Jason Lohse
Founder, Priority Governance
Someone should own AI governance. It doesn’t have to be a full-time hire. Priority Governance exists to be that owner for organizations where AI use is growing and nobody owns it.
AI Governance Rarely Fails at the Policy. It Fails at Ownership.
Most organizations do not discover an AI governance gap through a formal audit. They discover it when a customer sends an AI questionnaire, leadership asks what the policy is, or someone realizes employees have been using AI tools without clear boundaries. The technology may already be producing value. The operating decisions around it simply have not caught up.
Priority Governance exists to close that gap as an ongoing function rather than a one-time document. Its flagship offering is Control Center: the place an organization establishes its AI rules — who may use which AI tools, and with what information — and maintains them as its use of AI evolves, with the approved decisions, exceptions, open actions, and scheduled reviews held together and a leadership view of what needs attention. Guided Activation is included in every plan, so nobody begins with an empty dashboard.
Above it sits Fractional AI Governance, the premium operating layer for organizations that would rather Priority Governance operate the recurring process with them: we maintain the inventory, run the reviews, record the decisions, and brief leadership every month, without an internal governance team being built. Control Center is included while it is active.
Enterprise Technology, Transformation, and Hands-On AI
Jason Lohse brings more than a decade of experience across enterprise technology, data, analytics, transformation, and AI-enabled product development. That work centered on operating models, leadership planning, and implementation frameworks — what it takes to move an organization from a framework on paper to practices teams actually follow.
His AI experience is hands-on. In NTT DATA’s Data Analytics & AI practice he led a GenAI proof-of-concept training initiative, carrying it from onboarding and requirements through validation and enterprise documentation. He has also built AI-enabled applications and businesses of his own, using voice agents, automated messaging, and structured workflows with human oversight in the loop.
That combination shapes how Priority Governance operates. It reflects both sides of AI adoption: where AI can improve speed and service, and where unclear data boundaries, ownership, review paths, or evidence create avoidable problems.
The AI Governance Operating System
The AI Governance Operating System is Priority Governance’s framework: seven pillars covering the areas where AI governance actually comes apart — from which AI tools you have and what information may go into them, through how vendors and AI output get checked, to who is accountable. In the product they are named Inventory, Access & Data, Use Controls, Risk & Compliance, Vendor & Procurement, Model & Output Controls, Oversight & Accountability.
Jason built it so an organization can name an owner, decide with the right information in front of it, keep a record of what was decided, and bring in a specialist when a question needs one — without AI governance becoming another full-time job.
The same framework runs underneath everything Priority Governance offers. It runs continuously in Control Center and Fractional AI Governance, and in a more contained form in the QuickScan, the QuickStart Workshop, and the Starter Kit.
Control Center
The flagship offering. Where your AI rules, approved decisions, exceptions, and scheduled reviews live — established with you through Guided Activation, then maintained as your use of AI evolves, with a leadership view of what needs attention.
Fractional AI Governance
The premium operating layer above Control Center. Priority Governance operates the recurring governance process, maintains the records, and reports to leadership on a predictable rhythm — typically beginning with a 90-day pilot.
The Free AI Governance QuickScan
A directional readiness snapshot across the QuickScan’s seven readiness pillars, with the most visible gaps and a starting point for the internal conversation.
The AI Governance QuickStart Workshop
A live 90-minute facilitated leadership session to interpret results, set priorities, assign owners, and agree the first moves.
The AI Governance Starter Kit
Editable implementation materials and guidance for organizations putting the first governance structures in place themselves.
What Priority Governance Does, and What It Does Not
Priority Governance recommends, coordinates, records, and tracks. Leadership decides. Specialists advise or implement within their disciplines.
It does not provide legal advice, security assessments, audits, or compliance certification. When a decision requires counsel, a security specialist, or another licensed professional, the work belongs with the appropriate advisor. The purpose of Priority Governance is to help organizations see the issues clearly, organize the work, and arrive at those conversations better prepared.
Start with a Conversation About Governance Ownership
A 15-minute discussion covering how AI is currently used in your organization, who owns governance decisions today, and where leadership needs more clarity or support. If Control Center is not the right next step, we will say so and identify a more appropriate path where we can.