Four AI applications. Four different approaches. And all of them promise to simplify your day-to-day controlling tasks.
The differences often lie in the details and depend on specific requirements. This article explains what sets the four applications apart, along with recommendations for day-to-day finance operations.
AI in Controlling: What Finance Teams Need Today
According to a McKinsey study (2025), 52% of finance departments in Europe are already using generative AI for routine tasks. The most common applications in controlling are:
- Write monthly reports and management comments
- Prepare and structure budget and forecasting meetings
- Analyze and explain variances
- Prepare presentations for the Executive Board and steering committee
- Consolidate and validate data sets
All four apps can help with this. The question is: Which one fits your workflow?
The Evaluation Framework
The evaluation is based on five criteria that are relevant to day-to-day controlling activities:
- Analytical depth: How well does the application understand financial figures, planning logic, and variance patterns?
- Textual clarity: How precise and clear are reports, comments, and management texts?
- Integration: Does the application fit into your existing toolset?
- Data protection: What safeguards are in place for sensitive financial data?
- Accessibility: How quickly can a finance team without a technical background become productive?

Claude (Anthropic)
For: Analytical depth and complex planning tasks.
Claude isn’t just a chat app with AI-powered prompts. Claude is a model built for complex reasoning tasks. Working through long documents, weighing different scenarios against one another, and structuring planning logic: these are strengths that can be put to immediate use in day-to-day controlling.
Forecasting and Variance Analysis: If you want to understand why a plan didn’t work out and need to explain it in a structured way, Claude provides methodologically sound answers. No superficial summaries—just real analysis.
Reporting: Management reports, executive board presentations, monthly updates: Claude writes clearly and concisely. You provide the numbers and context; Claude delivers the text in your preferred style.
Data privacy: Anthropic offers enterprise contracts with data isolation. No training on company or user data. A key criterion for finance teams with sensitive planning data.
Limitation: No native access to Excel, Teams, or Outlook. Switching between Claude and your work environment takes an extra step. For teams that want to do everything in Microsoft 365, this can create friction.
ChatGPT (OpenAI)
For: Ad-hoc analyses, data processing, and brainstorming.
ChatGPT is OpenAI’s standalone AI application. You can open it in a browser or via the app, ask a question, upload a file, or have it generate text. It doesn’t integrate deeply with other tools, but it can handle a wide range of tasks.
Data Analysis: With the Code Interpreter (Advanced Data Analysis), ChatGPT can process Excel files directly, create charts, and identify patterns in datasets. This offers tangible value for finance teams that need to export raw data from a system and analyze it quickly.
Reporting: ChatGPT produces solid text. Budget comments, summaries, and first drafts for management updates: This is done quickly and is sufficient for most applications. For highly complex planning logic, Claude is more precise.
Data Protection: The free and Plus plans are subject to OpenAI’s standard terms of service. For use with corporate data, only the Enterprise plan is suitable, as it offers true data isolation.
Limitation: ChatGPT is a separate application. Users working in Excel or Teams must switch interfaces to access AI support. For many, this is an acceptable step; for others, it is a hurdle.

Microsoft 365 Copilot
For: AI directly in the workplace, without switching tools.
Microsoft 365 Copilot isn’t a standalone app. Copilot is integrated into Excel, Word, Teams, Outlook, and PowerPoint. You can keep working just as you always have. AI helps you right where you are.
Excel: Copilot in Excel suggests formulas, creates pivot tables, explains discrepancies in the spreadsheet, and generates charts at the click of a button. For finance teams that work in Excel every day, this is the most straightforward way to get started with AI support.
Teams and Outlook: Meeting summaries, action items from calls, email drafts: Copilot automates communication tasks that take up a lot of time in day-to-day controlling.
Data protection: With Copilot for Microsoft 365 Enterprise, Microsoft offers data protection with EU data storage. A corresponding enterprise agreement is required. Standard terms apply without an Enterprise license.
Limitation: Copilot is not a standalone thinking tool. For complex analyses or multi-step planning tasks that go beyond the immediate spreadsheet environment, Copilot reaches its limits faster than Claude or ChatGPT.
Gemini (Google)
For: Seamless integration with Google Workspace.
Gemini is Google’s AI application. It is directly integrated into Google Sheets, Docs, Slides, and Looker. For finance teams that use Google Workspace as their primary work environment, this is the logical starting point.
Google Sheets: Generate formulas, analyze data, create summaries: Gemini in Sheets works similarly to Copilot in Excel. The integration is native, and it’s easy to get started.
Reporting: Gemini works directly within Google Docs and Slides. Organizing reports, drafting text, and creating presentations — all of this happens within a familiar environment, without having to switch tools.
Privacy: Google Workspace Enterprise offers data protection agreements for corporate data without the need for training. The standard Google terms and conditions apply to the Standard plan.
Limitation: For teams that don’t use Google Workspace, Gemini isn’t the obvious choice. And when it comes to complex variance analyses or sophisticated planning scenarios, Claude has the edge.
The comparison at a glance
| Criterion | Claude | ChatGPT | M365 Copilot | Gemini |
|---|---|---|---|---|
| Analytical depth | Very good | Good | Moderate | Good |
| Reporting & commentary | Very good | Good | Good | Good |
| Variance analysis | Very good | Good | Moderate | Moderate |
| Data analysis / files | Good | Very good | Good | Good |
| Excel integration | Moderate | Moderate | Very good | Low |
| Microsoft 365 integration | Moderate | Moderate | Very good | Low |
| Google Workspace integration | Moderate | Moderate | Low | Very good |
| Data privacy (enterprise) | Very good | Good | Very good | Good |
| Ease of entry (no tech skills required) | Moderate | Good | Very good | Good |

Which application is best for which use case?
You need analytical depth when it comes to planning and variances
Claude is the top choice. Whether you want to analyze planning scenarios, explain variance patterns in a structured way, or write complex management reports, Claude delivers the most accurate results.
You want to quickly analyze files and evaluate raw data
ChatGPT with Code Interpreter really shines here. Upload Excel files, generate charts, and identify patterns—it’s quick and easy, with no technical knowledge required.
Your team is on Microsoft 365
Microsoft 365 Copilot is the logical choice. AI in Excel, Teams, and Outlook, without leaving your work environment. For finance teams that want to get up to speed quickly and start being productive right away, this is the fastest way — at least within the Microsoft ecosystem.
Your work environment is Google Workspace
Gemini. Sheets, Docs, Slides: AI is built right in. No need to switch tools, no friction.
Bottom line: Four applications. Four roles.
Claude, ChatGPT, Microsoft 365 Copilot, and Gemini are not interchangeable products. Each application has a distinct strength:
- Claude: analytical depth, complex planning tasks, precise reporting
- ChatGPT: ad-hoc analysis, data processing, wide range of tasks
- Microsoft 365 Copilot: AI for everyday use in Excel and Teams, without switching tools
- Gemini: AI in Google Workspace, seamlessly integrated
Using the right tool for the right job saves time. Using a one-size-fits-all approach leads to unnecessary friction.
AI for Finance & Controlling
Which AI really fits your finance team?
The comparison shows the differences – but the right choice depends on your processes, data, and tools. We help you find the right AI solution and integrate it directly into your controlling workflows.
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