Which AI should your business choose for its work?
ChatGPT, Claude, Gemini… Choose based on your work, your tools and your rules.
Frame your choiceOne-off help? A professional offer may be enough. A recurring flow? Also evaluate connections and controls.
Explore the criteriaYour starting point.
The task, data allowed and full cost will decide the options.
Help a personVarious tools
Try ChatGPT and Claude.
Compare their professional offers, with identical authorized sources and expected output.
- The test
- A summary, verified by the person who must use it.
- Control
- Exact plan, permissions, retention and cost of corrections.
Method preselection. No use of AI or simulated performance.
Options to test, based on your needs.
Start with your environment. Then compare on your sample.
| Options | Why review it | What remains to be verified |
|---|---|---|
| ChatGPTBusiness / Enterprise offers | Why review itWorkspace and connected apps, depending on the capabilities enabled. Source OpenAI (new tab) | To checkAvailability of apps, authorized actions and actual access to data. |
| ClaudeTeam / Enterprise offers | Why review itConnectors to read and act in related services. Source Anthropic (new tab) | To checkUseful connectors to the file, authentication and action restrictions. |
| GeminiIn Google Workspace | Why review itWorth considering if you work in Gmail, Docs, Drive, or Meet. Source Google (new tab) | To checkThe eligible edition, the app, the accessible sources and the conservation. |
| Another wayCopilot, API, hosted model | Why review itAssistant already present or deployment responding to a specific constraint. Microsoft (new tab) · Mistral (new tab) | To checkLicense, business compatibility, infrastructure and maintenance. |
Sourced product facts. No ChatGPT/Claude/Gemini benchmarks have been run for this page.
Data can change the choice
A professional offer and a personal account do not necessarily have the same conditions. Check the training, retention, processing location, subcontractors and rights of each connection. An imposed hosting rule may exclude certain options before any testing.
OpenAI describes protections and limits specific to its offerings and configurations. Google distinguishes between Workspace surfaces and the Gemini app. A model running locally does not automatically render its tools or connectors local.
OpenAI ProtectionsMistral local executionRights and data security
What you choose.
Interface or API: two possible accesses to the model, with different functions and conditions.
- Model
- The engine. Version and settings to be recorded.
- Interface
- You work in the application.
- API
- Your integration calls the template.
- System
- Your sources, rules, validations and traces around the work.
- Professional offer
- It supervises the application. On the API side, check for separate conditions and costs.
A better model does not fix a wrong source.
A test on your work.
The same entry allowed. An expected release. A missing element to spot.
Fictitious extract
“Léa prepares the summary for the next meeting. ”
Expected output
Action: prepare the summary.
Responsible: Léa.
Source: this extract.
Check the deadline
Date to be confirmed.
The extract does not date the meeting. The output must signal this absence, without inventing a deadline.
Illustrated protocol. No models run.
Prepare an actionable assessment
Choose a small set of real authorized or anonymized cases, including missing information, a contradiction and an out-of-scope request. Define in advance what a good release contains, what it should not invent and what should be left to a person.
Keep entries, sources and criteria the same. Record date, model version, offer, interface or API, settings and activated tools. Have the answers checked by the profession: accuracy, omissions, corrections, latency and supervision time. Include licenses, consumption, integration and maintenance in the complete cost.
Replay these cases if the need, sources, model or cost evolve. A migration may require adapting instructions, formats, connectors and controls. Maintaining a possibility of feedback allows you to benefit from demonstrated progress without changing the system with each announcement.
Choose. And be able to evolve.
Your time must serve the profession. BM takes care of the technical and operational complexity.
BM Targeted monitoring, testing of your work, connection to tools, validations, exceptions and monitoring.
Your team Priorities, authorized data, acceptance criteria and decisions.
A competent team can do this in-house. Occasional use can remain simple. We intervene when the method and integration deserve a partner.
Frame your choiceBefore choosing.
Which AI is best for my business?
The one that meets your criteria on the tasks to be carried out, in the authorized offer and configuration. ChatGPT, Claude and Gemini must be compared on the same sample. Announcements and public rankings guide monitoring; they do not prove the quality on your records. A recommendation remains dated and revisable.
Is it necessarily necessary to call on BM?
No. One-off use or an available and competent internal team may be sufficient. A partner becomes useful for selecting monitoring, evaluating the business, linking tools and monitoring controls over time. Scattered tests also cost time: tool changes, rework, integrations to be corrected and missing measurements.
Professional offer and API: are they equivalent?
These are two areas to be examined separately. A professional offer governs a workspace and its functions. An API allows programmable integration, with its own conditions, capabilities and costs. Do not infer the rights, limits or billing of one from the other. The connected system further adds its sources, its rules and its exploitation.
Can you change models easily?
It depends on the tools and controls used. Planning for change from the design stage reduces certain dependencies, without guaranteeing total interchangeability. It is necessary to retest the outputs, formats, connectors and instructions. A false source or poorly defined process will remain a problem with a more efficient model.