Claude can be a valuable business tool for far more than individual prompting. As organisations begin using AI across teams, connecting it with other systems and exploring more automated workflows, the conversation naturally shifts from “Can we use it?” to “How do we use it well?”
That is where AI governance matters.
Good governance is not about putting unnecessary roadblocks around Claude. It is about creating enough structure around access, business data, integrations and responsibility that people can use AI confidently and productively.
Start with who needs access
Not everyone in a business needs the same level of access to information or technology.
Before rolling Claude out more broadly, consider:
- Who genuinely needs access?
- What does each person need Claude for?
- What information does their role require?
- Who approves new users or changes in access?
- Who reviews access when someone changes roles or leaves?
These decisions should reflect the way your organisation actually works.
Review the permissions you already have
Claude does not operate in isolation once it begins interacting with business systems and shared information.
Before introducing more connected AI workflows, review the permissions already in place across tools such as Microsoft Teams and shared business platforms.
Ask:
- Are existing permissions still appropriate?
- Can people access information they no longer need?
- Are sensitive areas restricted to the right roles?
- Is access reviewed regularly?
Defining who should access what before implementing technical controls is an important foundation for responsible technology use.
Know what Claude is connected to
MCP-compatible services and other integrations can extend what Claude can do by connecting AI with external tools, data and workflows.
That can create significant productivity opportunities, but businesses also need visibility over those connections.
A simple approved services register can record:
- The service or integration
- Its business purpose
- Who approved it
- Which users have access
- What information it can interact with
- Who owns the connection internally
- When it should next be reviewed
The principle is straightforward: know what is connected, why it is connected and who is responsible for it.
Set clear boundaries around business data
Your team should not have to guess what information is appropriate to use with Claude.
Provide practical guidance around:
- Public or non-sensitive information
- Internal business information
- Confidential or commercially sensitive data
- Personal information
- Client or customer information
Governance is an ongoing process
Access and integrations change as your business changes.
People join, leave or move roles. New AI capabilities become available. Teams discover new workflows. Services that once made sense may no longer be required.
Build regular reviews into your AI governance process so you can:
- Remove unnecessary access
- Review approved integrations
- Update data-use boundaries
- Reassign ownership where required
- Check that connected tools are still delivering value
- Make Claude work for your business
The goal of governance should not be to make Claude harder to use.
It should help your organisation use AI more confidently, consistently and intentionally.
IQPC can work with your leadership and technical teams to establish the right framework around Claude, including permissions, integrations, connected services and ongoing governance, while your business retains control over the decisions that matter most.
Want to build the right foundations for AI in your business?
