Finance teams evaluating AI assistants face a practical question: which tool should we use and for which tasks? The answer depends on your specific workflows and the type of work your team does most often. The good news is you do not need to choose a single tool because most teams benefit from having both available and using each for its particular strengths. The combined cost of ChatGPT Plus and Claude Pro is about EUR 40 per user per month which is negligible compared to the productivity gain for any finance professional working with data and documents daily.
ChatGPT is stronger at generating structured outputs. It writes Excel formulas with clear explanations, creates VBA macros for automation, generates SQL queries for data analysis, and produces organized tables and lists that can be copied directly into reports. The Advanced Data Analysis feature handles file uploads and produces charts, statistical analyses, and interactive outputs without additional tools. For ad-hoc analysis tasks that come up multiple times per day ChatGPT is faster and more flexible than traditional spreadsheet work.
Claude has a larger context window at 200K tokens compared to ChatGPT at 32K or 128K depending on plan. This means it can handle entire financial reports, policy documents, and model documentation in one session without losing track of earlier content. Claude is also more conservative with financial data and flags uncertainty explicitly when it cannot find a figure rather than inventing a plausible but incorrect number. For compliance-sensitive work this conservatism is a feature not a limitation.
Use ChatGPT for Formula and Data Work
The most common finance team request is formula generation. Complex Excel formulas with nested IF statements, XLOOKUP with error handling, and dynamic array formulas using LET and LAMBDA are faster to generate with ChatGPT than to write from scratch. The AI explains each formula argument so you can adapt the logic to your specific workbook rather than copying blindly. VBA macros for repetitive tasks like formatting reports or importing data files can be generated and debugged in the same conversation.
Prompt: Formula Generation (ChatGPT)
Generate Excel formulas for four common finance tasks and explain each function argument so I can adapt them to my specific workbook. First an XLOOKUP formula that finds a customer payment terms from a customer master table and shows a custom message if the customer is not found instead of the default N/A error. Second a SUMIFS formula that calculates total sales by region and month from a raw data table with 10,000 rows using two criteria. Third a dynamic array formula using LET and LAMBDA functions to create a monthly straight-line depreciation schedule for an asset with EUR 100,000 cost and 5-year useful life starting in January. Fourth a rolling 3-month DSO calculation that averages the last three months of accounts receivable divided by average daily revenue to smooth seasonal effects.Use Claude for Policy Review and Large Documents
Finance policies are long documents that need careful review for internal consistency and regulatory alignment. A 30-page policy on travel and expense contains dozens of rules that should not contradict each other but often do because different sections were written at different times by different people. Claude reads the entire document at once and identifies inconsistencies that a human reviewing section by section would miss. The large context window also makes Claude ideal for reviewing complete financial models, full contract libraries, and entire regulatory filing documents in one pass.
Prompt: Policy Review (Claude)
Review the attached finance policy document which is over 30 pages covering travel, procurement, expense reimbursement, approval authority, and asset management. First summarize the key policies in five bullet points covering one major policy area each. Second identify any inconsistencies between sections such as the travel policy approval threshold conflicting with the expense policy threshold or procurement limits that differ from the approval authority matrix. Third check that approval authority limits are clearly defined for each transaction type including travel, procurement, capital expenditure, and contracts, and verify that escalation paths are documented for amounts above the maximum authority level. Fourth identify any areas where the policy does not align with GAAP or IFRS requirements such as revenue recognition criteria, lease classification criteria, or impairment testing triggers. Fifth suggest five specific improvements for clarity, completeness, or alignment with current regulations ranked by priority.Start with one tool for two to four weeks and then add the second for tasks where the first is weaker. Most teams end up keeping both subscriptions because the total cost is trivial compared to the time savings from using the right tool for each specific task. For regulated industries use enterprise versions of either tool with data privacy guarantees that ensure your data is not used for model training and stays within your controlled environment.