Data Governance: Simplify Business Access
In a few figures...
25%
organisations have placed the catalogue de données among their priorities in 2024.
2025
One in five European companies already uses at least one AI technology.
82%
organisations
do not yet have a governance/catalogue solution in place within their governance programme.
Our approach to data governance
Many businesses have invested in a data catalogue without managing to turn it into a genuine everyday tool. Too technical, too abstract, too far removed from business reflexes: the catalogue often remains confined to a few experts. With AI Data Knowledge, we help data leadership to make the data governance more concrete and more useful, thanks to an AI agent that allows data metadata to be queried in natural language and finally brings the data catalogue closer to its users.
More accessible data governance
We step in when data governance exists on paper, but remains difficult to activate in practice. Roles are defined, a catalogue is sometimes already deployed, and metadata is documented, but accessing information remains complex for business users. The result is that users continue to ask IT or data experts for simple answers, which hinders adoption and slows down the circulation of knowledge.
An AI agent connected to your data catalogue
We are implementing an AI agent capable of connecting to your existing data catalogues to extract and deliver useful metadata information. The user formulates their request in natural language, as with a conversational assistant, and obtains a simpler, more direct, and more actionable response. When the context warrants it, the agent can also be connected directly to the data to enrich its analysis, with built-in safeguards to prevent inappropriate queries.
Make the data catalogue finally useful for business.
The aim isn't to replace existing governance tools, but to make them more accessible. The data catalogue remains essential for documenting, linking, and governing data assets, but it's often perceived as too technical by end-users. By adding a conversational interface, we lower the barrier to entry and facilitate adoption by business users, without compromising governance requirements.
Give data stewards and data managers more leverage
The approach doesn't just benefit business users; it also helps governance stakeholders to better track requests, identify areas of misunderstanding, improve metadata quality, and better prioritise their efforts. To achieve this, we are planning a request tracking and governance module, as well as a dedicated module to assist data managers and data stewards in their duties.
The key deliverables
- AI Data Knowledge agent configured to query your metadata
- Connect to existing data catalogue via API
- Option for direct connection to certain data sources, as needed
- Safeguards on requests and terms of use
- User request tracking and governance
- Module for data stewards and data managers
- Recommendations for improving document adoption and quality
- Clear restitution for data management and business stakeholders
The benefits
Make data governance more concrete
We help businesses transform a subject often perceived as abstract into simple, visible, and useful everyday applications.
Improve data catalogue adoption
We facilitate access to metadata with a more intuitive natural language experience for business users.
Reduce reliance on experts
Users find the right information more easily without systematically going through IT, data stewards or data teams.
Accelerate data research and understanding
We help teams identify useful datasets, definitions, rules and contextual elements for action more quickly.
To give the data director more visibility
Tracking requests highlights users' actual needs and helps to better prioritise governance actions.
Our 5-step approach
1. Understanding the barriers to use
We are analysing how your data catalogue is used today, the bottlenecks, business expectations, and the limitations of the current experience.
2. Connect the agent to your environment
We are connecting the AI agent to your existing catalogue to allow it to exploit the metadata already documented and provide the expected answers.
3. Secure interactions
We are implementing the necessary safeguards to frame requests, filter inappropriate uses, and ensure a level of control consistent with your governance.
4. Improving the data access experience
We are working on how users query the agent, understand the responses and access information useful for their decisions or operations.
5. Driving long-term adoption
We follow requests, expressed needs and friction points to help data management evolve documentation, rules and governance priorities.
The expert's word
Pascal DURY
VP Data management – JEMS
«A data catalogue is only valuable if it is actually used. The challenge today is no longer just about documenting, but about making this knowledge accessible to business users.»
Pascal DURY
VP Data Management – JEMS
Our additional services
How can we help you ?
AI for Business
Deploy a useful, measurable AI in your business, fully integrated into its operations.
Agent-based AI
Deploy AI agents capable of automating, orchestrating, and adapting business processes, with a progressive, interoperable, and value-oriented approach.
AI Acculturation
An offer to help business leaders understand AI, identify high-impact use cases, and launch proof-of-concepts (POCs) ready for implementation in under 6 months.
IA Act compliance
A structured offering to help frame, steer and operationalise the AI Act requirements with a regulatory, technical and data-driven approach.
Data Platform
A key, secure, and scalable all-in-one data platform, designed for SMEs and mid-sized companies that want to take action without embarking on a long, costly, and complex project.
Examples of achievements
Make your data governance more useful for trades
Chat with a JEMS expert to simplify access to your metadata and improve the adoption of your data catalogue.
