What is AI governance?

AI governance is the set of decisions that directs how people use AI with company and customer information. It sets rules for approved and restricted uses, names the person who approves a new tool or use case, and gives the company a way to manage vendor questions, risks, and incidents alongside its security and data work.

What does a GovernEdge engagement produce?

GovernEdge produces the working artifacts a company needs to make and explain AI decisions: an inventory of AI tools and data exposure, a practical use policy, an accountable owner, a vendor position, concise review responses, and a short roadmap. The work gives the team a usable starting point for the question in front of it and the next one.

How do the two delivery paths differ?

The AI Governance Overlay is for companies that already have a security policy, MSP-led controls, an insurance baseline, or a privacy practice. It adds the AI-specific pieces that are missing. Integrated AI, cyber, and data governance is for companies starting from basic IT hygiene and sets up the first practical system.

AI, cybersecurity, and data governance

Give your people a clear way to use AI.

AI can make work easier. It can also create an awkward gap between what your people need and what you can stand behind. GovernEdge gives Canadian companies clear rules, accountable ownership, and confidence to move ahead.

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For Canadian companies with 20 to 250 employees.

The review

When should a company review its AI use?

Review your AI use when staff need clear rules, a customer wants reassurance, or a familiar review adds AI questions. These moments show whether the company has an inventory, an accountable owner, and a way to approve the next use.

Enterprise customer

A security review holds up a contract until you can explain how staff and vendors use AI.

Cyber insurer

A renewal asks what AI tools can access company or customer information.

Bank or prime contractor

A third-party review asks who owns the risk and what controls are in place.

Board or public-sector buyer

A director or buyer asks for a credible position before an AI rollout goes further.

What does AI governance cover?

A June 2026 PagerDuty and Wakefield Research survey of 1,250 office professionals at organizations with $500M+ revenue in the US, UK, Australia, and Japan found that 66% had used an AI tool they believed was against policy.

AI governance gives a company clear rules for what AI tools can do with its information, who approves new uses, and how it answers customers, insurers, and boards. It brings AI use into the security and data decisions the company already needs to make.

AI arrives inside tools employees already use. A software product turns on a feature. Someone tries a public tool to finish a task. A team pilots an agent. When the review arrives, nobody has a complete inventory, a clear rule for what may be entered, or an approval path for the next tool.

What you receive

What does a practical AI governance program include?

We build the small set of decisions and working artifacts that lets your team use AI with more confidence, answer the question in front of it, and handle the next one with less friction.

An AI inventory

A view of declared tools, embedded AI features, shadow use, and the information each may touch.

A practical use policy

Clear rules for approved use, restricted use, and inputs that need approval before anyone shares them.

An accountable owner

A named decision maker and a simple route for approving a new tool or use case.

A vendor position

A clear view of what AI suppliers do with your data and which questions need an answer.

A response for the review

A concise answer set tied to the question your customer, insurer, lender, or board has asked.

A short roadmap

The first changes to make, the owner for each one, and dates your team can keep.

How we work

How does GovernEdge help a company govern AI?

Every company needs a proportionate answer. We extend an existing security program where it makes sense, or build the first usable governance system where it does not.

You already have a security program

AI Governance Overlay

For companies with a security policy, MSP-led controls, an insurance baseline, or a privacy practice. We keep what works and add the AI-specific pieces that are missing.

Review the current program and map the gaps
Build the AI inventory and light data-flow view
Add the policy, risk tiers, vendor questions, and incident response steps

You are starting from basic IT hygiene

Integrated AI, cyber, and data governance

For companies that need their first practical system. We set up a light governance structure that covers security, data, and AI without asking a small team to run three separate programs.

Name the owners for security, data, and AI decisions
Set the essential controls and a simple data classification
Give staff clear AI rules and an approval path for new use cases

Both delivery paths follow the same five steps.

Discover
We map the AI, data, and tools already in use.
Diagnose
We rank the gaps that matter most.
Design
We draft the policy, owner, and inventory.
Deploy
Your team puts the artifacts to work.
Sustain
You keep the program current as tools and questions change.

Frequently asked questions

Answers for the first AI governance conversation

These are the questions companies often need answered before an AI rollout, customer review, or insurer renewal.

What is AI governance?

AI governance is the set of decisions that directs how people use AI with company and customer information. It sets rules for approved and restricted uses, names the person who approves a new tool or use case, and gives the company a way to manage vendor questions, risks, and incidents alongside its security and data work.
When should a company review its AI use?

The clearest signal is a question the business cannot answer cleanly: what AI is in use, what it can reach, and who approved it. That question tends to surface when staff want firm rules, a customer asks for reassurance, or a routine review adds an AI section. It is better to look before a rollout goes further, so the answer is ready when an insurer, bank, prime contractor, board, or public-sector buyer asks who owns the risk and what controls are in place.
What does a GovernEdge engagement produce?

GovernEdge produces the working artifacts a company needs to make and explain AI decisions: an inventory of AI tools and data exposure, a practical use policy, an accountable owner, a vendor position, concise review responses, and a short roadmap. The work gives the team a usable starting point for the question in front of it and the next one.
How do the two delivery paths differ?

The AI Governance Overlay is for companies that already have a security policy, MSP-led controls, an insurance baseline, or a privacy practice. It adds the AI-specific pieces that are missing. Integrated AI, cyber, and data governance is for companies starting from basic IT hygiene and sets up the first practical system.

What applies today

What AI governance requirements apply in Canada today?

Customer terms, insurer questions, and privacy duties can all apply now. Canada’s prior federal AI bill did not become law. Quebec’s Law 25 has requirements for decisions based exclusively on automated processing, including notice and a chance to ask a person in the business to review the decision.

PIPEDA and BC PIPA also limit new uses of personal information. The right notice or consent depends on the facts. We help your team understand the operating question.

GovernEdge builds a program that can map to the expectations behind customer security reviews.