Governance & Enablement

Put the guardrails in place so your team can move forward with AI

Your staff are already experimenting with AI. Some are using approved tools, while others may be trying whatever helps them get the job done.

As AI use grows across your organization, clear guidance is essential to make sure it is used responsibly, consistently, and in ways that protect your members, data, and organization.

ISG helps associations put practical AI governance in place, then gives staff the training and guidance they need to use AI productively and confidently.

Governance should make AI easier to use, not harder

AI policies can become so restrictive that employees simply work around them. Or they can be so vague that staff have no idea what is acceptable.
Effective AI governance gives people clear answers to practical questions:

• Which AI tools are approved?
• What information can staff put into them?
• What kinds of information should never be shared?
• When does AI-generated work need human review?
• Who is responsible when AI is used in a member-facing process?
• How should staff handle confidential, personal or sensitive data?
• What happens when an AI tool produces an inaccurate or inappropriate result?
• Who approves new AI applications?

The goal is to create enough structure that staff can make good decisions without needing permission every time they use AI.

Protect your member data

Data governance is a critical part of any AI strategy.

Associations hold a tremendous amount of information about their members: contact information, payment history, event participation, certification records, committee activity, interests and sometimes sensitive professional or personal information.

Before connecting an AI tool to your AMS/CRM, you need to understand what data it can access, where that data goes, how it is stored, who can use it and what controls are in place.

ISG can help you evaluate those questions before AI becomes embedded in your workflows.

Keep people accountable for the decisions that matter

AI can analyze information, make recommendations, generate content and automate parts of a process. But there are still decisions that require human judgment.

Your governance framework should define where those boundaries are.

A low-risk task, such as summarizing internal notes, may require very little oversight. A member-facing communication, financial transaction or decision that affects someone's membership or certification may require significantly more review.

By establishing different levels of oversight based on risk, you can use AI broadly without treating every use case as equally sensitive.

Give staff the skills to use AI well

Policies alone will not create responsible AI adoption. Your staff also need to understand what these tools can do, where they fall short and how to use them effectively.
Training can help employees learn how to:

• Write better prompts and give AI useful context
• Check AI-generated information for accuracy
• Recognize when an answer may be incomplete or unreliable
• Protect member and organizational data
• Know when human review is required
• Identify good opportunities for AI in their own work

As staff become more comfortable with AI, they can better identify useful applications and use the technology more responsibly.

Create a process for evaluating new AI ideas

As staff identify more potential uses for AI, it becomes important to evaluate which ideas are worth pursuing.
ISG can help you create a simple process for evaluating potential AI initiatives based on questions such as:

• Does this solve a meaningful problem?
• What data does it require?
• How much staff time could it save?
• Would it improve the member experience?
• What are the risks?
• How will we know whether it worked?

That allows you to experiment without creating a collection of disconnected AI tools and pilots.

Build confidence with leadership and your board

Boards and executive teams are understandably asking questions about AI. They want to know where it is being used, what risks it creates and whether the organization has appropriate controls in place.

A clear governance framework gives leadership visibility into how AI is being used and where appropriate controls are in place.

It also makes it easier to explain where AI is delivering value, where you are experimenting, and where you have chosen not to use it.