Discovery & Inventory
- Source system catalog
- End-to-end lineage map
- Sensitive-data classification
DATA READINESS
Compliance-first assessment and remediation transforming fragmented government data into AI-ready assets with governance, sovereignty, and OPEN Data Act alignment.
Data readiness is the single largest determinant of whether an AI program ships or stalls.
The agencies that get it right quietly move ahead. The agencies that skip it spend a year learning the hard way that model problems are usually data problems in disguise.
Every downstream AI, analytics, and service-delivery initiative is blocked until data is ready. The numbers explain why.
60%+
Of AI projects stall before production due to data problems
80%
Of AI project time spent preparing and cleaning data
#1
Cause of AI failure: poor quality, ungoverned data
5
Data quality dimensions we profile: completeness, accuracy, consistency, timeliness, validity
Data readiness follows a four-phase journey drawn from our Data Cloud and Governance practice:
Catalogs systems, classifies sensitive data, and maps lineage against compliance obligations.
Profiles data quality, scores readiness, and prioritizes remediation by use-case impact.
Cleanses, standardizes, integrates, and engineers governed, AI-ready datasets and features.
Establishes governance, continuous monitoring, and embedded compliance controls for long-term readiness.
A comprehensive data readiness package built for both technical execution and executive defensibility.
Models, agents, and dashboards fail when the underlying data foundation is weak.
Governance, cleansing, and lineage are essential for reliable, mission-critical AI systems.
Equity begins in the data layer through representative, bias-aware datasets.
Data location, access, and movement are designed into the system from day one.
Models, agents, and dashboards fail when the underlying data foundation is weak.
Governance, cleansing, and lineage are essential for reliable, mission-critical AI systems.
Equity begins in the data layer through representative, bias-aware datasets.
Data location, access, and movement are designed into the system from day one.
Let’s build the AI-ready data foundation your mission has been waiting for.