Find the right starting point.
A scoped diagnostic for one important domain, workflow or AI use case.
- Evidence-backed baseline
- Prioritised gaps and owners
- 30 / 60 / 90-day roadmap
CONSULTING & IMPLEMENTATION
Build the capability. Not just the document.
Eight ways to make ownership, evidence and responsible data use more practical. Choose a service or start with a diagnostic to define the right scope.
Data governance diagnostic
Find the gaps worth fixing first.
Governance operating model
Give every important decision an owner.
Data inventory & lineage
Know what you have. Know where it goes.
Data quality & trusted reporting
Make important numbers explainable.
Privacy & data lifecycle operations
Turn privacy requirements into working routines.
AI data readiness
Prepare the information your AI will depend on.
Vendor & third-party data review
Understand the data relationship before you sign.
Fractional governance support
Keep governance moving after the project.
ENGAGEMENT OPTIONS01 / ASSESS 02 / IMPLEMENT 03 / OPERATE
A sensible commercial path.
Put the controls to work.
A defined delivery project, built around an agreed outcome and acceptance criteria.
- Ownership and decision workflows
- Inventory, quality or lifecycle pilot
- Documentation and internal handoff
Keep the work moving.
Fractional support to maintain the programme and develop internal capability.
- Stewardship and issue reviews
- Sponsor briefings and decisions
- Ongoing roadmap refinement
Before we begin.
What does a first engagement look like?
We start by agreeing the problem, sponsor, domain, available evidence and boundaries. A diagnostic can establish a baseline before you commit to implementation. Exact scope, team, fees and acceptance criteria are agreed in writing.
Do we need a data catalogue or a new software platform?
Not necessarily. The first problem may be unclear ownership, conflicting definitions or an untested handoff. We define the operating need before considering software. Tool integrations and implementation access are separately scoped.
Is the online assessment an audit or certification?
No. It is a self-reported planning exercise. It does not inspect systems, verify answers, assess all applicable requirements or establish legal compliance. Unknown answers remain visible in the results.
Can you guarantee compliance or certify our organisation?
No. We provide operational consulting and implementation support. Legal advice, formal assurance, certification and specialist testing require the appropriate separately engaged professionals.
Will you need unrestricted access to our data?
No. Discovery begins with a business brief, system descriptions, metadata and redacted examples. Any later access, processing, security arrangements and retention terms must be agreed before information is transferred.
How does this connect to AIGovernance.ca?
DataGovernance.ca focuses on the information foundations: ownership, definitions, quality, permissions, lineage and lifecycle. AIGovernance.ca is the connected AI-governance resource. An AI engagement may need both workstreams, with its actual scope agreed in advance.
START WITH A CONVERSATION
Make your next data decision a clearer one.
Tell us what is not working. We will discuss a sensible starting scope.
A SMALLER, CLEARER FIRST STEPBring a problem.
Bring a problem.
Leave with a brief.
Choose one decision, name the people involved and set an evidence boundary before anyone asks for your data.
Prepare your project brief01
Choose the decision
Name the report, workflow or use case that needs to work better.
02
Set the boundary
Identify the owner, allowed evidence and important exclusions.
03
Define useful completion
Agree what a colleague should be able to repeat or verify.
WHEN A SERVICE NAME ISN’T ENOUGH
Problems we can help scope.
Each guide explains a use case, working evidence and appropriate service boundaries.
REPORTING CONFIDENCE
When two reports disagree, fix the definition before the dashboard.
Data governance for finance and operations teams tired of reconciling the same numbers every month.
Explore this topic ↗SPREADSHEET DEPENDENCY
Keep essential spreadsheets useful without making them invisible systems.
A pragmatic route for teams whose critical reports, registers and approvals still travel through Excel and shared drives.
Explore this topic ↗AI DATA READINESS
Make an AI knowledge base permission-aware before people rely on it.
Govern the documents behind retrieval, search and AI assistants—not merely the model or the chatbot interface.
Explore this topic ↗FRACTIONAL DELIVERY
Build a governance operating rhythm without hiring a full department.
Defined recurring support for organisations that need ownership, decisions and oversight rather than another dormant policy.
Explore this topic ↗VENDOR DATA RISK
Understand the data deal before approving the software deal.
A bounded third-party data review for software buyers, procurement, operations and privacy stakeholders.
Explore this topic ↗TRANSACTION READINESS
Before a merger combines the systems, map the information liabilities.
Prepare a defensible data handover and integration workplan without making unsupported claims about assets or compliance.
Explore this topic ↗PRIVACY IMPLEMENTATION
Turn approved privacy requirements into day-to-day data workflows.
Make access requests, retention decisions and exception escalation operational—with legal interpretation kept in the right hands.
Explore this topic ↗