1
Challenge → Response
Fragmented knowledge
A shared representation of the domain with meaning, relationships, provenance and validity.
Public sector
Scale public-sector AI with a reusable, governed knowledge infrastructure
GenInContext lets different AI initiatives share regulations, procedures, case files, evidence, permissions and criteria on a single foundation, avoiding more silos and rebuilding context for every project.
Scale municipal or institutional AI without multiplying silos
AI adoption doesn't fail for lack of models. It fails when each solution rebuilds its own context, rules, connectors and evidence.
2
Challenge → Response
Context duplicated in every solution
Governed, reusable context for every query, agent or process.
3
Challenge → Response
Results that are hard to explain
Evidence, sources, applied criteria and traceability for oversight and auditing.
4
Challenge → Response
Dependence on models and vendors
A model-independent knowledge layer that preserves institutional control.
A cross-cutting infrastructure for citizens, case-handling staff and agents
The same organizational reality can be used by different people and systems without creating an isolated knowledge base for each channel.
C
Citizen services and guidance
Answers about services, procedures and regulations, with evidence and validity criteria.
G
Support for case-handling staff
Lookup of procedures, case files, regulations and internal criteria with traceability.
A
Agents and public-sector automation
Assisted or automated processes with permissions, validations and Human-in-the-Loop based on criticality.
The knowledge infrastructure grows domain by domain
There is no need to model the entire administration from the start. Each validated domain can be reused in new services, agents and processes.
Priority domain
Regulations, case files, processes, users and evidence.
Institutional validation
Experts review meaning, rules, validity and permissions.
First service
Assistant, agent, automation or case-management support.
Cross-cutting reuse
New departments use the same shared foundation with their own context.
Governance, sovereignty and integration by design
GIC complements data platforms, portals, BPM, case-management systems and agents; it doesn't require replacing the existing architecture.
S
Knowledge sovereignty
Control over data, institutional knowledge, deployment, models and integrations.
T
Traceability
Verifiable sources, criteria, permissions and execution steps.
H
Human-in-the-Loop
Human validation wherever risk or public accountability requires it.
↔
APIs and MCP
Use of the cognitive foundation and GIC capabilities from other systems and platforms.
Featured experience
Use cases where knowledge, evidence and oversight are central to the solution.
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Justice
AI4Justice
Assisting legal professionals with case-file analysis and draft generation, with evidence, explainability and human validation.
G
Public services
ElMeuGencat / citizen services
A contextual knowledge base to guide public inquiries and reuse institutional knowledge across services.
Frequently asked questions
Is GenInContext only for citizen services?
No. It can support citizens, case-handling staff, internal analysis, assisted case processing, regulatory lookup, case files, agents and automations on a single governed foundation.
How does it help scale public-sector AI?
It lets you reuse knowledge, rules, evidence, permissions and context across departments and use cases, avoiding rebuilding the same logic and controls for every initiative.
Can it integrate with the administration's existing systems?
Yes. The approach is incremental, using APIs, connectors, events and MCP where applicable, minimizing migrations and preserving permissions and responsibilities.
Does it comply with ENS or the AI Act?
GIC includes controls and evidence designed to support alignment with ENS (Spain's National Security Framework), GDPR and the AI Act. Compliance and certifications depend on the final deployment and scope.
Ask the assistant
Explore how to scale public-sector AI without creating new silos
Ask about cross-cutting reuse, support for citizens and case-handling staff, integration or governance requirements.
Have a different question?
Want to stop every new public-sector AI project from starting from scratch?
We can identify a priority domain and design a reusable foundation for future services and agents.