Recognition
Does this sound familiar?
The tools on the market do not understand your domain or your vocabulary.
Your data is too sensitive to be transferred to a generic service.
You need AI to talk to your internal systems, not just a browser.
Your requirements for consistency and traceability go beyond what a mainstream tool offers.
What it costs your business
Forcing a generic tool to do specialized work costs in two ways: in constant contortions for your teams, and in poor results that undermine confidence in the tool. The judgment is exactly there, and this is the first thing we establish with you.
Delivery
THE GXN INTERVENTION
We first validate that customization is justified. If so, we design architecture, model, data, integrations, privacy, controls, and develop a solution that integrates with your systems and ways of working. Documented, measurable, and yours.
Decision benchmark
CUSTOM OR EXISTING SOLUTION?
| Your situation | Honest truth |
|---|---|
| Generic need: writing, summary, web research | Existing solution. They are excellent and inexpensive. |
| Specialized need, but a market tool covers 80% | Existing solution + configuration. The last 20% rarely pays off. |
| Your data must remain within infrastructure you control | Custom. Architecture becomes the heart of the project. |
| AI must read from and write to your internal systems | Custom. This is the natural terrain for development. |
| You need consistency, traceability and controls | Custom. Consumer tools do not offer these guarantees. |
We'll tell you frankly where you stand, even when the answer doesn't give us a mandate.
Decision benchmark
CHOOSE A MODEL BASED ON REQUIREMENTS, NOT BRAND LOYALTY
Model choice is an engineering decision, not a brand preference. Three criteria decide: confidentiality (where data passes and resides), the required performance (the minimum acceptable quality for the task, often more modest than we think), and the cost per use (multiplied by your actual volume, over twelve months). A smaller, well-framed model often beats a larger, poorly-framed model for a fraction of the price.
Decision benchmark
WHO MAINTAINS AN AI SYSTEM?
This question is often overlooked before a contract is signed. Models evolve, interfaces change, costs fluctuate and response quality must be monitored over time. An AI system is not install-and-forget software. We account for ongoing maintenance from the beginning through replaceable models, useful logging and a clear support framework.
Scope
WHAT’S INCLUDED
Validation of need (measured or not) · technical and confidentiality architecture · choice of supported model · development · integration with your systems · quality control and logging · testing with your actual data · training · documentation · maintenance and evolution plan.
Process
HOW THE PROCESS WORKS
- 01Evaluation : the need, the context, the constraints.
- 02Assessment : feasibility, architecture, costs.
- 03Recommendations : custom, existing, or hybrid.
- 04Proposal : scope, schedule, cost, estimated usage cost.
- 05Web development : prototype first, validated with real users.
- 06Verification : tests on your data, quality measurement.
- 07Commissioning : supervised deployment, training.
- 08Ongoing support : monitoring, adjustments, evolution of models.
Qualification
WHEN THIS SERVICE IS A GOOD FIT
For you if: your needs are specialized and recurring · confidentiality is a real constraint · AI must be integrated into your internal systems. Not for you if: a market tool covers most of the need (you will be told) · the use case is not yet validated (assessment first) · you are looking for an impressive demonstration rather than a tool used.
The scope and engagement terms are confirmed after the evaluation and before any commitment.
Frequently asked questions
FAQs
01What determines the scope of a custom AI agent?
It depends on the scope, integrations and privacy requirements. The assessment turns this question into a defensible figure, including the expected operating cost.
02Will our data be used to train AI models?
Not in a properly designed architecture. It is a technical requirement that we put in place from the outset, with the configurations and providers that respect it.
03What affects the delivery timeline?
A useful prototype is usually built quickly; full production depends on integration. The assessment gives a realistic timeline.
04What if the models change in a year?
They will change, that's for sure. We design so that the model is replaceable without rewriting the application. It's an architectural decision made on day one.
Describe what no tool on the market does for you. We will tell you if custom is justified, frankly.