Recognition
Do you recognize yourself?
Your advice or management repeats "doing AI", no more.
Employees use AI tools on their own, without supervision.
You tried a few tools, without any measurable results.
You fear for the confidentiality of your data, with good reason.
Vendors sell you magic, and you have no yardstick to judge by.
What it costs your business
Two mistakes are costly, in the opposite direction. Do nothing: your competitors are automating tasks that you still pay for manually, and the productivity gap is slowly widening. Do anything: AI projects launched without a clear use case consume budget and internal credibility, and make the next initiative, often the right one, much more difficult to get approved.
Delivery
THE GXN INTERVENTION
We start with your processes, not the technology. We identify two or three areas where AI can deliver measurable value, assess feasibility, costs and risks, then implement them with real attention to confidentiality and team adoption.
Decision benchmark
START WITH A PROCESS, NOT TECHNOLOGY
The question that opens all our AI mandates: What costs you time every week, repeatedly, and based on text or documents? This question eliminates 80% of bad ideas in one conversation. It leads to concrete gains, document processing, repetitive responses, information extraction, classification, rather than impressive and useless projects. Technology comes later, and only once the process is understood.
Decision benchmark
WHY THE PLUPART OF PROJECTS IS FILLED
There are four constant causes:
- 01The bad use case : a project chosen because it is spectacular rather than because it costs time today.
- 02Data missing or out of order : AI cannot compensate for missing or inaccurate information. It amplifies the problem.
- 03Adoption ignored : A tool that no one uses has no value, no matter how brilliant it is. Adoption is designed from the start, with the people involved.
- 04Underestimated costs : implementation is only one part; maintenance, monitoring and evolution of models continues.
Our approach tackles the four key areas upfront. It may not be as flashy as a dazzling demo, but it’s much more cost-effective.
Decision benchmark
USE CASES BY FUNCTION
- Document processing : extract information from invoices, contracts or forms received in volume, without re-entry.
- Internal research : allow your teams to find an answer in your procedures and documents in seconds rather than minutes.
- Assisted customer service : prepare answers to repetitive questions, validated by a human before sending.
- Classification and routing : sort incoming requests to the right person, automatically.
- Executive summary : summarize voluminous files to prepare a decision.
Each example has one thing in common: a measurable time saving on a task that already exists in your home.
Decision benchmark
PRIVACY AND AI
Questions to ask before any implementation: where does your data go? are they used to train models? who has access to it? what is left at home? Architectures exist to keep sensitive information under control, and the choice of model and hosting changes everything. We deal with these questions at the beginning of the project, not at the end. For the legal obligations applicable to your data, your legal advisor remains the reference: GXN offers technical implementation and operational support.
Scope
WHAT’S INCLUDED
Process analysis · identification and prioritization of opportunities · feasibility and cost assessment · justified choice of models · architecture respectful of confidentiality · implementation · integration into your systems · training and support for adoption · documentation · development roadmap.
Process
HOW IT HAPPENS
- 01Evaluation : your repetitive processes and irritants.
- 02AI opportunity assessment : structured opportunity analysis.
- 03Recommendations : two or three encrypted tracks, or an assumed “not now”.
- 04Proposal : scope, schedule, cost.
- 05Implementation : in stages, with real users.
- 06Verification : results measured against the initial situation.
- 07Commissioning : supervised training and adoption.
- 08Ongoing support : monitoring, adjustments, evolution.
Qualification
GOOD CANDIDATE / LESS GOOD CANDIDATE
For you if: repetitive text- or document-based tasks cost hours each week · you want measurable gains, not a showcase · you agree to involve the relevant teams. Not for you if: the goal is to “do AI” for the image · your processes are not yet defined · you are looking to replace people with technology without revising the work itself.
The scope and modalities are specified after the evaluation, before any commitment.
Frequently asked questions
FAQs
01Will AI replace our employees?
Honestly: it displaces time, it does not replace judgment. Implementations that work free up hours on menial tasks to put them back on higher value work. Those that aim for pure substitution often fail, both technically and on a human level.
02Is our business data safe?
It depends entirely on the architecture chosen. It's a design decision, not a box to check, and we address it early in the project.
03What is a sensible starting scope?
Enough for a real, measured use case, with adoption support. Below, you will finance an experiment without follow-up. The assessment will give you an honest threshold.
04Is ChatGPT enough for a business?
Often, yes, for individual use. It's not enough when you need to integrate your systems, control confidentiality, guarantee consistency, or deploy to a whole team.
05Should we use an existing AI product or build a custom solution?
Frequently, an existing solution is sufficient, and we will tell you this rather than selling development. See our AI Development page for the complete decision framework.
Describe a repetitive task that costs your team time. We will tell you if the AI creates real value there, or not.