Custom Agentic Systems

A governed platform for sovereign AI operations

VYR designs and deploys custom multi-agent systems on self-hosted or client-controlled infrastructure. The platform connects AI reasoning to corporate systems, keeps high-impact actions behind approval gates, and hardens execution boundaries against the risks that come with autonomous software.

Built for operations that cannot delegate control

Off-the-shelf AI tools stop where integration, governance, and sovereignty begin. The VYR platform is engineered for workflows that read from and write to core corporate systems while keeping every high-impact action observable and accountable.

Self-hosted or client-controlled runtime

Agents run on infrastructure the client controls, with no dependency on shared endpoints for sensitive execution. Runtime boundaries are scoped to the workflows being automated.

Multi-agent orchestration

Reasoning, memory, tool access, and handoffs are coordinated across multiple agents so complex workflows can be decomposed without losing oversight.

Human approval gates

High-impact actions pause for operator approval. Autonomy is explicit, scoped, and logged — not open-ended.

Restricted execution primitives

Filesystem access, network egress, and shell execution are constrained by policy. Hardening is aligned to the CSA Guidelines on Securing AI Systems.

Inside a run

What a governed agent run looks like

Every VYR deployment runs on OpenClaw, a self-hosted execution gateway, orchestrated by Hermes — the layer that coordinates specialist agents, memory, and human approval gates. The sequence below is a representative run of one deployed workflow, end to end.

1INTAKE2CLASSIFY3DRAFT REPLY4POLICY CHECK5HUMAN GATEHOLD → REVIEW → RELEASE6WRITEBACK7AUDIT LOG
Specialist agents

Each stage is a scoped agent with one job — intake, classification, drafting. No agent holds broad permissions.

The human gate

High-impact actions hold until an operator releases them. The gate is enforced by the runtime, not by convention.

Deterministic writeback + audit

Approved actions write to Xero, HubSpot, or the CRM with a full trace. Every run ends in the audit log, and the feedback loop tunes the next one.

What a Hermes Agent OS deployment guarantees

Self-hosted runtime
Every action logged
Approval before writeback
PDPA & CSA-aligned controls

This is the runtime. The 3-week path to deploying it is on the delivery process page.

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Integrated with the systems the operation already uses

Agents are not abstract assistants. They are wired into the software where work already happens — reading from CRM records, writing back to accounting systems, posting updates to collaboration tools, and routing exceptions to the right human reviewer.

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Connected systems

  • Xero
  • HubSpot
  • Slack
  • Talenox
  • Payboy
  • CRM / help desk / knowledge base
  • Document storage and internal databases

Start with one workflow, expand to a governed operating layer

Most platform engagements begin with a single high-friction workflow. Once the first automation is live, measured, and trusted, the same runtime and governance model expand into adjacent operations.

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