The Operator
Thirty years of operating discipline, distilled into one practice.
SRJ Consulting & Services is the operator-led AI advisory practice of Stephen R. Jordan, who spent three decades in senior security and operations roles at Citi, Intel, McAfee, and Optiv.
Why this operator-led AI advisory exists
Most AI advisory work today is sold by firms that also sell AI tools, AI implementations, or AI staffing. The structural incentives are obvious. The advice quietly bends toward the things the firm is selling.
SRJ Consulting & Services was founded on the opposite premise. The practice sells no software, holds no vendor partnerships, and earns no implementation fees. The only product is operating judgment, applied through a documented framework, to questions leadership teams actually need answered.
The work is operator-led, not technology-led. No software pitches. No vendor licenses. No transformation language.
About Stephen R. Jordan
Stephen R. Jordan is the founder of SRJ Consulting & Services LLC, an operator-led AI advisory practice based in Frisco, Texas. His work helps executives establish governance, oversight, and operational discipline around artificial intelligence as a managed business function, not an experimental tool.
Jordan’s professional background spans accounting, enterprise technology, cybersecurity, operational systems management, and risk governance. Over a career that includes leadership, consulting, and advisory roles across multiple industries, he has worked extensively in operational oversight, business systems management, enterprise security, incident response, governance frameworks, and technology implementation. His experience includes operational risk management, infrastructure security, compliance oversight, and business process improvement inside complex enterprise environments.
Prior to founding SRJ Consulting & Services LLC in 2023, Jordan held senior consulting, operational, and security roles at organizations including Citi, Optiv, Intel, and McAfee. His engagements span enterprise technology, cybersecurity operations, governance processes, and systems management, with recurring focus on operational risk, infrastructure security, compliance oversight, and the management infrastructure required to keep complex enterprise environments running as designed.
Jordan earned a Bachelor of Business Administration in Accounting and a Master of Arts in Political Science with a minor in business statistics from West Texas A&M University, and later completed postgraduate studies at East Texas A&M University in supervision instruction and curriculum for higher education, computer science, photography, and educational media and technology. His multidisciplinary background contributed to the operational and governance-focused perspective reflected throughout The AI Operating System™ framework.
Through his work with business owners and organizational leadership teams, Jordan recognized that many companies were adopting artificial intelligence faster than they were developing the operational systems required to govern it effectively. That observation became the foundation for The AI Operating System™ and the operational frameworks at the center of his advisory practice.
Stephen is the author of The Operating Discipline for AI Library™, a nine-volume canon on running AI as a permanent business function.
Today, Jordan works with organizations seeking to improve visibility, governance, operational discipline, cost control, measurable performance, and security defensibility across artificial intelligence initiatives and business technology environments. His work focuses on helping businesses manage AI intentionally through structured operational systems rather than fragmented adoption and uncontrolled experimentation.
Selected career
- Citi. Senior security and operations leadership at one of the largest financial institutions in the world.
- Intel. Technology leadership at the company that defined a generation of compute infrastructure.
- McAfee. Cybersecurity at one of the foundational names in the industry.
- Optiv. Security advisory at one of the largest pure-play security consultancies in North America.
Available now in hardcover, paperback, and Kindle
The Operating Discipline for AI Library™
The Library is the nine-book reference behind the firm’s methodology, now two volumes in. Both are written for the mid-market operator whose firm is too large to ignore AI but too small to maintain a Chief AI Officer or an in-house AI governance function. Browse the library.
Volume I, The AI Business Enablement Audit™
The diagnostic foundation of the Library. A structured, plain-English evaluation of how AI is operating across a business, what it is costing fully loaded, and whether it is producing measurable outcomes.
Volume II, The AI Readiness & Performance Assessment™
The readiness baseline most businesses skip. A forward-looking evaluation of whether the organization is prepared to scale AI responsibly, workflow maturity, data quality, internal controls, and the measurement infrastructure that AI depends on.
Volume III, The AI Risk & Governance Review™
The governance discipline every leadership team now needs. A structured method for producing the evidence that a board, a regulator, an insurer, or an acquirer will ask for, showing that AI decisions are documented, defensible, and under control.
Volume IV, The AI Efficiency & Process Optimization™
The closing volume of Pillar I. Once AI is understood and governed, this book turns to operational effectiveness, repeatable processes, reduced manual effort, and labor savings that are genuinely captured rather than assumed.
The AI Operating System™
The framework that anchors every SRJ engagement is documented as The AI Operating System™. It is the operating model developed across thirty years of senior leadership, adapted for the specific class of risk, performance, and governance questions that AI introduces.
Every service line offered through the practice is a discrete application of this framework. The AI Business Enablement Audit™ is the diagnostic foundation. The AI Risk & Governance Review™ is the controls layer. The AI IT Security Audit™ is the technical exposure layer. Each can stand alone or sequence with the others as part of a phased operating plan.
Who the work is for
The advisory practice is structured for organizations from mid-market to large multinational conglomerates. The common thread is leadership accountability. Every engagement is sponsored at the executive level, and every deliverable is built for an audience that has to defend decisions to a board, a regulator, or a CEO.
The work is not structured for organizations looking to procure AI tools, accelerate technology adoption, or run pilots. Those are valid pursuits. They are not what this practice does.
How to begin
Every engagement begins with a thirty-minute consultation. No deck, no pitch, no obligation. The conversation establishes where your organization currently stands and which of the nine service lines, if any, matches the question your leadership team needs answered.
Begin with a thirty-minute conversation. No deck. No pitch.
Begin the Engagement
Bring AI under operating control.
A 30-minute consultation to scope the question your leadership team needs answered. No deck, no pitch. A conversation about where your organization currently stands and what the right next step looks like.
Schedule a Free AI Consultation →
or speak directly (415) 413-7772
Stephen R. Jordan built SRJ around operator-led AI advisory, with governance grounded in recognized standards such as the NIST AI Risk Management Framework, not vendor hype.