Product · Software · AI agents
Custom AI solutions and agent development
From prototype to useful software, each solution is built for a precise job and the people who will actually use it.
Who it is for
- Organizations whose need does not fit a generic tool
- Teams seeking a copilot connected to internal knowledge or systems
- Product or operations leaders validating a solution before scaling it
Starting signals
This service becomes useful when…
- 01
A user must search across several sources to complete a frequent task.
- 02
Internal expertise could be made more accessible through a guided interface.
- 03
A process combines research, reasoning, tool use and validation.
- 04
You need a functional proof before choosing a long-term architecture.
Concrete engagement
What you receive
- Definition of the need, users and system boundaries
- A functional prototype or product within the selected scope
- Agreed integrations, evaluations and oversight mechanisms
- Technical documentation and an evolution plan
How we work
A three-part progression.
- 01
Define expected behaviour
We describe tasks, available tools, permissions and situations where the system must stop.
- 02
Prototype with real scenarios
We build a first version and evaluate it against representative examples, including difficult cases.
- 03
Strengthen what should last
We improve experience, reliability, observability and integration based on what the prototype teaches us.
A healthy boundary
What the approach does not claim to do.
An AI agent is not automatically the right architecture. Better search, a guided interface or a simpler automation can sometimes be more reliable and economical.
Before starting
Frequently asked questions
What is the difference between a copilot and an agent?
A copilot generally supports a person in a task. An agent can take a longer sequence of actions with bounded autonomy. The right choice depends on need and risk.
Can the solution use our internal documents?
Yes, when quality, access rights and confidentiality requirements allow it. The architecture must account for those constraints from the beginning.
Can a prototype become a production product?
Sometimes, but not automatically. The transition requires validation of security, performance, costs, operations and expected quality.
Exploratory conversation · 30 minutes
Bring the problem. We will clarify the next decision.
Bring a slow, costly or frustrating process. In 30 minutes, we will clarify what is worth improving and the most realistic next step.
Book a conversation