← AI & Data Intelligence

Data Governance & Catalog

Data your teams can find, trust, and defend: cataloging, metadata, quality, and lineage built into how the agency works.

9+
disparate sources, one vocabulary
SOURCE SYSTEMS
CANONICAL SCHEMA
Legacy case system
APPL_IDNM_LASTDOB_1
GA4 export
client_idlast_nmbirth_dt
Intake forms
case_nosurnamedob
CATALOG · PERSONv4
person_id·
full_name·
date_of_birth·
source_ref·
LINEAGE · RECORDING…
✓ CERTIFIED FOR MATCHING

A vocabulary, a catalog, and a discipline.

AI and analytics are only as good as the data underneath them, and most agencies cannot say with confidence where their data lives, what it means, or whether it is right. We stand up governance that operates: catalogs people actually search, metadata and business glossaries that give data shared meaning, quality rules that run automatically, and lineage that shows where every number came from. Governance done this way is not paperwork. It is the foundation that makes every downstream AI and analytics investment credible.

Standards & vocabulary

A canonical schema with controlled values and crosswalks from every source field, agreed with data owners, versioned like code.

Catalog & lineage

Every dataset findable, every field documented, every value traceable to its source system, so analysts trust what they query.

Quality & stewardship

Validation rules on every load, exception queues for what fails, and stewards with the authority to resolve conflicts, not just log them.

Standardize first. Match second.

01

Agree on the words

Data owners converge on one canonical schema, names, formats, controlled values, before a single record moves.

02

Map every source

Field-by-field crosswalks from each of the 9+ systems to the standard, with transformations documented and reviewable.

03

Certify what's clean

Datasets that pass quality gates are certified in the catalog, the mark that tells matching, analytics, and ML they're safe to build on.

04

Steward the exceptions

Conflicts and failures route to stewards with lineage attached, so resolution is a decision, not an investigation.

Certified is a status, not a hope.

The catalog shows exactly how much of each dataset conforms to the standard. Certification is earned per dataset, held by continuous validation, and revoked the moment quality slips, so the records downstream systems depend on stay trustworthy.

CATALOG COVERAGECONFORMANCE · %
identity_core100CERTIFIED
transactions100CERTIFIED
biometrics96CERTIFIED
legacy_case88IN REVIEW
intake_forms74MAPPING
Continuousvalidation on every certified dataset9+sources in the catalog

Built for the mission in front of you.

Software, data, AI, and cybersecurity built around the outcomes your team owns.

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