ask agents to solve problems and present analysis.
The impact on financial services is clear, and Moody’s use cases show that agents can readily do the “grunt work” of credit analysis more consistently than humans.
The days when rows of junior analysts slaved over Excel spreadsheets at Moody's are a thing of the past.
Spock would approve!
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