Governance Built to Scale With You
Supported by our broader AI Solutions, our AI governance services help organizations establish scalable frameworks to ensure AI is used consistently across the organization’s operations.
Artificial Intelligence (AI) governance is a holistic framework combining corporate governance and business management components to align strategic AI goals with effective operations. It manages an organization’s risks and resources by balancing conformance (accountability, regulatory compliance, and oversight) with performance, strategic execution, and value creation.
The Complete Cycle
Build
We design custom governance structures tailored to your organization.
Our frameworks balance protection and performance, safeguarding your existing business value while positioning you to create new value with AI.
Deploy
One of the biggest failures in AI governance is a policy that never reaches the audience it was written for.
We help you deploy the policies inside your company to maximize awareness.
Support
Policy only works if the people using it actually understand it.
We provide custom training courses built off your policy and delivered to your employees to ensure complete understanding and application of your company’s expectations.
Policy Design
You’re trying to protect the value you’ve already built while creating room for the value AI can still unlock. Your policy will be designed to balance both vectors at once.
Protect
Organizational Level
You already have data, processes, and relationships that make your business what it is. At the organizational level, we build the structure that keeps that value protected as AI comes in.
What this protects
- Your confidential data doesn’t end up training someone else’s model.
- Shadow AI doesn’t quietly become the reason you have a breach.
- When something does go wrong, your organization already knows how to respond, fast and effectively.
Create
Individual Level
Your people are where new value actually gets created. At the individual level, we give them the clarity and confidence to use AI well, so that value has room to grow.
What this enables
- Your employees can use AI on high-value work, not just low-value tasks.
- Good use cases and clear expectations mean AI adoption doesn’t stay limited to your champions.
- A good idea for using AI has a path to reach leadership, instead of staying stuck with whoever found it.
Deployment and Ongoing Support
A policy only works if people actually know what is in it. We build the training right alongside it, drawn directly from that same document.
Employees take the course, and you get a record that they did. It is built to be taken once a year, so you always know where your organization stands, not just on the day the policy launched.
This runs through Hadrian, our workforce training and upskilling platform. Part of what we build there is a tailored course based on your exact policy, testing your employees to confirm they actually understand what is expected of them.
We Help at Every Step
Whether your organization is early in its AI adoption or already implementing AI for advanced use cases, we tailor our AI governance consulting approach to meet you where you are.
Just getting started
If AI adoption is new, we start with the basics: what is already in use, what the risk looks like today, and a policy simple enough for a first rollout without slowing anyone down.
Scaling across teams
As adoption grows past a few early users, governance has to grow with it. We build the structure to keep pace: clear approval paths, defined roles, and rules that hold up as more teams and tools get added.
Running advanced use cases
For organizations already deploying AI in complex or high-stakes work, we build governance that matches that complexity: tighter oversight, deeper audit trails, and policy built to hold up under real scrutiny.
Questions we get asked
How do we get started with Bond-Rand?+
Get in contact with our founders. We always start by building a foundational understanding of how your company operates with AI today, which we do through our ORBIT diagnostic. What that surfaces is what your policy gets written from: the data informs a tailored governance policy that we then develop top-down across your organization.
Do organizations need AI governance before deploying generative AI?+
Yes. Organizations need AI governance before deploying generative AI to establish clear expectations for how it can be used and who is responsible for its use. Without those expectations, employees are left to determine acceptable AI use themselves, increasing the risk of inconsistent practices and misuse.
Is this just a set of templates you provide?+
No. We use our proprietary ORBIT diagnostic to understand the specific needs of your organization, then build your policies from scratch using our internal framework alongside the NIST AI Risk Management Framework.
What assets are included in the package beyond the core policy text?+
Some of the assets included in our services are:
- The Artificial Intelligence Policy
- Data Security and Privacy Policy
- Acceptable Use Policy
- AI Inventory
- Vendor AI Due Diligence
- Intake and Approval Procedure
- Incident Response Procedure
- Complaints and Appeals Procedure
Which specific regulations and frameworks do these policies align with?+
The value protection clauses in our policies are most aligned with the NIST AI Risk Management Framework; however, the value creation clauses tailored more towards the individuals are based on our own proprietary frameworks and research (Bond & Rand, 2025).
What if we already have an AI policy?+
That’s not a problem. We review existing AI policies to identify gaps or areas that may have been overlooked, especially when the policy was not informed by how your organization actually operates. From there, we can provide recommendations or build onto your existing framework where needed.