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Flagship Audit

AI/Data readiness

A bounded diagnostic for teams deciding what to fix, migrate, pilot, or stop before AI/data work gets expensive.

01

Inventory

02

Score

03

Risk

04

Roadmap

3-5d

Starting audit

30/60/90

Roadmap

4

Output packs

0

Stored data

Outputs

Decision package, not demo theater

01

Source inventory

Systems, owners, refresh paths, constraints.

TablesFilesAPIs

02

Quality scorecard

Completeness, validity, freshness, anomalies.

FreshnessDuplicatesValidity

03

AI readiness

Which RAG, assistant, or automation use case is safe to pilot.

Use casesRiskControls

04

Roadmap

Ranked fixes and 30/60/90-day execution path.

Quick winsBlockersPilot

Packages

Start small, expand with proof

Snapshot

3-5 days

Fast diagnosis before budget or migration work is committed.

USD/EUR 1.5k-3k

Sprint

1-2 weeks

Sample-data profiling, reconciliation, and implementation backlog.

USD/EUR 4k-8k

Pilot

3-6 weeks

A first validated pipeline, RAG slice, report, or monitored workflow.

USD/EUR 12k-30k

Use this when the roadmap is blurry.

You will leave with a ranked path: stop, fix, validate, migrate, pilot, or scale.