Finance

Using AI to draft and research finance work

AI helps with writing and research tasks in a finance role, allowing faster exploration of ideas and quicker production of work outputs.

Why the human is still essential here

The human still has to decide what to ask, evaluate whether the output makes sense, and apply finance context and judgment.

How people use this

Budget commentary first drafts

AI turns variance drivers and planning notes into a first draft of monthly budget commentary that a finance manager can refine for accuracy and tone.

Claude / ChatGPT

Market and competitor research summaries

AI compiles public filings, earnings calls, and news into concise research briefs to speed up finance-led market scanning and decision support.

Perplexity / AlphaSense

Executive memo drafting

AI helps structure board updates, investment memos, and decision documents from analyst notes and source materials so teams can write faster.

Microsoft Copilot / Claude

Need Help Implementing AI in Your Organization?

I help companies navigate AI adoption -- from strategy to production. Whether you are building your first LLM-powered feature or scaling an agentic system, I can help you get it right.

LLM Orchestration

Design and build LLM-powered products and agentic systems

AI Strategy

Go from idea to production with a clear implementation roadmap

Compliance & Safety

Build AI with human-in-the-loop in regulated environments

Related Prompts (2)

Latest community stories (1)

Personal Story
LinkedIn

2 years ago, I was scared of AI.

2 years ago, I was scared of AI.

Now I use Claude almost every day in my finance job.


Iโ€™m not a tech person. When AI first showed up at work, it felt confusing and overwhelming. And hearing โ€œAI will replace jobsโ€ didnโ€™t help. So I stayed away.


But about 10 months ago, I challenged myself:

๐Ÿ‘‰ What if I just try to learn it?


Not just asking ChatGPT simple questions, but digging deeper and seeing how AI tools can help me save time and do my job better.


At first, there was a lot of trial and error. Some prompts didnโ€™t work. Some outputs didnโ€™t make sense. But slowly, things started to click. Hereโ€™s what Iโ€™ve learned:


1๏ธโƒฃ Make the AI prompts as specific as you can.

Being specific minimizes bandwidth and optimizes output.


2๏ธโƒฃ Think outside the box. Be open to try.

Iโ€™ve used it to write, research, extract, analyze, automate, etc.


3๏ธโƒฃ Understand limitations through testing.

Identify areas of limitation where you need to use judgment.


To me, AI feels a lot like computers decades ago.


Yes, it eliminated jobs. But it also created new ones. And the people who learned how to use computers had the biggest advantage.


AI is the same. Keep an open mind. Try new things. Learn a little every day. Make AI work for you, not against you.


I look forward to continuous learning this year. Curious โ€” how are you using AI in finance today?

AC
Adam ChenSenior Strategic Finance Manager
Apr 8, 2026