AI Vendors: The Risk Sitting Outside Your Organization
Blog post description.
6/12/20264 min read
AI Vendors: The Risk Sitting Outside Your Organization
Part 5 of a 7-Part Series on Corporate Boards and AI Governance
About This Series
This article is part of a 7-part series on Corporate Boards and AI Governance by Angeli Raven Fitch, Attorney, Speaker, and AI Legal Strategist.
In my work helping organizations navigate AI governance, one pattern keeps appearing: companies spend enormous amounts of time evaluating the benefits of AI tools and surprisingly little time evaluating the companies providing them.
That imbalance creates risk.
And in many cases, the greatest AI risk isn't inside your organization.
It's sitting outside of it.
The Board Approved the Tool. But Did Anyone Review the Vendor?
🔍 Imagine this conversation.
A department head discovers an AI tool that can save hundreds of hours each year.
The demonstrations are impressive.
The cost is reasonable.
Employees love it.
Leadership approves the purchase.
Everyone celebrates.
But nobody asks the uncomfortable questions.
Who owns the company?
Where is the data stored?
Who can access the information?
Has the vendor experienced security incidents?
Can uploaded data be used to train models?
What happens if the company is acquired?
What happens if the company disappears?
What happens if the company gets hacked?
The problem is not that organizations fail to evaluate functionality.
The problem is that they often stop there.
🚨 The Vendor Is Now Part of Your Risk Profile
Many leaders still think of vendors as outside parties.
Technically, that's true.
Practically, it's not.
The moment an AI vendor gains access to company information, employee information, customer information, donor information, applicant information, financial information, or proprietary information, that vendor becomes part of your organization's risk profile.
Their problems can quickly become your problems.
Their breach can become your breach.
Their governance failures can become your governance failures.
Their reputational damage can become your reputational damage.
Boards need to recognize that reality.
The Question Boards Rarely Ask
🧊 One question rarely appears in board discussions:
"What if the vendor is the weakest link?"
Many organizations conduct extensive internal reviews while conducting only limited review of the companies receiving their information.
That creates a dangerous imbalance.
Because AI vendors often have access to some of an organization's most sensitive assets:
📁 Employee data
📁 Customer information
📁 Financial records
📁 Strategic planning documents
📁 Intellectual property
📁 Board materials
📁 Internal communications
📁 Confidential business information
When viewed through that lens, AI vendors stop looking like software providers.
They start looking like governance concerns.
The Startup Problem
🚀 Let's talk about something many boards prefer not to discuss.
Some AI companies are incredibly young.
The technology may be impressive.
The founders may be brilliant.
The growth may be extraordinary.
But governance isn't just about innovation.
It's also about durability.
Boards should be asking:
❓ Will this company exist in three years?
❓ What happens if it is acquired?
❓ What happens if ownership changes?
❓ What happens if the business model changes?
❓ What happens to our data if the company fails?
These aren't anti-innovation questions.
They're governance questions.
And governance exists precisely because optimism is not a risk management strategy.
⚖️ Fiduciary Duties Don't Stop at the Company Door
California directors have fiduciary responsibilities involving oversight and informed decision-making.
Those responsibilities don't disappear simply because a risk originates from a third-party vendor.
If AI becomes a material business risk, boards should be asking whether appropriate vendor due diligence, oversight, and reporting mechanisms exist.
Directors are not expected to become cybersecurity experts.
They are not expected to become AI engineers.
But they are expected to ask informed questions.
And AI vendors deserve scrutiny.
The Vendor Sales Pitch
🎭 AI vendors are often excellent at describing benefits.
Efficiency.
Productivity.
Innovation.
Cost savings.
Competitive advantage.
Those benefits may be real.
The challenge is that governance requires looking beyond the sales presentation.
The board should be equally interested in:
🔐 Security controls
📊 Audit capabilities
📁 Data retention practices
⚖️ Regulatory compliance
🛡️ Incident response procedures
📈 Organizational maturity
The more important the vendor becomes, the more important these questions become.
What Smart Boards Are Doing
🧭 The strongest organizations I've seen don't treat AI procurement as a technology decision.
They treat it as a governance decision.
That doesn't mean every vendor goes before the board.
It means leadership has a structured process.
A good governance framework often includes:
✅ Vendor due diligence
✅ Legal review
✅ Security review
✅ Privacy review
✅ Data governance review
✅ Ongoing monitoring
✅ Periodic reporting
The goal isn't perfection.
The goal is visibility.
Because visibility is what allows boards to exercise meaningful oversight.
Questions Every Board Should Ask
Before approving significant AI deployments, directors should consider asking:
❓ What data will the vendor access?
❓ Where will the data be stored?
❓ Who owns the data?
❓ Can the vendor use the data to train models?
❓ What security controls exist?
❓ Has the vendor experienced prior incidents?
❓ What happens if the relationship ends?
❓ What ongoing monitoring occurs?
Those questions won't eliminate every risk.
But they will dramatically improve governance.
Final Thought
Many organizations spend their time worrying about employees using AI.
That's understandable.
But employees aren't the only risk.
Every AI vendor represents a relationship built on trust.
The question boards should ask is whether that trust is supported by governance, diligence, and oversight—or merely hope.
Because hope is not a control.
And it never has been.
Next in the Series
The Questions Every Board Should Be Asking About AI
About Angeli Raven Fitch
Angeli Raven Fitch is an attorney, speaker, and AI Legal Strategist who helps organizations, law firms, executives, and business leaders navigate the opportunities and risks of artificial intelligence. Her work focuses on AI governance, ethics, compliance, risk management, and responsible AI adoption.
Her mission is simple: help leaders embrace innovation without losing sight of accountability, trust, and good governance.
🔗 Connect with Angeli Raven Fitch on LinkedIn for insights on AI governance, legal ethics, emerging technology, and the future of responsible AI.
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📝 Legal stuff: This article is provided for informational purposes only and does not constitute legal advice or create an attorney-client relationship.