Which AI tools are you using at work?

On the Excel side, which has been most helpful for you? Currently evaluating Shortcut and Tracelight, any others worth thinking about? 

On the data room / deal life end-to-end management, what has seemed most beneficial? I've heard about F2 and Hebbia. 

Any others worth thinking about beyond GPT & Claude? 

7 Comments
 

Based on the most helpful WSO content, here are some insights:

Excel Tools:

  • Excel Toolboxes: Custom-designed toolboxes can be incredibly helpful for day-to-day tasks. Examples include:

    1. Issue Trackers: Columns like Unique Identifier, Status (open/closed), Open Date, Priority (H/M/L), Related Risk, Remediation, Close Date, etc., are lifesavers for tracking and managing tasks.
    2. Dashboards: A 3-tab setup (Dashboard, Pivots, Flat File) for visualizing data without relying on VBA.
    3. Financial Models: Tools like Black-Scholes models for beta of risky debt or real options, and credit tests like Altman's Z-score.
  • Excel Resources: WSO offers resources like Excel shortcuts, self-study guides, and advanced formulas, which can enhance productivity.

Deal Life Cycle / Data Room Management:

  • Custom CRMs: A CRM with dashboards for industry updates, financial inputs, M&A activity, and a modern interface can streamline processes.
  • Deal Trackers: Apps to manage buyer lists, working group lists, diligence status, and timelines are highly beneficial. While specific tools aren't named, the concept of a tailored deal tracker is highly recommended.

AI Tools:

  • Shortcut and Tracelight: While not explicitly mentioned in the WSO content, these tools could be evaluated for their specific functionalities.
  • F2 and Hebbia: These tools are not detailed in the WSO dataset, but exploring their capabilities in data room and deal management could be worthwhile.
  • GPT & Claude: These are powerful for generating insights, automating repetitive tasks, and summarizing reports.

Additional Suggestions:

  • HelloSign: For document management and signatures.
  • Carta: For cap table and equity management.

If you're looking for more tailored recommendations, consider tools that integrate seamlessly with your existing workflows and offer customization for finance-specific needs.

Sources: What kind of tools / apps do you wish existed in the industry?, Tricks of the Trade, The Data Room Your Deals Deserve, https://www.wallstreetoasis.com/forum/hedge-fund/machine-learning-taking-over-hf-research-analyst-roles-in-near-future?customgpt=1

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

worth separating these into two different problems because the tools that are good at one tend to be mediocre at the other.

for the excel/modeling side, honestly most of the dedicated ai-for-excel tools are still pretty early. i've seen teams get more mileage out of just using claude or gpt directly to write complex formulas, debug circular references, or build out sensitivity tables from scratch. the dedicated plugins are mostly just wrappers around the same underlying models with a convenience layer. if you're evaluating shortcut and tracelight, pressure test them on something specific to your workflow, like EBITDA bridge adjustments or building a quick lbo from a CIM's financials, and see if the output actually saves time vs just prompting claude in a side window.

on the data room side, hebbia is genuinely interesting for large doc set extraction. where it gets tricky is the unstructured nature of most VDRs. every bank formats their CIMs differently, financials come in as pdfs with wildly inconsistent table structures, and half the critical stuff is buried in footnotes or appendices. the tool matters less than how well it handles YOUR specific data mess.

one thing i'd add to your eval criteria: don't just test on clean sample docs. throw the ugliest, most poorly formatted data room you've dealt with at each tool and see what breaks. that's where real differentiation shows up.

 

Process management is a coordination problem and AI becomes less relevant. firms I've seen do this somewhat well use something simple like monday or asana with lightweight automation on top. Auto-pulling status from email threads, flagging stale workstreams, generating a weekly rollup partners can skim in two minutes. Nothing groundbreaking. If I were evaluating tools for this, I'd focus on how easily it integrates with whatever your team already uses, and how consistent it is when input gets more varied (need to stress test - not a demo).

 

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