Agentic AI as a Service (GaaS) • GA-01

Managed Agent Workflows

A business process handed over to an agent, with someone accountable for the result.

Scope

What the engagement covers.

GaaS takes a defined, high-volume workflow and runs it as an operated service on AAIOS. The client buys an outcome with an SLA, not a licence and a project risk.

Included capabilities

Workflow selection and automation feasibility assessment
Agent design: task decomposition, tools, data scope and stopping conditions
Human approval gates positioned by action risk class
Shadow-mode baseline against current human performance
Operated service with monitoring, SLA and monthly service review

Outputs and deliverables

Workflow automation assessment and business case
Agent design specification and permission model
Shadow-mode comparison against human baseline
Monthly service report with SLA performance

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.

01SelectIdentify workflows where volume, rules and evidence justify automation.

02DesignDecompose tasks, scope tools and data, define escalation and stop rules.

03ShadowRun alongside humans on real work and compare outcomes.

04ReleaseGraduated autonomy per action class with approval gates.

05OperateMonitor, tune, review drift and report against SLA.

Use cases

Where this is typically applied.

Use case 01

High-volume document review, intake and triage

Use case 02

Back-office reconciliation and exception handling

Use case 03

Tier-one service desk with escalation to human agents

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-02