AI / Solution brief
Operational intelligence
Bring business information into a decision workflow with traceable sources and explicit uncertainty.
This is an illustrative scenario, not a delivered client project. The scope and evaluation measures below describe what a project could consider; they are not reported results.
The business problem.
Teams can spend more time finding and reconciling reports than deciding what to do. A useful intelligence workflow starts with dependable definitions and source data before adding AI-generated interpretation.
What the scope could include.
Choose the useful first release around the existing systems, users and constraints.
A common set of definitions
Agree what each business measure means, its source and how often it can be refreshed.
A focused reporting view
Surface the decisions a team needs to make, including exceptions and missing information.
Bounded AI assistance
Explore summaries or question answering against approved sources, with references and access checks.
Evaluation before expansion
Compare answers with known results and test stale, incomplete and conflicting data.
Questions before a build.
- Which decisions would better information change?
- Are definitions and access rules consistent across the sources?
- How should the interface communicate stale data or an unsupported answer?
How to evaluate it.
- Information quality
- Check reconciliation accuracy, source freshness and the rate of unsupported answers.
- Decision effort
- Measure time to answer representative business questions against the existing workflow.