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Managed ServicesLive

Governed AI for managed service providers.

Governed AI for managed service providers.

ARIA is built for regional MSPs running managed IT, security, network, and infrastructure services across many client environments. It inherits policy-based access per tenant, human approval on consequential actions, and reviewable execution records, with cloud, on-premise, and air-gapped deployment options verified per release.

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ARIA is a governed AI platform for regional managed service providers, built by Trunnion AI and first deployed at Ardham Technologies.

It is designed for policy-based authorization, layered tool controls, reviewable execution records, and human-in-the-loop approval gates, with implementation and tests verified for the exact release, deployed to cloud, on-premise, or fully air-gapped environments (security boundaries). Trunnion AI is aDuskbridge company, built by the team behind Viceroy NM.

LivePlatform status
MSPMarket focus
Per releaseControls verified
ARIA operating pattern

How ARIA turns a request into an accountable outcome.

This representative sequence shows where policy, automation, human authority, and evidence sit in a managed services workflow.

  1. 01
    Tenant

    Receive the MSP request

    The workflow starts inside the approved customer and service boundary.

  2. 02
    Identity

    Resolve tenant policy

    Identity, role, tenant, and tool rules scope every proposed action.

  3. 03
    Operate

    Prepare the service action

    Agents organize managed IT, security, network, or infrastructure work.

  4. 04
    Decision

    MSP operator approval

    A named operator reviews consequential actions before execution.

  5. 05
    Evidence

    Keep tenants accountable

    Release-specific records connect request, policy, approval, and outcome.

Illustrative workflow. Exact controls, integrations, and evidence are verified for the deployed release.

ARIA product logo
Built for

Regional managed service providers running managed IT, security, network, and infrastructure services across many client environments.

Intended use and limitations

What ARIA is for, and what it is not.

Designed for regional managed service providers operating across multiple client tenants. Available workflows, integrations, controls, and deployment boundaries are confirmed for the exact release and written agreement.

Like every Trunnion product, ARIA is designed to propose, draft, and prepare work for human decision, with consequential actions pausing at a human approval gate. AI outputs may be inaccurate, incomplete, or unsuitable and should not be the sole basis for a consequential decision affecting a person. Expected inputs, model providers, known failure modes, and the exact human review points for a deployment are documented in the release documentation and written agreement. See theAI transparency notice and theAI acceptable use policy.

At a glance

ARIA: key facts.

ProductARIA
CategoryManaged Services
StatusLive
PlatformTrunnion control plane: governed multi-agent orchestration
GovernanceDesigned for policy-based authorization and layered tool controls; verified per release
AuditReviewable execution records; integrity and replay verified per release
Human oversightHuman-in-the-loop approval gates on consequential actions, by design
Model postureLLM-agnostic model routing, hosted or on-premise
DeploymentCloud, on-premise, or fully air-gapped
ClassificationDesigned for classification-aware workflows up to TS/SCI; accreditation determined per environment
Security alignmentEngineered to align with NIST SP 800-53 control families; alignment by design, ahead of formal certification.
DeveloperTrunnion AI, LLC, a Duskbridge company
On the Trunnion control plane

Governed by design, like every Trunnion product.

ARIA inherits the platform's governance, audit, and deployment patterns instead of rebuilding them: policy on every action, a human operator in command, and a record you can hand to an auditor.

Policy-aware governance

Attribute-based access control (ABAC) is designed to decide what every agent may see and do, per tenant, role, and classification.

Human-in-the-loop gates

Consequential actions are designed to pause for a named operator to approve, edit, or reject before anything executes.

Reviewable execution records

The architecture is designed to record actions, approvals, and supporting traces for review. Cryptographic implementation is verified per release.

How the platform works
ARIA FAQ

Common questions about ARIA.

Who is ARIA built for?

Ardham was the first deployment. ARIA is productized for regional managed service providers across approved MSP operating models and system boundaries.

What is ARIA's public capability boundary?

The public page provides positioning only. Available workflows, integrations, controls, and operational behavior are confirmed for the exact release and written agreement.

How are ARIA capabilities verified?

Availability, integrations, controls, and operational behavior are confirmed for the exact release, configuration, deployment, and written agreement.

Next step

See ARIA against your workflow.

Request a demo and see the governed control plane run in your environment, from cloud to air-gap.

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