Agentic AI as a Service (GaaS) • GA-03

Agent Governance & Oversight

Autonomy granted deliberately, in writing, per action class.

Scope

What the engagement covers.

The governance question for agents is not whether they work but what they are allowed to do unsupervised. This service defines and maintains that boundary as the agent proves itself.

Included capabilities

Action class taxonomy from read-only through to irreversible operations
Autonomy ladder with explicit written acceptance at each step
Human-in-the-loop design: who approves what, and within what time
Drift and behaviour monitoring with automatic autonomy rollback
Quarterly oversight review with the accountable business owner

Outputs and deliverables

Action class taxonomy and autonomy ladder
Approval matrix with named accountable owners
Drift monitoring thresholds and rollback rules
Quarterly oversight report and decisions log

Workflow

How it is delivered, step by step.

Each step has an owner, an entry condition and an artefact that has to exist before the next step begins.

01ClassifyEvery action the agent can take, rated by reversibility and blast radius.

02GateApproval requirements per class, with named approvers and timeouts.

03GrantAutonomy increased only on evidence, and only with written acceptance.

04WatchBehaviour monitoring with thresholds that trigger automatic rollback.

05ReviewQuarterly review of incidents, exceptions and autonomy levels.

Use cases

Where this is typically applied.

Use case 01

Agents with authority to move money, data or physical goods

Use case 02

Sectors where automated decisions carry regulatory duties

Use case 03

Boards requiring a defensible position on AI autonomy

Delivery model

The operating pattern for Agentic AI as a Service (GaaS).

The same delivery discipline applies across every capability in this line, so combined engagements stay coherent.

Select

Pick a workflow where volume, rules and evidence make automation defensible.

Design

Task decomposition, tool permissions, data scope and escalation rules.

Pilot

Shadow mode against real work, measured against the human baseline.

Release

Graduated autonomy, approval gates and rollback for each action class.

Operate

Monitoring, drift review, cost governance and monthly service review.

Integration

AAIOS tool broker connects to ERP, CRM, ticketing, email and document stores.
Identity provider for agent identity, scoped tokens and least-privilege access.
Existing approval workflows, so human sign-off stays where governance expects it.
Data platform and warehouse for grounding, retrieval and reporting.

Engagement approach

GaaS is priced per workflow with a defined scope of actions, not per seat. Every workflow starts in shadow mode, moves to human-approved execution, and only reaches autonomous execution for action classes where the client has explicitly accepted the risk in writing.

Other capabilities in Agentic AI as a Service (GaaS).

View the full Agentic AI as a Service (GaaS) line →

GA-01