AI Data Readiness: prepare your data
to make your AI applications more reliable
and maximise their impact
Optimise the reliability of your data
Making data intelligible for AI is a strategic imperative for the success of your artificial intelligence projects. At Everience, we combine our expertise in knowledge management and change management to turn your data into a real lever for performance and reliability for your AI models. Our AI Data Readiness expertise covers the entire data preparation, transformation and governance cycle to ensure the relevance, security and compliance of your AI uses.
Our 5 differentiating strengths:
- Integrated approach: a proven 4-step methodology (appropriation, evaluation, transformation, management)
- Excellence in knowledge management: detailed structuring and contextualisation of data
- Governance expertise: regulatory compliance (GDPR, traceability) and dynamic database management
- Accelerated transformation: use of prompting and real-time database optimisation
- Sustainable support: adoption, team federation and agile management over time
Our key figures
Our AI Data Readiness services
Our experts conduct a comprehensive audit of your databases to assess their compatibility with artificial intelligence models. We analyse data quality (consistency, accuracy, completeness) and contextualisation to identify risks and remove barriers to AI exploitation. This assessment phase enables us to define a clear action plan to ensure the reliability of your future use cases.
We implement advanced data transformation and data enrichment techniques to ensure optimal feeding of AI models. Using approaches such as prompt engineering, automated cleaning and semantic restructuring, we transform your databases into a truly reliable foundation. This step results in more accurate, powerful AI models capable of generating reliable responses.
High-performance AI relies on robust data governance. We define management and update rules tailored to your needs: editorial charter, linguistic standardisation, multilingual management, regulatory compliance (GDPR), access security and monitoring of dependencies between data sets. This approach to data governance guarantees the traceability and reliability of your databases over the long term.
Beyond technical preparation, we help you place your AI projects at the heart of your activities. Our expertise in change management enables us to bring teams together and maximise the adoption of AI solutions. We support your business lines in aligning AI with your operational objectives, ensuring smooth integration into your existing processes. AI thus becomes a strategic and sustainable tool, rather than a simple isolated project.
We implement an agile and iterative testing strategy to measure the performance of AI models in real-world conditions. Our experts identify weaknesses (data quality, model limitations) and quickly correct them to optimise results. This piloting and industrialisation phase secures your projects, accelerates their production launch and ensures continuous improvement.
