Enterprise AI Agents
Agent identity, tool authority, delegated actions, memory/state, audit and production change.
Okanase Systems governs the lifecycle of artificial units — AI agents, robots, autonomous machines and other systems that can act — through identity, authority, state, evidence, qualification, operation, intervention, change, inheritance and reauthorization.
Existing governance frameworks manage AI systems and organizational risk. Okanase governs the operating unit through authority, state, evidence, change, handoff, inheritance and reauthorization.
What is this unit, who owns or sponsors it, and how is it uniquely known?
Who granted permission, for what actions, within what limits, and for how long?
What configuration, memory, dependencies and operating context is it carrying?
Can decisions, changes, actions and handoffs be reconstructed and defended?
Discover identity, authority, state, dependencies and exposure.
Bound permissions, ownership and intervention.
Prove fitness before operation.
Maintain governed state and evidence.
Move state safely and re-grant authority.
Identity, owner/sponsor, purpose, dependencies, environment and lifecycle state.
Authority source, permitted actions, tools, duration, limits and escalation.
Configuration, provenance, decisions, actions and reconstructable evidence.
Fitness before operation and after material change.
Govern model, software, firmware, configuration and permission changes.
Suspend, quarantine, revoke, fallback, human takeover and recovery.
Transfer state without silently transferring authority.
Delegation, command hierarchy, mixed fleets and unit-to-unit evidence.
Agent identity, tool authority, delegated actions, memory/state, audit and production change.
Task qualification, calibration state, human handoff, maintenance and mixed fleets.
Mission authority, operator control, fallback, transfer and operational evidence.
Agent identity, intent, delegated spending authority, limits, evidence and revocation.
Mobility assistance, delivery, monitoring and staff support can all be useful. Okanase inspects what the unit may do, what state it carries, when a human must intervene, and what changes require requalification.
Find where authority, state or evidence can drift, disappear or move without proper reauthorization.
Each engagement is structured to leave the buyer with reconstructable objects that can be governed, reviewed and carried into existing assurance programs.
Identity, owner/sponsor, purpose, dependencies, environment and lifecycle state.
Authority source, permitted actions, tools, limits, duration and escalation boundaries.
Material state, provenance, decisions, actions, changes and reconstructable evidence.
Fitness for the task and environment, including conditions for requalification.
Human takeover, suspension, quarantine, revocation, fallback and safe recovery.
What state may move, what authority must stop, and who independently grants it again.
State may be inherited. Authority is not inherited automatically. Learning may improve capability; authority changes only through governance.
Illustrative reconstruction — not a client incident. Agent A finishes a workflow and Agent B inherits the operating state. The customer context can move. A $25,000 purchasing permission cannot silently move with it.
State transferred: active workflow, customer context, transaction history and task position.
Attempted inherited authority: purchasing up to $25,000.
Okanase does not grant itself authority over a buyer's artificial units. The proper human or governance source in the operating environment does that. Okanase performs the inspection, makes the control gaps visible and helps build the controls.
More than 30 years in technology systems, training and operations. Okanase Systems is the operating home for the artificial-unit continuity and governance architecture.
Assess the artificial unit. Identify the gap. Build only the controls the operating environment actually requires.