Platform-agnostic, people-first services for the operating models, accountability frameworks, and compliance lineage that complex enterprises actually adopt.
Three core service tracks — each delivered by senior practitioners and built around the operating realities of your business.
Practical frameworks that capture, govern, and activate enterprise data — with clear decision rights, accountability, and measurable adoption.
Accountability frameworks and risk taxonomies for responsible AI deployment across regulated industries.
Systematic oversight frameworks with metadata embedded in data flows — covering GDPR, CCPA, SOX, PCI-DSS, and more.
Our discovery engine is a guided executive session — not a generic questionnaire. It quantifies the real cost of manual stewardship and prescribes a People-First operating model calibrated to your sector.
Within four weeks you walk out with eight board-ready artifacts: risk register, RACI, charter, roadmap, and four more — ready to brief your executive committee.
We measure the true cost of manual governance work — hours, headcount, and the opportunity cost of pulling stewards into reactive firefighting.
Stewards, owners, and analysts are assisted — not replaced — by AI agents. The operating model is built around the humans who own outcomes.
Every session produces a complete, downloadable report — risk register, RACI, charter, roadmap, and more — ready for executive review.
FinTech, Manufacturing, Aerospace, Healthcare, Hospitality, and more — calibrated to the regulatory and operational realities of your sector.
Quantify governance debt and surface the critical risks.
Operating model, decision rights, and policy architecture.
A targeted POC that proves the model on real data.
Roll out to stewards, owners, and downstream consumers.
Embedded telemetry and quarterly governance reviews.
Senior practitioners who have run governance at global scale — not generalists with a slide deck.
We design for adoption from week one — with stewards, owners, and downstream consumers in the room.
AI agents augment your stewards inside the operating model — accelerating intake, classification, and review.
We assess your stack on its merits — never against a preferred vendor or implementation partner.
We deployed an end-to-end lineage and policy framework for a global financial firm — moving compliance from spreadsheet attestation to embedded controls inside their data pipelines, with continuous monitoring and audit-ready evidence on demand.
We designed a federated MDM operating model across four business units — with clear stewardship, decision rights, and a tiered data quality framework that scaled with the manufacturer's product portfolio across regions.
A 30-minute discovery call to scope the problem, the stakeholders, and the path to a People-First operating model.