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Agentic AI as a Service (GaaS) • GA-02

AAIOS Runtime & Tool Broker

The operating layer agents run on: permissions, memory, tools and an audit ledger.

Scope

What the engagement covers.

AAIOS is the Agentic AI Operating System underneath every GaaS engagement. It brokers what an agent may call, what it may remember, what it may spend and what a human must approve, and it records all of it.

Included capabilities

  • Agent runtime with sandboxed execution and resource limits
  • Tool broker enforcing least-privilege access to each connected system
  • Governed memory: scope, retention, redaction and cross-session boundaries
  • Policy engine for approval gates, prohibited actions and escalation
  • Immutable audit ledger of prompts, tool calls, decisions and approvals

Outputs and deliverables

  • AAIOS tenant deployment and configuration
  • Tool registry with permission and rate-limit definitions
  • Policy set covering action classes and approvals
  • Audit ledger with replay and export capability
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.

01ProvisionTenant, identity integration, environments and network boundaries.
02RegisterTools and data sources with scoped credentials and rate limits.
03PolicyAction classes, approval requirements and prohibited operations.
04RunExecution with logging, cost accounting and circuit breakers.
05AuditReplayable ledger for review, dispute and regulatory inspection.
Use cases

Where this is typically applied.

Use case 01

Organizations running multiple agents that touch production systems

Use case 02

Regulated environments requiring provable human oversight

Use case 03

Enterprises consolidating scattered agent pilots onto one runtime

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.