Technology strategy & selection
Requirements, vendor-neutral evaluation and target architecture for your governance stack, including cloud, in-region and self-hosted deployment where data residency requires it.
Data catalog, lineage & quality
Metadata management, business glossaries, lineage and data quality monitoring at enterprise scale.
AI governance platforms
AI inventories and agent registries, model registries, risk assessment and approval workflows, and lifecycle controls from intake to retirement.
Privacy & data protection tooling
Data discovery and classification, consent, data subject rights and privacy-by-design workflows.
Agent governance & policy enforcement
Identity, permissions, approval thresholds, guardrails and audit trails for AI agents that take actions in your CRM, ERP and core business systems, with policy-based access controls built into data platforms and AI pipelines.
Enterprise integration & automation
Connecting governance tools with cloud data platforms, MLOps, GRC and ITSM systems.
Outcomes
A governance technology stack that works together, automated controls and evidence, and teams trained to use it.