Put clear boundaries around your team’s AI.

Know which tools your team can use, what information belongs in them, and who approves the next change.

Practical AI governance for agencies and consultancies, built around your leadership and existing IT support.

Now opening initial discovery conversations.

AI workflowsInformation boundariesAccountable decisions

Three questions your team should be able to answer.

  1. 01

    Can we use this AI tool?

    Make the approved tool, account and use case explicit.

  2. 02

    Can this information go into it?

    Document the information boundary and route uncertainty to the right owner.

  3. 03

    Who owns the next decision?

    Keep a record of approvals, exceptions and changes that need review.

A manageable process.
Useful records.

Start with one environment, up to three simple workflows and one AI vendor. Confirm what is needed before adding more.

01 / Understand

Map the actual work.

Describe tools, information inputs, outputs and human owners. Initial discovery uses descriptions, not confidential records.

02 / Organize

Make approvals usable.

Prepare an approved-use register, draft guidance and a clear path for questions and exceptions.

03 / Keep current

Track the decisions.

For teams with recurring work, maintain records, coordinate defined change reviews and report unresolved actions.

Your team keeps control.

Your leadership and IT owner retain system and risk decisions. Technical security judgments require an appropriately qualified specialist; legal questions go to qualified counsel.

For teams doing real work with AI.

Initially focused on agencies and consultancies with roughly 50–150 employees, existing IT or MSP support, and actual AI approval or change decisions.

Start with a conversation if…

  • You are deciding which employee AI workflows to allow.
  • Client requirements need to become practical staff guidance.
  • Approvals, exceptions or changes need a clear owner and record.

Ongoing support only makes sense when there is recurring work. A one-time engagement or a lighter review cadence may fit better.

Start bounded.
Continue when it’s useful.

Proposed pricing for discussion. Scope, qualified specialist availability and readiness are confirmed before any paid engagement.

Foundation plus 12 months of Operations totals $72,000. That illustration is not a required annual commitment; written terms govern.

Need a lighter cadence? AI Governance Maintenance is proposed at $2,900/month for stable existing workflows with a smaller recurring workload. Fit and scope are confirmed first.

Practical coordination.
Clear limits.

JJE Security is a developing service from John Ferguson and JJE Creative, based in Brentwood, Tennessee.

John’s background is in AI and automation. His role is workflow discovery, documentation, staff guidance and coordination. Technical security work requires appropriately qualified specialists, with their involvement and availability agreed before a paid engagement.

Know the service boundary.

This is governance support—not penetration testing, production configuration, continuous monitoring, emergency incident response, legal advice or compliance certification. No guarantee of preventing hacks or data leaks is offered.

New integrations, implementation, substantial questionnaires, travel, software licenses and additional training are separately scoped where applicable.

What AI decision
is on your desk?

Share your company type, the workflow you’re considering and who currently supports your IT. We’ll start with fit and the next decision.

Email about your AI workflow

Please send only a general description. Do not email credentials, client records or other sensitive information. This contact opens your email app; it does not submit a form.