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Data Governance & AI-Ready Data

Design of the policies, roles, decision rights and forums that make data governance operate rather than exist on paper.

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Milestone based, or time and materials for evolving scopeDELIVERY MODEL

The problems this practice exists to solve

Nobody accountable for the accuracy of critical data
Sensitive information stored and shared without classification
No traceability from a reported figure back to source
Governance documented but not operating
HOW THIS PRACTICE IS ORGANISED

3 specialist areas

Pick the one that matches your problem, or search the full list below.

Every service in this practice

Every service, grouped by sub-practice
Governance FrameworksExplore Governance Frameworks ›
Data Governance FrameworksDesign of the policies, roles, decision rights and forums that make data governance operate rather than exist on paper.Microsoft PurviewImplementation of Microsoft Purview for cataloguing, classification, lineage and data protection across the estate.Data OwnershipAssignment of accountable owners and stewards for each data domain, with defined responsibilities and escalation.Policy ManagementDevelopment and lifecycle management of data policies, standards and procedures with evidence of compliance.Data ClassificationDefinition and application of a classification scheme so sensitivity is known and enforceable.Data LineageEnd-to-end traceability of how data moves and transforms from source system to reported figure.Metadata ManagementCapture and maintenance of technical and business metadata in a discoverable catalogue.Business GlossariesAn agreed dictionary of business terms and definitions linked to the physical data that implements them.Data DictionariesDocumented definitions, formats, valid values and ownership for each data element.

What we deliver

Governance framework, roles and decision rights
Data catalogue with classification and lineage
Ownership and stewardship assignments
Policies, standards and control evidence
Operating forums and reporting cadence
Capability uplift and handover

The outcomes that follow

Named accountability for every critical data domain
Sensitivity known and enforced across the estate
Traceability from report to source
Evidence available for audit and regulator
The precondition for safe AI deployment

How every engagement runs

01Discoverconfirm objectives, stakeholders, constraints and success measures
02Assessreview current systems, data, controls and delivery readiness
03Designprepare the target design, backlog, governance and implementation plan
04Validatetest the priority requirements through a prototype, pilot or controlled design review
05Implementconfigure, integrate, test and deploy the approved solution
06Enabletrain users, transfer knowledge and establish operating procedures
07Optimisemonitor adoption, performance, cost, quality and improvement opportunities
BUILT FORGovernment agencies and regulated public-sector bodiesBanks, insurers, superannuation funds and professional-services firmsHealthcare providers, aged-care operators and NDIS businessesUtilities, energy and resources operators
OUR CUSTOMERS

What our customers say

Real feedback from the organisations we build with — what changed, in their words.

All customer stories
Reconciliation that took our team nine days now closes in three — with a full audit trail on every match. It changed how the board sees AI.
Finance ManagerGCC Construction Group, Dubai
Site teams stopped digging through folders. They ask the assistant, they get the clause with a citation, and they move on.
Project DirectorTier-One Contractor, Sydney
The anomaly models flag outliers the week they appear, not at quarter-end. We stopped two overruns before they hit the P&L.
Commercial DirectorProperty Developer, Dubai

Our partnerships with
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Scope it in one call

Tell us the problem. We'll tell you which of our services fit and exactly how we'd deliver them.

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