Make use of your documents and knowledge.
Find information in reports and reference materials, connect sources and prepare traceable summaries. AI helps make a body of information usable for analysis or decision-making.
Artificial intelligence
Identify useful applications, design the right tools and make them part of everyday work. Our consultants and engineers work with your teams to turn data and artificial intelligence into new capabilities for analysis and action.
Let’s explore your use casesFrom data to practical use
Consulting, design and delivery move forward together. Each stage tests the solution’s usefulness and prepares teams to use it.
Start with a task, decision or service to improve. We assess expected value, data availability and organisational constraints to prioritise use cases and define measurable success criteria.
What you gain
Consultants, engineers and users design the journey and prototype together. Information sources, technical choices and validation points are defined around the use case, giving teams a tool they can put to the test.
What you gain
Run a pilot using situations representative of everyday work. Response quality, time saved, cost and ease of use are compared with existing practices. The results and limitations inform the decision to deploy or adjust.
What you gain
Integrate the tool into processes, train teams and organise quality monitoring. We support launch and handover, with clear responsibilities for overseeing use, addressing errors and developing the solution.
What you gain
Data quality, confidentiality and the role of your teams are considered from scoping and throughout the project.
The applications we build
Documents, data and knowledge become resources people can use in their work. We design each application around a specific mission and the people responsible for it.
Find information in reports and reference materials, connect sources and prepare traceable summaries. AI helps make a body of information usable for analysis or decision-making.
Analyse open-ended responses, surveys and service-user feedback to identify recurring themes and track their evolution. Findings are put into context with the teams who know the field.
Design assistants to query a knowledge base, prepare a case file or guide someone through a process. Human validation and referral to a professional are organised around each use case.
Getting started
Yes. We work with your teams to examine the tasks, decisions and services that could benefit from AI. Use cases are prioritised according to their expected value, the data available and implementation constraints. Scoping also identifies needs that a simpler solution would serve better.
Our consultants and engineers work together on scoping, design and delivery. Depending on your needs, we develop a prototype, run a pilot and support integration alongside your technical teams and partners.
During scoping, we identify which data can be used, its sensitivity and the access rules. Hosting, model and retention choices are reviewed with your technical and security leads. These requirements shape the architecture and the scope of the pilot.
Before the pilot, we define success criteria and a test protocol covering response quality, traceability, working time, cost and ease of use. Representative situations, including difficult cases, help document errors and limitations. Human validation is organised according to the consequences of each use case.
The results of the pilot inform the decision to continue, adjust or stop. If deployment is approved, we support integration, training, quality monitoring and the allocation of responsibilities. Tools and methods are transferred so that your teams can sustain the system.
Let’s talk about your challenge