DAMA DMBOK-Aligned
Premium Data Consulting Services
Three service lines designed to address the specific data conditions that determine whether a federal AI initiative succeeds or becomes an audit finding.
Data Governance & Compliance
We establish formal governance structures that survive federal audits — from initial design through every subsequent oversight cycle.
- DAMA DMBOK-aligned governance policy development
- Data stewardship roles, accountabilities & escalation paths
- Regulatory alignment: FISMA, FedRAMP, NIST 800-53
- Defensible audit trails and records management frameworks
Data Quality & Lineage Engineering
We establish measurable quality standards and document every data element from origin to output — creating the evidentiary record your IG requires.
- Data profiling, scoring & quality baselining across domains
- End-to-end lineage documentation and traceability mapping
- Metadata cataloguing aligned to agency data dictionaries
- Continuous data quality monitoring and alerting pipelines
AI Readiness Data Platforms
We conduct structured readiness assessments before implementation — identifying the gaps that would otherwise surface as program failures or GAO findings.
- Structured AI readiness assessment (4-week fixed delivery)
- Legacy data modernization strategy & sequencing roadmap
- Cloud data platform architecture for federal AI workloads
- Independent vendor oversight and deliverable accountability
Schedule a Data Readiness Review
Before your agency commits to an AI investment, you need an honest, independent assessment of your data foundation. Start with a no-cost 30-minute consultation — we will tell you directly what is ready, what is not, and what the risk exposure is.
✅ No cost, no obligation · ✅ TS/SCI cleared advisory team · ✅ Response within 24 hours
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