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Biography
Stephen R. Jordan built SRJ Consulting & Services LLC on three decades in enterprise operations, security, and risk, including the programs of Citi, Intel, McAfee, and Optiv. The frameworks the practice advises on come from running those programs, not studying them.
At Citi he owned Level 3 endpoint security across roughly 500,000 endpoints in 165 countries. At Intel and McAfee he led product security incident response, directing senior security architects, publishing CVEs to MITRE, and standing up the Security Development Lifecycle. At Optiv, one of North America's largest pure-play security advisories, he scoped multi-year enterprise engagements directly at the CIO, CEO, and CDO level. Earlier roles as owner-operator and engineer rounded out the operator-owner-engineer-advisor range the practice rests on today.
SRJ is built on a constraint most AI advisory firms cannot claim: no software resold, no vendor partnerships, no implementation revenue. The advisory itself is the product, which removes any commercial reason to recommend anything other than what is right for the business.
The firm's methodology, The AI Operating System™, puts AI under management discipline across governance, performance, and security. Stephen is the author of seven volumes in The Operating Discipline for AI Library™ (SRJ Consulting & Services Publishing), available now in hardcover, paperback, and Kindle, written for owners and executives whose firms are too large to ignore AI but too small to staff a Chief AI Officer.
Stephen R. Jordan is the founder of SRJ Consulting & Services LLC, an operator-led AI advisory practice in Frisco, Texas. He brings three decades of senior security, operations, and risk leadership, including roles at Citi, Intel, McAfee, and Optiv to the question executives now face: is AI making the business stronger, or quietly exposing it? Jordan built the practice on a deliberate constraint, no software sales, no vendor partnerships, no implementation fees, so the advice answers only to the client's outcomes. He is the author of seven volumes in The Operating Discipline for AI Library™, available now in hardcover, paperback, and Kindle, setting out The AI Operating System™ for running AI as a managed business function.
The AI Operating System™
Visibility
A complete audit of every AI tool and embedded feature in the business.
Accountability
Ownership and decision rights for AI activity, without slowing the work.
Control
A risk framework that meets the regulatory bar without consulting-firm overhead.
Measurement
Turning AI from experiment into a managed, measured business function.