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
We help organisations turn scattered information into clear ownership, reliable decisions and a stronger foundation for AI.
Strategy is the starting point. Working processes, usable evidence and an internal team that can carry them forward are the deliverables.
ASSESS → IMPLEMENT → OPERATE
Practical work. Defined scope. No black-box scores.

A named role, a documented decision right and a clear route for resolving issues.
Select a control to explore its purpose. The engraving is a visual metaphor; no client systems are connected.
You do not need to start with a programme name. Start with the thing your team cannot confidently answer.
Agree the definitions, test the critical fields and assign the work needed to make the numbers explainable.
Explore this serviceFrom the first diagnostic to the routines that keep governance alive. Every service has a defined output, a client role and a boundary.
Explore all servicesFind the gaps worth fixing first.
Give every important decision an owner.
Know what you have. Know where it goes.
Make important numbers explainable.
Turn privacy requirements into working routines.
Prepare the information your AI will depend on.
Understand the data relationship before you sign.
Keep governance moving after the project.
A clear commercial path from “where do we begin?” to a maintained capability. Scope and fees are agreed before work starts.
A scoped diagnostic for one important domain, workflow or AI use case.
A defined delivery project, built around an agreed outcome and acceptance criteria.
Fractional support to maintain the programme and develop internal capability.
Engagements are subject to scope, capability and availability. No promised compliance outcome or mandatory software purchase.
Registers, decisions and roadmaps your team can use. These are illustrative examples—not client work or performance claims.
| ASSET | ACCOUNTABLE ROLE | SOURCE | REVIEW STATUS |
|---|---|---|---|
| Customer master | Customer operations | CRM | Owner assigned |
| Monthly revenue | Finance lead | Reporting model | Definition to review |
| AI knowledge base | Use-case owner | Approved documents | Permissions to confirm |
Useful governance makes the unknowns visible. It does not turn an unanswered question into a green checkmark.
Our 18-question self-assessment shows what you have in place, what remains unknown and where to focus first.
No login. No email gate. Answers are processed in your browser and are not sent to our server.
Take the readiness assessmentChoose an entry point close to your business. These are engagement scenarios, not a list of claimed clients.
Original implementation guides, practical tools and source-linked context.
Explore the resource libraryStart with one business decision. Build the smallest working system around it. Expand only after the first cycle teaches you something.
Read the field noteThe point of a role model is not to invent more titles. It is to stop important questions disappearing between business and technical teams.
Read the field noteA tidy document collection can still be the wrong collection for an AI system to use.
Read the field noteWe 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.
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.
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.
No. We provide operational consulting and implementation support. Legal advice, formal assurance, certification and specialist testing require the appropriate separately engaged professionals.
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.
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.
Explore a fictional reporting workflow. Change the scenario to see which decisions and evidence need attention. This is an explanatory model, not connected monitoring.

The source owner explains the change. The custodian checks the transformation and downstream report. The business owner decides whether the meaning is unchanged before the next use.

Ownership, lineage, quality and lifecycle—made concrete through twelve visual explanations, practical questions and connected service scopes.
Explore the visual fieldguideTell us what is not working. We will discuss a sensible starting scope.
Practical field notes for the decisions between the strategy and the finished process.
Start with an observable operational problem. Separate the cost of repeated work from the cash your organisation could actually save.
Read the field noteA glossary becomes useful when it resolves a real disagreement and connects the agreed meaning to the calculation, owner and permitted use.
Read the field noteRenamed fields, revised definitions and access changes need an understandable route from request to impact review, approval, testing and handoff.
Read the field noteBuild a review rhythm around exceptions, unresolved questions and evidence of how the process is working—not a growing collection of status slides.
Read the field noteChoose one decision, name the people involved and set an evidence boundary before anyone asks for your data.
Prepare your project briefName the report, workflow or use case that needs to work better.
Identify the owner, allowed evidence and important exclusions.
Agree what a colleague should be able to repeat or verify.