Integrate AI into your teams' tools
Finding information, sorting requests or drafting a reply: we study how AI could be used in your business. We test a first scope with your data before deciding whether to integrate it into your tools.
Use cases to assess together
Where can AI help your teams?
Our AI integration support starts from a specific task and how it works today. We assess the time spent, the volumes, the available sources and the acceptable error rate. These elements serve as the benchmark for judging the prototype. A conventional automation or an improvement to your software may also be chosen if that solution better meets the need.
Search your documents
An assistant can help find information in a set of authorized documents. We look at how sources are kept up to date, the access rights and whether the elements used to answer can be verified.
Organize incoming requests
Classifying a message, extracting information or suggesting a routing: these uses are tested on representative examples, with a process planned for uncertain cases.
Help prepare content
AI can prepare a summary or a draft from available information. Your teams keep the final approval when the quality of the answer or its distribution requires it.
AI integration and GEO visibility: two distinct needs
This service concerns your internal tools and processes. If your goal is to appear in the answers of ChatGPT or other AI engines, our GEO support focuses on your visibility and your content.
Test before scaling
The stages of your AI integration
- 01
Choose the use case
We describe the task, its users and the expected result. We define criteria to compare the trials with how things work today.
- 02
Review the data
We check the available sources, authorized access and confidentiality constraints. The choice of tools takes into account data hosting and processing conditions.
- 03
Run a first test
We test a prototype on representative examples, including ambiguous requests and missing information. Your teams check the answers, the processing time and the manual corrections needed. The review helps decide whether the solution can be integrated, needs adjusting or is not worth pursuing.
- 04
Integrate into your tools
If the trials are conclusive, we prepare the connections, access rights and human checks. Deployment follows a scope approved with your teams.
- 05
Support and monitor
We explain the uses and limits of the solution. Tracking feedback, costs and quality helps decide on the fixes or changes needed.
Start with a specific task
Bring an example of repetitive work or information searching: it will be the starting point for scoping.
Let's discuss your businessGo-live and what comes next
A solution whose limits are known
You receive the trial results, the selected use cases and the conditions of use for the solution. We document the sources, access rights and situations to hand over to a person. Since an AI answer can be wrong, checks are matched to the possible consequences. Monitoring specifies who updates the data and checks quality after a change to the model or the documents.
- Sources and access defined by user.
- Shared test examples and quality criteria.
- Human approval for actions that require it.
- Monitoring of costs, errors and model changes.
Got a question?
Your questions about ai integration for businesses
Yes. We favor a first, clearly bounded use case, identified users and representative test examples. The results help decide whether to continue, adjust or drop the approach.