Who it’s for
Businesses with a concrete case where AI can help: classify, extract, summarise or assist a repetitive task, with human control.
The problem
Many businesses want “AI” without a clear use case. Without a frame, the result is vague, unreliable or hard to use day to day.
Use cases
- Classify or extract information from documents
- Help a team prepare a reply or a summary
- Speed up a repetitive task with human validation
- Add targeted assistance inside an existing tool
What we deliver
- Assistants scoped to a precise business need
- Information extraction and classification
- Decision support with human control
- Limits and safeguards adapted to the context
Benefits
- Acceleration on targeted tasks
- Better controlled quality
- Clearer use for the team
- Less time lost on repetitive work
Pricing — Custom quote based on scope.
Project steps
- 01
Clarify the use case
- 02
Controlled prototype
- 03
Human validation
- 04
Implementation in your environment
- 05
Follow-up and adjustments
What you provide
- Real examples of data or documents (with confidentiality respected)
- Rules for what is acceptable or not
- Business people to validate results
- Access to tools where assistance should appear
Follow-up after delivery
After implementation, we adjust based on real feedback. AI often needs iterations; support terms are defined according to the project’s needs.
Maintenance and supportFAQ
How does quoting work?
We start from a concrete use case, available data and the level of human control wanted, then propose a realistic first scope.
Who prepares examples and content?
You provide representative examples. Without real data, it is hard to build something useful.
Do we already need a digital tool?
Not necessarily, but embedding AI in an existing process or tool is often more useful than an isolated project.
When do we see a first result?
Often through a controlled prototype, before a broader rollout. That avoids investing in the wrong direction.
What happens after delivery?
We refine based on real use. Follow-up can be needed because cases evolve and results must stay reliable.
Are there recurring costs?
Often yes: AI service usage, hosting or follow-up. We separate them from the setup cost.