A
Internal assistants and support
Access to documentation, procedures and internal knowledge, with sources and context.
SMEs
Better-structured AI from the start, without building a complex stack
GenInContext lets you start with a concrete use case and leave a reusable foundation of knowledge, context and operational logic for future assistants and automations.
Start with a real need, not an oversized platform
The goal is to solve a concrete problem and build only the foundation that domain needs.
D
Document automation
Classification, extraction, generation and validation of documents and repetitive tasks.
K
Centralized, reusable knowledge
A shared foundation so future use cases don't start from scratch again.
Incremental adoption that leaves lasting capability
Prioritize
A process or need with clear value.
Build context
The sources, knowledge, rules and evidence you need.
Launch
An assistant, automation or agent with validations.
Reuse
New use cases build on the previous foundation.
Governance without unnecessary complexity
Company size doesn't remove the need for control, but the design must be proportionate.
✓
Verifiable sources
Answers and outputs linked to evidence.
P
Permissions
Context adapts to each user and access level.
H
Human-in-the-Loop
Human validation where it adds safety or quality.
↔
Practical integration
APIs and connectors to make the most of existing tools.
Experience with growing companies
M
SME / services
Medicorasse
AI applications and applied knowledge for service processes.
F
Services
FIATC
Applied AI experiences on insurance processes and documentation.
Frequently asked questions
Do I need an existing AI platform?
No. GIC can integrate with existing tools or provide the capabilities needed to deploy your first assistant, agent or automation in a governed way.
Do I have to build a whole knowledge architecture?
No. The approach is incremental: we model the domain and knowledge needed for the priority use case and expand only when it adds value.
Can what we build be used for other use cases?
Yes. The foundation of knowledge, context, rules and evidence can be reused in new assistants and automations.
How is the cost determined?
It depends on the domain, sources, integrations and level of operation required. We usually start with a controlled scope that leaves a reusable foundation for future use cases.
Ask the assistant
Start with the concrete problem, not a big platform
The assistant can guide you on how to launch a first use case while leaving a reusable foundation for the next ones.
Have a different question?
Do you have a clear first use case?
We can define sources, integrations, controls and a reusable foundation without oversizing the architecture.