The data foundation your transformation depends on.
Transformation stalls on fragmented data. Mithra gives Excellence and CoE leaders a governed taxonomy and clean spend to move up the maturity curve.
Great operating models still run on broken data.
You've defined the strategy, the governance model, the operating model. But classification is inconsistent across BUs and the taxonomy drifts the moment it ships — so every AI initiative inherits a broken foundation. Programs don't fail on strategy
they fail on data.
Taxonomy drift
A good structure decays as new data lands against it inconsistently.
Inconsistent BUs
Each unit classifies differently; the group view never reconciles.
AI on bad data
Agentic ambitions stall on data that can't be trusted.
No clear ownership
Data quality is everyone's problem and therefore no one's.
A governed foundation that holds as you scale.
Mithra builds and governs the taxonomy, enforces it at every ingestion point, and gives your program one measurable definition of data quality.
- Governed taxonomyBuilt or optimized, then enforced automatically on new data.
- Consistent across BUsOne classification standard applied everywhere, every time.
- Measurable data qualityClassification accuracy and coverage tracked as program KPIs.
- AI-ready by constructionThe clean layer your agentic roadmap actually needs.
Why: No confident taxonomy match, held for a human decision before publish.
Why: Matches two taxonomy branches; spend pattern favors Contract Manufacturing.
Move the whole organization up the curve.
Living taxonomy
A structure that stays consistent instead of decaying after launch.
One standard
The same classification quality across every business unit.
Measurable progress
Data-quality KPIs your program can report against.
AI-ready foundation
A base your agentic roadmap can actually build on.
Give your transformation a foundation that holds.
Share a sample extract and we'll show you a governed taxonomy and clean, classified spend, with the data-quality metrics to drive your program.