Keido Data Readiness
AI is only as good as the data underneath it.
AI is only as good as the data underneath it.
Most organisations do not know what data they hold, where it lives, what state it is in or who owns it. Keido Data Readiness answers those questions in four to six weeks and leaves you with clean, structured, documented data that any AI system, Keido’s or anyone else’s, can be built on with confidence.
Why this comes first
Most stalled AI projects stall on the data.
Most stalled AI projects stall on the data.
The MIT study behind the GenAI Divide found most enterprise AI investment returns nothing. The usual reason is not the model. It is that the data underneath was fragmented, duplicated, inconsistently labelled or simply not where anyone thought it was.
Fixing that after deployment costs many times what it costs before.
Three stages
Review, clean, map.
Review, clean, map.
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Review
What Keido does
Inventory every relevant source: records systems, document stores, spreadsheets, databases, archives. Assess each for completeness, consistency, duplication, currency, sensitivity and ownership.
You receive
A data inventory and readiness score by source, with the gaps and risks ranked
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Clean
What Keido does
Deduplicate, standardise formats and fields, repair or flag broken records, resolve conflicting versions, tag sensitive material, and set the rules so it stays clean.
You receive
Cleaned datasets with a change log, plus documented rules your team can keep applying
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Map
What Keido does
Define the structure the AI will use: a taxonomy or schema, the relationships between sources, and the fields that matter for search, evaluation and visualisation. Load it through the Data Pipeline.
You receive
A data model, a mapped and indexed corpus, and a first Keido Visual map of what you hold
What you keep
Everything produced stays with you.
Everything produced stays with you.
- The inventory
- The cleaned data
- The rules
- The data model
- The index
There is no lock-in. If you build on Keido’s systems afterwards, they plug straight in. If you build on something else, the work still holds.
Governance and sensitivity
Sensitive material is classified before anything is indexed.
Sensitive material is classified before anything is indexed.
The review stage identifies personal, confidential and restricted data before indexing. Handling follows your policies and the Australian Privacy Principles. The work runs inside your environment; no data leaves it.
How an engagement runs
Six weeks, with a decision point.
Six weeks, with a decision point.
- Week 1 Scoping with data owners and IT, access arranged
- Weeks 2 to 3 Review and readiness report, with a decision point on scope
- Weeks 3 to 5 Clean and map
- Week 6 Handover, first Visual map, and a recommendation on what to build next