Technology and Innovation Community

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

Interesting topic to highlight here Todor

What I enjoy is that this is something moving now. I do regular check-ins with with RPA SIs and the whole story of last year was a build in demand for AI tools but no available solution. AgenticAI changes that and license growth is expected to reignite this quarter - will be interesting to keep an eye on UIPath and others and I'd recommend their Forward even from last quarter

I do wonder what implications this has for Cx BPO players where genAI has already caused massive disruption. Spelling the end of a human agent?

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

Hi Philip,

Thanks for the feedback. Things have started to move really fast now in that space. Appreciate the feedback on $PATH, this is a company which I follow closely as well. I recommend viewing the latest podcast appearance by Daniel Dines with Harry Stebbings at 20VC (it's available on YouTube).

$NVDA has just released their Agentic AI roadmap for Enterprose at CES 2025 last week which gives a good overview of where things are moving to (I think this closely resembles their work with $CRM, i.e. Agentforce, and $NOW). Definitely, this should have a big impact on Cx BPOs down the road (interesting to see to what extend).

https://www.cxtoday.com/customer-data-platform/nvidia-ceo-jenson-huangs-vision-for-agentic-ai-in-2025-the-rundown/

What I closely monitor now is the big developments in humanoids (especially in China). This should definitely move the needle significantly for accelerated productivity gains for the next couple of decades, I think.

Will be good to see what's your overview on this topic?

Best,

Todor

Interesting topic to highlight here Todor

What I enjoy is that this is something moving now. I do regular check-ins with with RPA SIs and the whole story of last year was a build in demand for AI tools but no available solution. AgenticAI changes that and license growth is expected to reignite this quarter - will be interesting to keep an eye on UIPath and others and I'd recommend their Forward even from last quarter

I do wonder what implications this has for Cx BPO players where genAI has already caused massive disruption. Spelling the end of a human agent?

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

Hi Todor,

Thanks for the links think I've found what I'll be listening to today

I'll be honest humanoids (or robotics in general) are outside the scope of what I've been looking at - I've typically focused on Teleperformance, Transcom, and Foundever. What names would you suggest I read up on? My initial thoughts are that they could hold a lot of potential, we've already seen the impact of robotics on warehousing and with a more human touch I think use-cases can quickly expand to various services. Another question I would have is the impact of a physical presence (and associated costs) vs a terminal like approach powered by an AgenticAI or something similar  

best,

Phil

Hi Philip,

Thanks for the feedback. Things have started to move really fast now in that space. Appreciate the feedback on $PATH, this is a company which I follow closely as well. I recommend viewing the latest podcast appearance by Daniel Dines with Harry Stebbings at 20VC (it's available on YouTube).

$NVDA has just released their Agentic AI roadmap for Enterprose at CES 2025 last week which gives a good overview of where things are moving to (I think this closely resembles their work with $CRM, i.e. Agentforce, and $NOW). Definitely, this should have a big impact on Cx BPOs down the road (interesting to see to what extend).

https://www.cxtoday.com/customer-data-platform/nvidia-ceo-jenson-huangs-vision-for-agentic-ai-in-2025-the-rundown/

What I closely monitor now is the big developments in humanoids (especially in China). This should definitely move the needle significantly for accelerated productivity gains for the next couple of decades, I think.

Will be good to see what's your overview on this topic?

Best,

Todor

Interesting topic to highlight here Todor

What I enjoy is that this is something moving now. I do regular check-ins with with RPA SIs and the whole story of last year was a build in demand for AI tools but no available solution. AgenticAI changes that and license growth is expected to reignite this quarter - will be interesting to keep an eye on UIPath and others and I'd recommend their Forward even from last quarter

I do wonder what implications this has for Cx BPO players where genAI has already caused massive disruption. Spelling the end of a human agent?

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

Thanks for sharing; an interesting report that illustrates the potential of Agentic AI … however trust is always critical to success, particularly when it comes to delegating decision-making. Current technological limitations and ethical considerations suggest to me that Agentic AI is perhaps still quite far from being robust enough to handle high-stakes applications autonomously, especially in a highly regulated sector like financial services. Although, for sure an area to monitor closely in 2025!

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

Good one Todor. Thanks for the City piece.

I have recently read this paper on a related topic: https://arxiv.org/abs/2402.15585

Basically it show how naively treating AI- and ML-generated variables as "data" leads to biased estimates and invalid inference i.e. the increasingly common practice of using regressors generated by AI or ML introduces measurement error which biases estimates and leads to invalid inference.

Although not directly related to Agentic AI, this paper is a warning about trusting blindly the output obtained from AI agents when used to obtain investment research insights. 

Once again, despite the paper conclusions are focused on ML regression problems and not Agentic AI, I think it's good food for thought. 

------------------------------
Carlos Salas
CIO, Co-Founder

Original Message:
Sent: 18-01-2025 13:33
From: Todor Kostov
Subject: Agentic AI

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

------------------------------
Todor Kostov
Director
------------------------------

Hi Carlos,

Thanks for the great input and the link to the paper from Cornell Uni.

I will look into it in detail but I completely agree that we have to treat AI and ML generated data quite cautiously when applyng it to different use cases, in this example investment research insights.

On the Agentic AI focus, I think the use cases will be heavily skewed towards implementation in retail banking (virtual financial assistants/tax planning agents), corporate banking (custom lending offers/real-time KYC and onboarding) and insurance (adaptive claim management/real-time underwriting models) going forward. That is where the 'easy' gains could materialise, in my opinion.

Hope this helps.

Best,

Todor

------------------------------
Todor Kostov
Director

Original Message:
Sent: 28-01-2025 16:01
From: Carlos Salas
Subject: Agentic AI

Good one Todor. Thanks for the City piece.

I have recently read this paper on a related topic: https://arxiv.org/abs/2402.15585

Basically it show how naively treating AI- and ML-generated variables as "data" leads to biased estimates and invalid inference i.e. the increasingly common practice of using regressors generated by AI or ML introduces measurement error which biases estimates and leads to invalid inference.

Although not directly related to Agentic AI, this paper is a warning about trusting blindly the output obtained from AI agents when used to obtain investment research insights. 

Once again, despite the paper conclusions are focused on ML regression problems and not Agentic AI, I think it's good food for thought. 

------------------------------
Carlos Salas
CIO, Co-Founder

Original Message:
Sent: 18-01-2025 13:33
From: Todor Kostov
Subject: Agentic AI

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

------------------------------
Todor Kostov
Director
------------------------------

More of a business strategy view on agentic AI:

AI in the workplace: A report for 2025 | McKinsey (superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-v4.pdf)

AI Agents: Current Status, Industry Impact, and Job Market Implications | by ByteBridge | Feb, 2025 | Medium

Across the financial services industry, the technology transformation functions are heavily overweight AI personnel. Cutting FTEs by give or take 10%, immediately or by attrition and by cost or by bodies, is short-term pain (2-3 years?) that can be absorbed while waiting for AI tool implementation and governance to catch-up. Estimates of 30% permanent improvement in productivity is a promise that senior leadership can't afford to not invest in. 

Hi Carlos,

Thanks for the great input and the link to the paper from Cornell Uni.

I will look into it in detail but I completely agree that we have to treat AI and ML generated data quite cautiously when applyng it to different use cases, in this example investment research insights.

On the Agentic AI focus, I think the use cases will be heavily skewed towards implementation in retail banking (virtual financial assistants/tax planning agents), corporate banking (custom lending offers/real-time KYC and onboarding) and insurance (adaptive claim management/real-time underwriting models) going forward. That is where the 'easy' gains could materialise, in my opinion.

Hope this helps.

Best,

Todor

------------------------------
Todor Kostov
Director

Original Message:
Sent: 28-01-2025 16:01
From: Carlos Salas
Subject: Agentic AI

Good one Todor. Thanks for the City piece.

I have recently read this paper on a related topic: https://arxiv.org/abs/2402.15585

Basically it show how naively treating AI- and ML-generated variables as "data" leads to biased estimates and invalid inference i.e. the increasingly common practice of using regressors generated by AI or ML introduces measurement error which biases estimates and leads to invalid inference.

Although not directly related to Agentic AI, this paper is a warning about trusting blindly the output obtained from AI agents when used to obtain investment research insights. 

Once again, despite the paper conclusions are focused on ML regression problems and not Agentic AI, I think it's good food for thought. 

------------------------------
Carlos Salas
CIO, Co-Founder

Original Message:
Sent: 18-01-2025 13:33
From: Todor Kostov
Subject: Agentic AI

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

------------------------------
Todor Kostov
Director
------------------------------

More of a business strategy view on agentic AI:

AI in the workplace: A report for 2025 | McKinsey (superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-v4.pdf)

AI Agents: Current Status, Industry Impact, and Job Market Implications | by ByteBridge | Feb, 2025 | Medium

Across the financial services industry, the technology transformation functions are heavily overweight AI personnel. Cutting FTEs by give or take 10%, immediately or by attrition and by cost or by bodies, is short-term pain (2-3 years?) that can be absorbed while waiting for AI tool implementation and governance to catch-up. Estimates of 30% permanent improvement in productivity is a promise that senior leadership can't afford to not invest in. 

Hi Carlos,

Thanks for the great input and the link to the paper from Cornell Uni.

I will look into it in detail but I completely agree that we have to treat AI and ML generated data quite cautiously when applyng it to different use cases, in this example investment research insights.

On the Agentic AI focus, I think the use cases will be heavily skewed towards implementation in retail banking (virtual financial assistants/tax planning agents), corporate banking (custom lending offers/real-time KYC and onboarding) and insurance (adaptive claim management/real-time underwriting models) going forward. That is where the 'easy' gains could materialise, in my opinion.

Hope this helps.

Best,

Todor

------------------------------
Todor Kostov
Director

Original Message:
Sent: 28-01-2025 16:01
From: Carlos Salas
Subject: Agentic AI

Good one Todor. Thanks for the City piece.

I have recently read this paper on a related topic: https://arxiv.org/abs/2402.15585

Basically it show how naively treating AI- and ML-generated variables as "data" leads to biased estimates and invalid inference i.e. the increasingly common practice of using regressors generated by AI or ML introduces measurement error which biases estimates and leads to invalid inference.

Although not directly related to Agentic AI, this paper is a warning about trusting blindly the output obtained from AI agents when used to obtain investment research insights. 

Once again, despite the paper conclusions are focused on ML regression problems and not Agentic AI, I think it's good food for thought. 

------------------------------
Carlos Salas
CIO, Co-Founder

Original Message:
Sent: 18-01-2025 13:33
From: Todor Kostov
Subject: Agentic AI

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

------------------------------
Todor Kostov
Director
------------------------------

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

Nice to see Citi reports being referenced here from a Citi employee ! 

For those wondering how far away agentic AI is, it is right here today. In a couple of simple clicks, you can create your own AI agent and instruct it to crawl webpages, crawl YouTube videos or do research for you. For those of you who like hobby programming or are into Python, you can review the docs of CrewAI here: https://docs.crewai.com/quickstart.

With fairly limited effort, I'm sure you could get the agent to crawl the Technology and Innovation hub at CFA UK, summarise latest posts, and suggest responses ! 

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

Good one Shane

Some bits and pieces about other AI Agents frameworks:

Popular AI Agent Frameworks:

• CrewAI
• Autogen
• Phidata
• OpenAI Swarm
• Pydantic AI
• LangGraph
• Atomic Agents 

Criteria for Selecting an AI Agent Framework:

1. Production Readiness – Some frameworks are more suited for experimentation, while others work well for enterprise applications.
2. Control & Structure – A good framework should allow structured input/output, like calling APIs.
3. Observability – Tools for monitoring and debugging the agent's behavior.
4. Flexibility – Ability to switch between LLM providers and integrate various models.
5. Ease of Use – Some frameworks offer more abstraction, while others give granular control.
6. Cost Efficiency – Some frameworks rely on OpenAI APIs, which can quickly accumulate costs.
7. Use Case Suitability – The best framework depends on whether you're building for research, production, or automation.

Highlights of Framework Opinions:

• Atomic Agents is a minimalist alternative focused on structured output and maintainability.
• CrewAI is easy to use, role-based, and provides higher-level abstractions but may struggle with complex workflows.
• LangGraph offers better flow control and fine-grained management, making it more suitable for detailed agent workflows.
• Phidata is simple and efficient, providing essential tools, memory, and retrieval-augmented generation (RAG).
• Autogen and OpenAI Swarm are considered more experimental or for simpler applications.
• Pydantic AI is new and promising but lacks an organizational layer.
• Burr is mentioned as a simpler alternative to LangGraph.
• FlowiseAI and n8n are recommended for beginners due to their intuitive, no-code workflows.

Debate on Using Frameworks vs. Direct LLM Usage:

• Some argue that direct LLM usage with structured prompts can be more effective than using complex frameworks.
• Others believe frameworks help with organization, modularity, and reusability.

Key Takeaways:

• There is no single "best" framework-it depends on the specific project needs.
• Atomic Agents is gaining attention as a lightweight, maintainable alternative.
• CrewAI and LangGraph are the most commonly used for production.
• Beginners should start with simpler frameworks like FlowiseAI or Phidata before moving to complex ones.

------------------------------
Carlos Salas
Portfolio Manager & Freelance Investment Research Consultant

Original Message:
Sent: 07-03-2025 22:29
From: Shane Jocelyn
Subject: Agentic AI

Nice to see Citi reports being referenced here from a Citi employee ! 

For those wondering how far away agentic AI is, it is right here today. In a couple of simple clicks, you can create your own AI agent and instruct it to crawl webpages, crawl YouTube videos or do research for you. For those of you who like hobby programming or are into Python, you can review the docs of CrewAI here: https://docs.crewai.com/quickstart.

With fairly limited effort, I'm sure you could get the agent to crawl the Technology and Innovation hub at CFA UK, summarise latest posts, and suggest responses ! 

------------------------------
Shane Jocelyn
Investment Analyst

Original Message:
Sent: 18-01-2025 13:33
From: Todor Kostov
Subject: Agentic AI

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

------------------------------
Todor Kostov
Director
------------------------------

Nice to see Citi reports being referenced here from a Citi employee ! 

For those wondering how far away agentic AI is, it is right here today. In a couple of simple clicks, you can create your own AI agent and instruct it to crawl webpages, crawl YouTube videos or do research for you. For those of you who like hobby programming or are into Python, you can review the docs of CrewAI here: https://docs.crewai.com/quickstart.

With fairly limited effort, I'm sure you could get the agent to crawl the Technology and Innovation hub at CFA UK, summarise latest posts, and suggest responses ! 

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

Very interesting suggestions Shane, thank you, for me especially the last one :-)

Nice to see Citi reports being referenced here from a Citi employee ! 

For those wondering how far away agentic AI is, it is right here today. In a couple of simple clicks, you can create your own AI agent and instruct it to crawl webpages, crawl YouTube videos or do research for you. For those of you who like hobby programming or are into Python, you can review the docs of CrewAI here: https://docs.crewai.com/quickstart.

With fairly limited effort, I'm sure you could get the agent to crawl the Technology and Innovation hub at CFA UK, summarise latest posts, and suggest responses ! 

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

Mid-week light reading on AI Agents... technology popcorn, fun and entertaining!

AI Agents: What They Are and Their Business Impact | BCG

The first half of the article is 101, you all know this. Rather, scroll to the middle with the four business use cases and measured outcomes.

Outreach founder Manny Medina has a new startup that helps AI agents get paid | TechCrunch

Techcrunch feature article on Paid (AgentPaid: Simplify AI Agent Billing and Observability with Precision), HR for AI Agents, the ultimate gig workers! This is a white collar manager's dream, to pay for outcomes and not for effort. 

Very interesting suggestions Shane, thank you, for me especially the last one :-)

Nice to see Citi reports being referenced here from a Citi employee ! 

For those wondering how far away agentic AI is, it is right here today. In a couple of simple clicks, you can create your own AI agent and instruct it to crawl webpages, crawl YouTube videos or do research for you. For those of you who like hobby programming or are into Python, you can review the docs of CrewAI here: https://docs.crewai.com/quickstart.

With fairly limited effort, I'm sure you could get the agent to crawl the Technology and Innovation hub at CFA UK, summarise latest posts, and suggest responses ! 

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

OpenAI has just published a practical guide on how to build LLM agents for real-world applications.

It elaborates on how to define an agent, when to consider building such, the technical foundations and orchestration strategies and the guardrails for safe and predictable behaviour.

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

Great material Todor, I also saw some headlines on Google releasing their Agent development kit here which I started to play around with: https://developers.googleblog.com/en/agent-development-kit-easy-to-build-multi-agent-applications/

OpenAI has just published a practical guide on how to build LLM agents for real-world applications.

It elaborates on how to define an agent, when to consider building such, the technical foundations and orchestration strategies and the guardrails for safe and predictable behaviour.

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

Good article from the FT - AI Agents:from co-pilot to autopilot (should be able to be accessed freely)

This is part of their FT Tech for Growth Forum - 'AI and the R&D revolution'

It delves primarily into the foundations for progress, functional applications for different industries, drawbacks, how to adopt AI agents and who might be the winners and losers.

One example below about the concerns businesses currently have about adopting LLMs at work (FS benchmarked against all other industries):

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

FYI, slide deck and Python notebook from yesterday's CFA UK 101 AI Agents webinar stored in Library:

https://connect.cfauk.org/viewdocument/technology-innovation-skills-path?CommunityKey=7dd46799-adc2-4a71-b816-0192b1255bce&tab=librarydocuments

Good article from the FT - AI Agents:from co-pilot to autopilot (should be able to be accessed freely)

This is part of their FT Tech for Growth Forum - 'AI and the R&D revolution'

It delves primarily into the foundations for progress, functional applications for different industries, drawbacks, how to adopt AI agents and who might be the winners and losers.

One example below about the concerns businesses currently have about adopting LLMs at work (FS benchmarked against all other industries):

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

FYI, slide deck and Python notebook from yesterday's CFA UK 101 AI Agents webinar stored in Library:

https://connect.cfauk.org/viewdocument/technology-innovation-skills-path?CommunityKey=7dd46799-adc2-4a71-b816-0192b1255bce&tab=librarydocuments

Good article from the FT - AI Agents:from co-pilot to autopilot (should be able to be accessed freely)

This is part of their FT Tech for Growth Forum - 'AI and the R&D revolution'

It delves primarily into the foundations for progress, functional applications for different industries, drawbacks, how to adopt AI agents and who might be the winners and losers.

One example below about the concerns businesses currently have about adopting LLMs at work (FS benchmarked against all other industries):

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

Thank you for the presentation Carlos. Very useful. One area I have found difficult is accessing, then storing, multiple notes to accounts/transcripts in order to apply AI to them (specifically when looking for changes in accounting treatment/other red flags). I always run into problems with the chunking process, or window sizes (you end up with a lot of text!). I've experimented with RAG, but would an agentic model improve/get over this problem? 

FYI, slide deck and Python notebook from yesterday's CFA UK 101 AI Agents webinar stored in Library:

https://connect.cfauk.org/viewdocument/technology-innovation-skills-path?CommunityKey=7dd46799-adc2-4a71-b816-0192b1255bce&tab=librarydocuments

Good article from the FT - AI Agents:from co-pilot to autopilot (should be able to be accessed freely)

This is part of their FT Tech for Growth Forum - 'AI and the R&D revolution'

It delves primarily into the foundations for progress, functional applications for different industries, drawbacks, how to adopt AI agents and who might be the winners and losers.

One example below about the concerns businesses currently have about adopting LLMs at work (FS benchmarked against all other industries):

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

------------------------------
Todor Kostov
Director
------------------------------

New report from the Team @ McKinsey:

"Seizing the agentic AI advantage"

Focus is primarily on:

•  Why GenAI still not visible on companies' P&Ls
•  The paradox imbalance between horizontal and vertical use cases
•  How agents can scale AI
•  How agents supercharge operational agility and unlock new revenue opportunities
•  How forward-looking companies are harnessing the power of agents (3 case studies - 2 banks and a research firm)
•  How to maximize the value from AI agents through process reinvention
•  New AI architecture paradigm
•  Technical and human challenges
•  The CEO mandate in the agentic era

#ai #innovationcommunity

------------------------------
Todor Kostov
Director

Original Message:
Sent: 18-01-2025 13:33
From: Todor Kostov
Subject: Agentic AI

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

------------------------------
Todor Kostov
Director
------------------------------

New Bloomberg article  focused on Banks' adoption of the Agentic AI and their ROI focus.

Key Takeaways:

• Agentic AI can automate loan underwriting via specialized agents (data gathering, risk scoring, decisioning, customer engagement).
• Banks could build "agentic factories" where humans oversee networks of autonomous digital workers.
• The workforce impact is mixed: only ~3% net job cuts expected over 3–5 years, but roles will shift to AI governance, training, and orchestration.
• Full autonomy faces hurdles: legacy systems, data governance, and regulatory constraints could delay full-scale use for 5+ years.
• Many banks still spend ~60% of tech budgets on outdated infrastructure.
• Unlike early generative AI tools, agentic AI's ROI will be a decisive benchmark e.g. Commerzbank expects a 120% ROI from €140M invested in AI - showing the scale of cost savings and fraud detection gains if legacy systems are upgraded.
• Bloomberg's late-2024 survey found a split: ~50% of banks see AI cutting costs by 5–10% over 3–5 years, yet 40% expect costs to rise - 15% by over 10% - due to integration needs.

New report from the Team @ McKinsey:

"Seizing the agentic AI advantage"

Focus is primarily on:

•  Why GenAI still not visible on companies' P&Ls
•  The paradox imbalance between horizontal and vertical use cases
•  How agents can scale AI
•  How agents supercharge operational agility and unlock new revenue opportunities
•  How forward-looking companies are harnessing the power of agents (3 case studies - 2 banks and a research firm)
•  How to maximize the value from AI agents through process reinvention
•  New AI architecture paradigm
•  Technical and human challenges
•  The CEO mandate in the agentic era

#ai #innovationcommunity

------------------------------
Todor Kostov
Director

Original Message:
Sent: 18-01-2025 13:33
From: Todor Kostov
Subject: Agentic AI

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

------------------------------
Todor Kostov
Director
------------------------------

Thanks for sharing Carlos - something I've been interested in is how FS & banks will be implementing Agentic AI particularly when it comes down to data protection, processing, and sovereignty etc.; something alluded in that full automation hurdle. Apologies if already discussed but do you have any thoughts on that?

On a broader point, we've seen BPO players look to get into this and taking on a more 'tech partner'/consultant approach. We've also got the old RPA players moving into Agentic as well as hyperscalers & ISVs. Then there is the orchestration discussion. Id be curious on what people think about the landscape?

New Bloomberg article  focused on Banks' adoption of the Agentic AI and their ROI focus.

Key Takeaways:

• Agentic AI can automate loan underwriting via specialized agents (data gathering, risk scoring, decisioning, customer engagement).
• Banks could build "agentic factories" where humans oversee networks of autonomous digital workers.
• The workforce impact is mixed: only ~3% net job cuts expected over 3–5 years, but roles will shift to AI governance, training, and orchestration.
• Full autonomy faces hurdles: legacy systems, data governance, and regulatory constraints could delay full-scale use for 5+ years.
• Many banks still spend ~60% of tech budgets on outdated infrastructure.
• Unlike early generative AI tools, agentic AI's ROI will be a decisive benchmark e.g. Commerzbank expects a 120% ROI from €140M invested in AI - showing the scale of cost savings and fraud detection gains if legacy systems are upgraded.
• Bloomberg's late-2024 survey found a split: ~50% of banks see AI cutting costs by 5–10% over 3–5 years, yet 40% expect costs to rise - 15% by over 10% - due to integration needs.

New report from the Team @ McKinsey:

"Seizing the agentic AI advantage"

Focus is primarily on:

•  Why GenAI still not visible on companies' P&Ls
•  The paradox imbalance between horizontal and vertical use cases
•  How agents can scale AI
•  How agents supercharge operational agility and unlock new revenue opportunities
•  How forward-looking companies are harnessing the power of agents (3 case studies - 2 banks and a research firm)
•  How to maximize the value from AI agents through process reinvention
•  New AI architecture paradigm
•  Technical and human challenges
•  The CEO mandate in the agentic era

#ai #innovationcommunity

------------------------------
Todor Kostov
Director

Original Message:
Sent: 18-01-2025 13:33
From: Todor Kostov
Subject: Agentic AI

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

------------------------------
Todor Kostov
Director
------------------------------

New Bloomberg article  focused on Banks' adoption of the Agentic AI and their ROI focus.

Key Takeaways:

• Agentic AI can automate loan underwriting via specialized agents (data gathering, risk scoring, decisioning, customer engagement).
• Banks could build "agentic factories" where humans oversee networks of autonomous digital workers.
• The workforce impact is mixed: only ~3% net job cuts expected over 3–5 years, but roles will shift to AI governance, training, and orchestration.
• Full autonomy faces hurdles: legacy systems, data governance, and regulatory constraints could delay full-scale use for 5+ years.
• Many banks still spend ~60% of tech budgets on outdated infrastructure.
• Unlike early generative AI tools, agentic AI's ROI will be a decisive benchmark e.g. Commerzbank expects a 120% ROI from €140M invested in AI - showing the scale of cost savings and fraud detection gains if legacy systems are upgraded.
• Bloomberg's late-2024 survey found a split: ~50% of banks see AI cutting costs by 5–10% over 3–5 years, yet 40% expect costs to rise - 15% by over 10% - due to integration needs.

New report from the Team @ McKinsey:

"Seizing the agentic AI advantage"

Focus is primarily on:

•  Why GenAI still not visible on companies' P&Ls
•  The paradox imbalance between horizontal and vertical use cases
•  How agents can scale AI
•  How agents supercharge operational agility and unlock new revenue opportunities
•  How forward-looking companies are harnessing the power of agents (3 case studies - 2 banks and a research firm)
•  How to maximize the value from AI agents through process reinvention
•  New AI architecture paradigm
•  Technical and human challenges
•  The CEO mandate in the agentic era

#ai #innovationcommunity

------------------------------
Todor Kostov
Director

Original Message:
Sent: 18-01-2025 13:33
From: Todor Kostov
Subject: Agentic AI

New research from the team at Citi: 'Agentic AI Finance & the 'Do It For Me' Economy' (Citi GPS: Global Perspectives & Solutions) - Jan 2025

https://ir.citi.com/gps/PxQa3WS0aYzkxqKotCbV0SBGhZ1K5O%2FrMHyDjODXrspQmnDDpp6qZw%3D%3D

------------------------------
Todor Kostov
Director
------------------------------