Autonomous agents for Managed Services, under control.
Governed AI for regional MSPs, first deployed at Ardham and productized for managed service providers broadly.
Autonomy you can put into production.
The gap between a demo and a deployment in managed services is governance. Trunnion closes it with policy, approval, and audit built into every run.
Policy-aware by design
Policy-based access control can scope what agents may see and do in managed services; the implemented policy is verified per release.
A human stays in command
Consequential actions pause at an approval gate. Agents propose the work; your team decides what executes.
Reviewable records by design
Record coverage, supporting traces, integrity, and replay are verified for the exact release.
Deploys where you operate
Run in cloud, on-premise, or fully air-gapped, matched to the compliance posture of the vertical.
Every client tenant has its own authority and data boundary.
Regional managed service providers operate across many customer environments, identities, contracts, tools, and approval chains. The governance problem is not simply whether an AI workflow can complete a task. It is whether the workflow can stay inside the correct client tenant, use only the systems approved for that tenant, and pause when an action requires a named person. A useful deployment must keep one client's context from leaking into another client's work, preserve the source behind a recommendation, and make availability clear for the exact release. Those boundaries matter whether the workflow concerns managed IT, security, networks, infrastructure, reporting, or internal operations. ARIA is positioned for this market, but its public page does not publish a feature inventory. Workflow availability, integrations, evidence, and control behavior are established through the release and written agreement rather than inferred from this industry overview.
A representative governance review for an MSP workflow.
This sequence shows how an MSP workflow can be scoped and verified. It does not represent a published ARIA feature inventory.
Discovery names the client tenant, workflow owner, approved systems, data classes, deployment boundary, and actions that must remain human decisions.
The release scope defines what the workflow may read, which tools it may call, and how identity and policy are evaluated before any action proceeds.
The team tests cross-tenant separation, unavailable-system behavior, and the conditions that should stop or escalate a run rather than guessing at a safe fallback.
Consequential actions are mapped to a named approver, with the evidence and proposed action presented together for review.
Record coverage, supporting traces, integrity behavior, and replay expectations are tested for the exact release and environment.
Only the verified workflow enters production. This sequence is an evaluation pattern, not a claim that a specific ARIA capability is publicly available.
Where teams start.
The pattern that works is a workflow that is genuinely repetitive, has a clear owner, and fails reversibly. Governance goes in on day one, not after the pilot succeeds.
Tenant-bound access
Evaluate whether every read and action remains inside the client, role, and system boundary approved for the deployment.
Human authorization
Name the people who may approve consequential actions and define what evidence they need before deciding.
Reviewable execution
Test the record produced by a run so operators can understand the source context, policy path, decision, and outcome.
Deployment fit
Confirm cloud, on-premise, or air-gapped architecture against the customer's systems, obligations, and acceptance criteria.
ARIA
An agentic layer for regional MSPs, run under the same policy and audit controls as every other Trunnion platform. First deployed at Ardham, built to run at any MSP.
Governed AI for managed service providers.
- Runs on the governed Trunnion control plane
- LLM-agnostic model routing
- Cloud, on-premise, or air-gapped deployment
Managed Services, at a glance.
| Platform | ARIA, live |
|---|---|
| Market | Regional managed service providers |
| First deployment | Ardham Technologies |
| Feature inventory | Not published pending approved evidence |
| Evidence | Controls and workflow availability are release-specific |
Managed Services questions.
Which organizations can deploy ARIA?
Ardham Technologies was the first deployment. ARIA is productized for regional managed service providers and is designed to work across MSP operating models and approved system boundaries.
Which ARIA workflows are available?
The public site does not publish a feature inventory. Available workflows, integrations, controls, and operational behavior are confirmed for the exact release, configuration, deployment, and written agreement.
Does ARIA act without human approval?
No blanket autonomy claim is made. Consequential actions are expected to remain under the approval boundaries defined and tested for the deployed release.
Which Trunnion platform serves managed services?
ARIA is the managed-services platform. It is live, was first deployed at Ardham Technologies, and is built for regional MSPs broadly.
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Bring governed AI to Managed Services.
See the control plane run a managed services workflow, in your environment, from cloud to air-gap.