Approved, embedded and shadow AI use are not visible in one place.
At a glance
- What it is
- Good governance should make better AI use possible.
- Who it helps
- Growing organisations that need better AI priorities, a stronger product or experienced help with important work.
- What should change
- Understand approved tools, embedded features, pilots and employee experimentation.
The trust question
Good governance should make better AI use possible.
Policy alone cannot control a technology that is already embedded in everyday platforms and being adopted by employees. Leaders need a practical view of current use, meaningful exposure and the decisions that require oversight.
What brings the question into focus
The pressure usually shows up before the plan.
Policies describe principles without giving people usable routes and decisions.
Vendor, information and human-oversight checks are inconsistent.
We translate risk appetite into proportionate controls: inventories, decision rights, approval routes, vendor checks, information rules, testing, oversight and escalation. Formal legal, privacy, cyber or assurance advice is brought in where required.
Questions worth resolving
Four questions for a useful diagnosis.
Use these prompts together. They expose the decision, the evidence and the conditions that need to be true before action makes sense.
What AI is already in use?
Where could impact become material?
Who approves, owns and escalates?
What evidence of oversight is required?
Where Protect shows up
Start with the work, the commercial result and the people involved before choosing a tool or committing money.
AI use inventory
Understand approved tools, embedded features, pilots and employee experimentation.
Practical policy
Translate risk appetite into guidance people can understand and follow.
Decision rights
Clarify who approves tools and use cases, owns risk and handles escalation.
Human oversight
Define testing, monitoring and review in proportion to the impact of the use case.
What requires control?
Scale policy, approval, testing and oversight to the consequence, sensitivity, autonomy and reversibility of the use case.
Find the right starting point
What are you trying to make better with AI?
A focused conversation will establish what matters, what is already known and which kind of help is most useful.
Questions leaders ask.
Direct answers to the questions that commonly shape an initial conversation.
01What does Protect mean in practice?+
Good governance should make better AI use possible.
02Who is Protect most useful for?+
Growing organisations that need a clearer AI decision, a practical product route or focused senior capacity.
03What is the most useful next step?+
Begin with the business problem, understand what is already known and choose the right first piece of work.
Find the right starting point
What are you trying to make better with AI?
A focused conversation will establish what matters, what is already known and which kind of help is most useful.
Find your starting point