Data & AI governance

Governance that holds up in an audit.

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Overview

What we do.

We build the governance that lets an agency trust its data and its AI — quality scoring, lineage, policy and the registries auditors expect to see.

How it works

From input to outcome.

Process: Assets → Catalog → Assess → Certify → Use01 ASSETS02 CATALOG03 ASSESS04 CERTIFY05 USEDatasetsTables · filesAI use casesSubmitted for intakeMetadata & lineageSource to reportData stewardOwner assignedAI inventoryRisk registryQuality rulesScored · validatedAccess matrixTLP · rolesAI risk reviewNIST AI RMFCertified datasetTrusted for useApproved use caseWith conditionsReports & modelsBuilt on certified dataAudit trackerReady on request

What we deliver

Services.

Data governance

  • Data quality scoring and certification
  • Metadata, lineage and catalogs
  • Quality rule authoring and validation
  • Data steward enablement

Strategy & policy

  • Data strategy and operating models
  • Governance policy and procedure authoring
  • TLP and access matrices
  • Audit-ready governance trackers

AI governance

  • AI inventories and risk registries
  • Use-case intake and approval
  • NIST AI RMF alignment
Tools & platforms
  • Databricks
  • SharePoint
  • Power BI

Fast to put on contract.

EDWOSB/WOSB sole source up to $5.5M, set-aside, or GSA MAS 47QTCA25D00BT.

See contract vehicles

More capabilities

One bench, six domains.