AAIOS Runtime & Tool Broker
The operating layer agents run on: permissions, memory, tools and an audit ledger.
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
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.
Where this is typically applied.
Regulated environments requiring provable human oversight
Enterprises consolidating scattered agent pilots onto one runtime
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.
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).
Managed Agent Workflows
A business process handed over to an agent, with someone accountable for the result.
GA-03Agent Governance & Oversight
Autonomy granted deliberately, in writing, per action class.
GA-04Grounding & System Integration
An agent is only as good as the systems and facts it can reach.
GA-05Evaluation & Assurance
Measure the agent continuously, because the model underneath will change.
GA-06Cost, Capacity & Model Routing
Keep unit economics under control as volume grows.