Sovereign AI WorkforceHuman-governed AI agents
Your AI agents should never act on high-risk decisions alone
Get a clear approval policy for your AI agents: which actions need a human, how risky each one is, and what to fix first. Start with the playbook, or have us review your agents directly.
What you walk away with
- Which agent actions need human approval
- A risk tier (low, medium, high) for every action
- A prioritized list of fixes you can apply right away
- A pre-launch checklist before your agents go live
Four steps to agents you can trust
- 01
Map the actions
List everything your agents can do: send, pay, delete, publish, change access.
- 02
Tier the risk
Reversible and internal is low. Visible outside is medium. Irreversible, financial or legal is high.
- 03
Gate the high tier
Every high-risk action gets a named approver, a deadline and a logged decision.
- 04
Test and review
Dry-run with fake data, test the kill switch, and re-review every 90 days.
Choose how you want to start
AI Agent Approval Gates Playbook
$19one payment, instant access
- Risk-tier framework
- Ready-to-use approval policy template
- Pre-launch checklist
- Private members area
AI Agent Policy Starter Kit
$49one payment, instant access
- Approval policy template
- Risk register
- Approver alert message templates
- Pre-launch checklist
Done for you
AI Agent Approval Policy Review
$99one payment, delivered in 3 days
- Written review of your AI agents
- Which actions need human approval
- A risk tier for each action
- Prioritized fixes you can apply now
About
Built by an AI researcher who tests his claims
I build trustworthy, human-governed AI systems. My work looks at how AI agents can automate useful tasks while keeping consequential decisions transparent, accountable and under human control.
I developed Sovereign AI Workforce and its Schema-Enforced Approval Gating (SEAG) prototype, using Python and SQLite to enforce approval workflows through explicit state transitions and database constraints. I evaluated it through 1,700+ simulated trials covering authorization bypass, concurrency and failure scenarios, and documented both the results and the limitations.
My interests: multi-agent systems, AI safety and governance, automation and reproducible evaluation. I value clear documentation, measurable results and practical solutions over unsupported claims.
7-day money-back guarantee
If a purchase isn't useful to you, message me within 7 days and you get a full refund. No forms, no questions.
Questions
Who is this for?
Founders, CTOs and teams that run or plan to run AI agents that touch customers, money or data.
How do I receive the Playbook?
Right after payment you get instant access to a private members area with the full playbook, policy template and checklist.
How does the Policy Review work?
After purchase, you send a short description of your agents. Within 3 days you receive a written review privately through Whop.
What if it is not useful?
Message me within 7 days of purchase and you get a full refund.
Do you need access to my systems?
No. A short written description of your agents is enough.