Survey for building a Financial Product

Hi everyone

I’m a Master’s graduate in Data Science, and I’m exploring how AI agents (not chatbots — more like task-oriented digital assistants) could help finance professionals save time and mental energy.

Before building anything, I want to learn from people actually doing finance work day to day.

Think of this as an open discussion / mini survey

Most finance roles have tasks that are:

  • repetitive
  • tedious
  • rule-based but time-consuming
  • necessary, yet not the best use of human judgment

If you had a reliable AI agent that could work alongside you, what would you want it to handle?

Some prompts (answer any that resonate):

  • What daily or weekly tasks would you happily delegate to an AI agent?
  • Are there workflows where you jump between Excel, PDFs, emails, ERP systems, or dashboards?
  • Do you spend a lot of time validating, reconciling, formatting, or summarizing data?
  • Are there processes that are “semi-manual” because automation tools are too rigid?
  • What kind of mistakes are easy to make when you’re tired or under time pressure?

I’m not selling anything and I’m not pitching a startup — I’m trying to understand real bottlenecks before building a serious personal project / portfolio product.

If you’re comfortable, feel free to mention:

  • your role (FP&A, accounting, audit, banking, investing, etc.)
  • industry or company size (optional)

Even small frustrations are valuable — sometimes the best agent is the one that quietly handles the annoying stuff so you can focus on higher-value work.

Thanks in advance
Really appreciate any insights.

2 Comments
 

Based on the most helpful WSO content, here are some insights and suggestions for your survey:

  1. Tasks Finance Professionals Would Delegate to AI Agents:

    • Automating repetitive and tedious tasks like data entry, reconciliation, and formatting.
    • Generating standardized reports from structured and unstructured data.
    • Validating and cross-checking data for errors or inconsistencies.
    • Summarizing large volumes of information from emails, PDFs, and dashboards.
  2. Workflows Involving Multiple Tools:

    • Many professionals frequently switch between Excel, ERP systems, emails, and dashboards. AI agents could streamline these workflows by integrating data across platforms and providing a unified interface.
  3. Semi-Manual Processes:

    • Processes like deal origination, due diligence, and market monitoring often involve semi-manual steps due to the rigidity of existing automation tools. AI agents could add flexibility by adapting to unique workflows.
  4. Mistakes Under Time Pressure:

    • Errors in data validation, misinterpretation of financial models, or overlooking key details in reports are common when professionals are tired or under tight deadlines. AI agents could act as a second layer of review to catch these mistakes.
  5. Potential Use Cases:

    • In investment banking and private equity, AI is already being used to automate up to 50% of functions like deal origination and due diligence. Expanding these capabilities to other finance roles could be highly impactful.
    • Portfolio companies are leveraging AI for tasks like sales optimization, market monitoring, and operational efficiency. These areas could also benefit from task-oriented digital assistants.
  6. Key Frustrations to Address:

    • Rigid automation tools that don’t adapt to specific needs.
    • Time-consuming data formatting and reconciliation.
    • Lack of integration between tools and platforms.

Your approach to understanding real bottlenecks before building a product is commendable. Engaging with professionals in roles like FP&A, accounting, audit, banking, and investing will provide valuable insights into their specific pain points.

Sources: Q&A: AI will automate many roles in the IB/PE world. A live Q&A with Arctic, who are recruiting finance professionals to help manage that change, Q&A: AI will automate many roles in the IB/PE world. A live Q&A with Arctic, who are recruiting finance professionals to help manage that change, Will robots replace your consulting or financial career?, Google partners with Goldman Sachs in automating Investment Banking, Thoughts on AI and the future of the job market?

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 

Voluptatem labore sequi quam autem modi est impedit. Est eligendi vero illum maiores iste consequuntur cupiditate.

Dolores debitis distinctio repudiandae molestiae corporis. Impedit ad aspernatur ea aperiam sequi. Nemo sint vel culpa. Unde voluptatibus nisi aut odit soluta assumenda illum ducimus.

Aspernatur perferendis fuga eos quo quisquam architecto voluptatem culpa. Voluptatem neque dolores repudiandae adipisci. Impedit voluptatem reiciendis occaecati laboriosam ut hic. Velit dolores enim non necessitatibus voluptatibus cupiditate enim. Voluptatibus et tenetur fuga. Ut dignissimos iste sed porro eveniet voluptatem.

Career Advancement Opportunities

June 2026 Investment Banking

  • Evercore 01 99.4%
  • Moelis & Company 01 98.8%
  • JPMorgan 01 98.3%
  • Guggenheim Partners 01 97.7%
  • Morgan Stanley 07 97.1%

Overall Employee Satisfaction

June 2026 Investment Banking

  • Moelis & Company No 99.4%
  • Morgan Stanley 02 98.8%
  • Evercore 01 98.3%
  • BMO Capital Markets 12 97.7%
  • Banco Santander 01 97.1%

Professional Growth Opportunities

June 2026 Investment Banking

  • Evercore 01 99.4%
  • Moelis & Company 01 98.8%
  • Morgan Stanley 05 98.3%
  • JPMorgan No 97.7%
  • BMO Capital Markets 12 97.1%

Total Avg Compensation

June 2026 Investment Banking

  • Vice President (14) $434
  • Associates (44) $258
  • 3rd+ Year Analyst (8) $210
  • 2nd Year Analyst (22) $179
  • Intern/Summer Associate (13) $156
  • 1st Year Analyst (78) $151
  • Intern/Summer Analyst (72) $101
notes
16 IB Interviews Notes

“... there’s no excuse to not take advantage of the resources out there available to you. Best value for your $ are the...”

Leaderboard

1
redever's picture
redever
99.2
2
kanon's picture
kanon
99.0
3
Secyh62's picture
Secyh62
99.0
4
BankonBanking's picture
BankonBanking
99.0
5
Betsy Massar's picture
Betsy Massar
98.9
6
DrApeman's picture
DrApeman
98.9
7
dosk17's picture
dosk17
98.9
8
CompBanker's picture
CompBanker
98.9
9
GameTheory's picture
GameTheory
98.9
10
numi's picture
numi
98.8
success
From 10 rejections to 1 dream investment banking internship

“... I believe it was the single biggest reason why I ended up with an offer...”