Agent Authority Charter Builder Skill

AM
Arkadiy Miteiko

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Agentic AI governance starts with one question:
What was the agent authorized to do before it acted?
I just contributed a new Lawve AI Skill: Agent Authority Charter Builder.
It helps legal, compliance, risk, and AI governance teams define an agent’s delegated authority before deployment: permitted actions, prohibited actions, human approval rules, escalation triggers, evidence requirements, suspension/revocation controls, and deployment-readiness status.
This is the control layer many organizations are missing.
Because once agents begin updating systems, triggering workflows, recommending decisions, or executing bounded actions, governance cannot remain abstract.
The institution needs a clear authority artifact before execution.
Not just model safety.
Not just policy review.
Not just audit after the fact.
Authority before action.
Evidence before reliance.
Escalation before harm.
Live now on Lawve AI!

This is the first in a sequence.
Next, I plan to publish four companion Skills that extend the same governance thesis:

Runtime Admissibility Review: To determine whether a previously authorized AI action is still permissible under current facts, policy, authority, and evidence conditions.

Execution Evidence Pack Generator: To produce a structured audit artifact showing what the agent did, why it was allowed to act, what evidence it relied on, and who approved or escalated the action.

Regulated AI Pilot / Sandbox Waiver Pack: To help financial institutions, insurers, healthcare organizations, and protocol suppliers prepare regulator-facing pilot proposals for controlled agentic AI deployment.

AI Vendor Runtime Governance Due Diligence: To evaluate whether an AI vendor can safely operate inside an enterprise control environment, including authority boundaries, escalation logic, evidence generation, auditability, and revocation controls.

Together, these Skills are designed around one premise:
Agentic AI will not scale in serious institutions on intelligence alone.
It will scale on recognizable authority, controlled execution, and evidence that survives review.

AM

Author

Arkadiy Miteiko

Founder of Veraxis and architect of the Veraxis Execution Integrity Protocol, focused on runtime governance, delegated authority, and evidence infrastructure for agentic AI systems. My work centers on helping enterprises and regulated institutions define what AI agents are authorized to do before they act, when they must escalate, and what evidence must be preserved for audit, compliance, and institutional review.

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