One workspace for management analytics
The system unites corporate data, visualizations and AI tools. Users see the overall picture, move into detail, ask questions in plain language and assemble a view around the task at hand.
- Status
- Launched
aircode’s role
aircode designed the visual and AI layer: metric views, interactive scenarios and natural-language tools for working with data.
Context
Metrics lived across different sources and formats, forcing decision-makers to assemble the picture manually. The interface had to surface priorities, explain changes and use corporate data as context for AI.
The task
- bring key metrics into one workspace
- show the overall picture with a fast path into detail
- connect the interface to corporate data sources
- let users ask questions of the data
- build new analytical views on request
- support deployment inside a secure perimeter
Solution
A single visual environment replaced a set of unrelated screens. Users start from key states, reveal the causes of change and obtain additional context without switching tools.
AI is built into the workflow: it answers from the data, helps interpret metrics and assembles views for a role, meeting or management question.
Visual system
Colour, scale, movement and position show what needs attention and where the cause of a change sits. The interface follows user priorities rather than source formats.
AI tools
- questions against corporate data
- explanation of metrics
- search for related information
- view generation on request
- a dedicated screen for a role or meeting
Data integration
The interface works with current metrics from internal sources and keeps one shared context for visualization and AI.
Outcome
Fragmented reporting became one analytical journey. Users can move beyond prepared screens and shape a new view around the question they have now.