Data documentation and certification
A catalogue, KPIs defined once and certified datasets
Learn moreAI, automation and conversational BI
Use cases chosen for their value, automated processes and natural-language answers, on certified data
In brief
- Indicative duration
- 2 to 4 weeks of workshops, 6 to 10 weeks of prototyping
- Format
- Fixed price per phase
- Method step
- Step 4, Create value
Who it is for
- Companies whose AI prototypes never reach production
- Leadership teams that want their people to refocus on their core business
- Users who want to query their data without building a report
The problem we solve
An AI model reproduces the flaws of the data it is fed. Without certified, documented data, AI projects shine in demos and stall in production
How we work
- Value and feasibility workshops: use cases prioritised by impact and data availability
- A prototype on your data, with measurable success criteria
- Industrialisation: integration into processes, monitoring, security
- Conversational BI on your documented semantic models
What you get
- A prioritised portfolio of use cases
- An evaluated prototype
- Industrialised automations
- Conversational BI on a first domain
- Value tracking in production
Tools
Microsoft Fabric, Power BI, Databricks, Snowflake, and your platform’s AI services
Frequently asked questions
What is conversational BI?
Asking your data a question in natural language, for example “Which regions are growing fastest this quarter?”, and getting a figure as the answer. It relies on documented semantic models
Is our data ready for AI?
The free online assessment gives you a first answer in 15 questions
Let’s talk about your data
30 minutes to review your context and identify the first useful project
Related services
Data, BI and AI readiness assessment
A scored baseline and a prioritised action plan
Learn more