AI GOVERNANCE
AI Governance That Fits
a Mid-Market Budget
Most companies say they have an AI governance framework. Most have not actually built one. Here is what a right sized framework looks like, and how we build it into every engagement.
88% of organizations claim they have a clear AI governance framework. Fewer than 25% have fully implemented the controls needed to manage bias, transparency, and security risk.
Evolvance Market Research, AI Governance Statistics, 2026THE GOVERNANCE GAP
Everyone says they have a policy.
Almost no one has actually built one.
Employees are not waiting for permission. Most of your workforce is already using AI at work, with or without a policy telling them how. The gap between usage and governance is where the real risk lives, not in the AI tools themselves.
Mid-market organizations feel this differently than Fortune 500 companies do. Large enterprises can absorb a messy first attempt at governance. Mid-market teams cannot. A single ungoverned AI mistake costs more, relative to the size of the business, and there is rarely a dedicated compliance team to catch it before it becomes a problem.
We built our AI Governance practice to close exactly this gap. Dr. Josh Stephens has spoken at industry conferences specifically on Data Governance, AI Governance, and AI Legislation, and every SIG engagement includes governance as a first-class deliverable, not an afterthought.
BY THE NUMBERS
67% already using AI, 18% have a policy
67% of employees are already using AI at work, but only 18% of organizations have formal AI policies in place. Evolvance Market Research, 2026
88% claim it, 25% built it
88% of organizations claim a clear AI governance framework. Fewer than 25% have fully implemented the controls that actually manage risk. Evolvance Market Research, 2026
Mid-market is exposed differently
Mid-market companies are scaling AI without the governance, strategy, and operational controls that larger enterprises can absorb the cost of building later. Grant Thornton, 2026
Governance built by a practitioner
Dr. Josh Stephens has spoken at industry conferences specifically on Data Governance and AI Governance and Legislation, not just theory.
OUR APPROACH
A framework built for how
mid-market teams actually operate
You do not need the governance program a Fortune 500 company runs. You need one that fits your team size, your risk profile, and your budget, and that someone will actually maintain after we leave.
Policy Foundation
A written AI usage policy your team can actually read and follow, covering approved tools, data handling, and who owns updates.
Risk and Bias Review
A practical review of where AI outputs touch decisions about people, pricing, or compliance, and what verification step belongs in front of each one.
Data and Access Controls
Clear rules for what data can go into which tools, matched to the access your team already has rather than a rebuild of your entire data stack.
Ongoing Accountability
A named owner, a review cadence, and a simple way to prove the policy is being followed, not just filed away.
CLIENT RESULTS
Words from the
people we have served.
The team was nearly crying with relief from the clarity that Stephens Insight Group provided!
VP, DATA CENTER SERVICES
GLOBAL FORTUNE 500
If you are wondering if Stephens Insight Group can help you, I highly recommend you reach out to start a conversation.
CHIEF DATA OFFICER
HEALTHCARE AND FINTECH EXECUTIVE
Highly skilled at driving outcomes, Stephens Insight Group started adding value on day one!
HEAD OF GLOBAL IT PMO
FORTUNE 500 COMPANY
Ready to close your
AI governance gap?
Start with a conversation. No pressure, just a candid look at where your governance actually stands today.