What Is AI Governance? A Compliance Guide for AI-First Companies

At some stage in your next enterprise deal, someone is going to ask how your company governs AI. At early-stage, high-growth companies especially, it often isn't a process that's been documented. But it's becoming an increasingly essential part of procurement.

Buyers aren't only interested in how you use AI in your product. Many also care about your internal processes, where AI is used, how data is shared with AI platforms, and so on.

In this guide, we're going to discuss both types of AI governance — the AI you use internally and the AI you ship in your product — to dig into what governance means and what buyers expect from you.

What Is AI Governance?

AI governance refers to the set of policies, owners, and records that explain how your team uses AI internally and how AI interacts with data and makes decisions in the products you ship to customers.

Every company should be able to answer:

1. Who has access to your training data?
2. How do you validate what your models output?
3. What happens when a model makes a bad decision?

But it's not always written down, especially when teams are building and shipping fast. Governance often stays invisible until someone (usually a buyer's procurement team) asks for it.

When it comes to validating your AI governance, ISO 42001 has become the go-to for many organizations. It's an internationally recognized standard for an AI Management System (AIMS). It establishes how your organization develops, deploys, and operates AI responsibly.

For checking that you have the right controls in place to manage AI agents and the associated risks, AIUC-1 is gaining traction.

Why Are Buyers Asking About AI Governance Now?

AI is becoming more prominent in almost every aspect of work across every industry. So the rise in procurement teams asking how AI is governed is a natural response to the changing risk profile AI brings with it.

It's not always a blocker right now, but I think it's trending that way. AI trust today sits about where SOC 2 sat in 2018 — something buyers had started asking about that didn't yet block deals. SOC 2 took a few years to become a hard requirement. AI is running the same arc on a much shorter clock.

Still, it's best to get out ahead of it. Vendors that can point to their AI policies, or better, frameworks like ISO 42001, will be more likely to sail through deals without any hiccups caused by AI governance.

It's also important to understand what does and doesn't apply to your business when it comes to AI regulation, especially with regulations like DORA. Often, a brief explanation as to why the regulations don't apply to you is all you need, but if you don't have that ready, it can send your team scrambling for answers midway through a deal.

The Two AI Governance Programs Every Business Needs

Every company building with AI is running two governance programs at once:

1. How your team uses AI internally
2. How you use AI in the products and services you sell to customers

Every team is now using ChatGPT, Claude, and likely multiple AI tools that haven't been formally approved by your compliance team. Think: an AI note taker, an agent drafting email replies, engineers pasting code into AI editors. The questions you need to be answering here are around which tools are allowed, what data can be shared with each, and how humans check outputs before they're shared or acted upon.

With the AI you ship to customers, the questions you need to answer are around how you validate outputs, what happens when a model gets something wrong, and how you train models.

What an AI Governance Program Contains

An AI governance program comes down to a short list of documented things, and two frameworks are gaining traction as a way to prove your AI governance:

1. ISO 42001: ISO 42001 is governance-heavy and built out of policies, procedures, risk assessments, and documentation to establish how your organization develops, deploys, and operates AI.
2. AIUC-1: Developed by the Artificial Intelligence Underwriting Company, AIUC-1 is more implementation-focused, ensuring you have controls in place covering data and privacy, security, safety, reliability, accountability, and societal risks.

Both are optional, and most companies start with ISO 42001 before moving on to AIUC-1.

Which AI Regulations Apply to You?

If you're using AI across your business, there may be some regulations you need to pay attention to. For example, the EU AI Act affects most US-based companies selling into the EU.

The EU AI Act is a set of legal obligations. It sorts AI systems into four risk tiers (unacceptable, high, limited, minimal), and like GDPR, it impacts you as soon as you sell into the EU market.

Most US-based SaaS companies will land in the limited or minimal tiers, where the requirements are generally manageable — covering things like disclosing when someone is interacting with AI, documenting how you mitigate bias, and showing where humans sit between your system and decision-making.

State law is also important to keep on top of. Colorado repealed its 2024 AI Act and replaced it with SB 26-189, signed in May 2026 and effective 1 January 2027, covering automated decision-making technology used in consequential decisions like employment, housing, and lending.

And the NIST AI Risk Management Framework is worth knowing. Even though it's not a legal requirement, it's something US enterprise buyers are starting to lean on.

How to Get Started With an AI Governance Program

The first step is to take stock of how AI is being used across your organization.

List every AI system and tool your company uses and every AI feature you ship to customers, with an owner against each one. It might not be complete on the first attempt, but a partial inventory is a good step one.

From there, start building out written policies and procedures with named owners for each responsibility, and run an impact assessment on anything customer-facing.

What comes next depends on your business stage:

• If you're pre-product or pre-revenue, or AI barely touches what you sell and your customers are other startups who aren't asking, then having a few AI policies in place is likely enough for now.
• If you're selling to enterprise buyers, using AI heavily in your product, or starting to see AI questions come up during your sales processes, pursuing ISO 42001 might make sense.

If you'd like to learn more about AI governance and what it means for your business, get in touch with our team. At Workstreet, we've built AI Management Systems for the fastest-growing AI companies in the world, and we can also help you design, implement, and certify your AI agent program to meet AIUC-1.