RUK-COM AGENT / INFRASTRUCTURE INTELLIGENCE

Intelligence for your infrastructure.
People you can trust.

Bring visibility, accountability and control to infrastructure operations. Local AI models and specialist agents work alongside Ruk-Com engineers, from observation to post-change verification.

Local AI Policy-controlled Engineer-led
01Observe systems
in context
02Plan changes
with evidence
03Control actions
through policy
04Ruk-Com engineers
oversee and take over

OBSERVE / UNDERSTAND / CONNECT

Understand the dependencies.
Then decide what to change.

One alert can involve multiple systems. Agent workflows combine telemetry, topology and change history to avoid decisions based on a single signal.

RUK-COM / INFRASTRUCTURE OPERATIONS

From infrastructure signals to verifiable actions

RUK-COM CONTROLLED ENVIRONMENTARCHITECTURE SIMULATION
01 / INFRASTRUCTURE

Compute

VM · CPU · Memory

Within the agreed service scope
02 / LOCAL AI

Ruk-Com Agent

Read-only telemetry · Contextual analysis

ObservabilityCapacityChange Planner
Evidence-backed proposals
03 / AUTHORIZATION

Policy & Engineer

Check identity, scope and approval

Unmet conditions → Stop & escalate
04 / SCOPED EXECUTION

Authorized Runbook

Task-specific tools within permissions

Record actions and outcomes

Authorized runbook → Target infrastructure → Fresh telemetry → Verification

Telemetry / VerifyAnalysis / PlanAuthorized ActionTelemetry → Analysis → Authorization → Action → Verify
01 / EVIDENCE

Compare CPU, memory and VM health with the baseline

02 / PROPOSED RUNBOOK

Propose VM resource adjustment after capacity and impact checks

03 / VERIFY

Collect fresh telemetry; check VM health and service probes

Illustrates an authorized path. Real changes require policy checks and the approval defined by the agreed tier. Verification uses fresh telemetry and acceptance criteria, not an AI claim of success.

SPECIALIST AGENTS / ONE OPERATING MODEL

Specialist agents.
One accountable workflow.

Separate analysis, planning, execution and verification. An orchestrator passes context between specialists, with engineers overseeing the operating model.

01

OBSERVE

See & understand

Observability Agent

Connect metrics, logs, traces and events to surface system health and areas for investigation.

Telemetry context

Incident Analyst Agent

Correlate alerts, build timelines and propose evidence-backed hypotheses. Escalate unclear findings to an engineer.

Evidence & hypotheses
02

PROTECT & PLAN

Assess before acting

Security Agent

Compare configuration and permissions with approved baselines and prioritize findings for review.

Risk & access review

Capacity Agent

Analyze resource trends and constraints to propose a capacity plan before pressure grows.

Capacity planning

Change Planner Agent

Prepare a change plan with impact scope, pre-checks, acceptance criteria and an appropriate recovery plan.

Change proposal
03

OPERATE & VERIFY

Execute & verify

Operations Agent

Use task-specific tools and approved runbooks after independent policy and approval checks.

Authorized execution

Verification Agent

Compare outcomes with the baseline and agreed criteria. Stop and escalate when checks fail.

Post-change evidence
Agent Orchestrator

Coordinates context and handoffs, without self-escalating privileges or bypassing the policy gate.

Explore authority tiers

INFRASTRUCTURE OPERATIONS / GUIDED SIMULATION

Follow every step.
Before and after an action.

Explore an approval-gated workflow. Each scenario has its own evidence, plan and verification. All data is simulated; no real infrastructure is connected or changed.

SIMULATION / TIER 3
SCENARIO / STORAGE-01

Storage pressure affects a database

01
ObserveObservability

Signal detected

02
AnalyzeIncident Analyst

Evidence correlated

03
PlanCapacity + Planner

Change plan prepared

04
Policy & ApprovalIndependent Gate

Engineer approval required

05
ExecuteOperations Agent

Scoped runbook

06
VerifyVerification Agent

Post-change checks

07
AuditEvidence Record

Record the approver, actions and verification

TelemetryAnalysis / PlanPolicy / ApprovalAction / Verified

Observe → Analyze → Plan → Approval → Execute → Verify → Audit

This simulation follows the scenario acceptance path to explain the flow. In production, missing evidence, denied policy or failed verification must stop the workflow and escalate under the runbook.

AUTHORITY TIERS / CONTROL BY DESIGN

The right authority for the task.
Control at every tier.

Authority tiers are separate from model size or capability. Start read-only and expand the scope after assessment and agreement.

Observe

Read-only

Read health signals and flag anomalies within authorized tenants and systems.

No system changes

Recommend

Plan only

Analyze evidence and prepare a change plan for engineer review, without invoking change tools.

Engineer reviews the proposal

Approved Action

Approval required

Execute only the approved plan, with policy, scope and permissions checked again at the tool boundary.

Per-change approval

Governed Automation

Bounded automation

Run only tested, pre-authorized runbooks with impact limits, stop conditions and outcome checks.

New scope requires new approval
Selected authority

Tier 1 · Read authorized data only. No permission to use change tools.

High-impact actions such as resource deletion, access-policy changes or topology changes require an explicit engineer approval process. A higher tier never means unlimited access.

LOCAL AI / CLEAR TRUST BOUNDARIES

Your infrastructure context.
Within a controlled environment.

Design local inference within a Ruk-Com-controlled environment, with data boundaries, retention and access aligned to the customer deployment.

Local models are one control layer. They work alongside tenant isolation, access control, data minimization and audit—not as a replacement for them.

RUK-COM CONTROLLED ENVIRONMENT
Authorized context

Minimize inputs and redact sensitive data according to policy.

Local Model Routing
Event triageIncident analysisChange planning
Independent Authorization

Downstream systems enforce permissions. The model cannot bypass policy.

Scoped Tools Audit Trail

Inference boundaries, external connections and any use of data for model improvement must be defined before deployment.

SECURITY & ASSURANCE / BUILT INTO THE WORKFLOW

Confidence, backed by evidence.

Trustworthy AI operations depend on verifiable controls, from data scope to action outcomes—not on a model answer alone.

Least-privilege access

Use task-specific identities, tenant and resource boundaries, and only the permissions needed. Review access when the scope changes.

Scoped tools

Use task-specific tools with input and parameter checks, limit open-ended commands and enforce authorization downstream.

Policy before action

Check target resources, impact scope, maintenance windows and approval status before execution.

Stop & escalate

Stop and escalate to an engineer with evidence when inputs conflict, confidence is insufficient or conditions fail.

Verify the outcome

Compare outcomes with baselines and acceptance criteria. Record passed and pending checks; command success alone does not close an incident.

Traceable decisions

Record evidence sources, plan versions, approvers, tool actions and verification for operational review and runbook improvement.

RUK-COM
ENGINEERING

AI-ASSISTED / ENGINEER-LED

Infrastructure expertise.
Behind every workflow.

Ruk-Com helps design how AI and operations teams work together: select use cases, define policies, test runbooks and assign clear ownership and escalation paths.

Architecture review Runbook rehearsal Incident handover
01

Assess

Assess systems, data, risks and candidate workflows.

DELIVERABLEScope & integration inventory
02

Design

Define agents, tiers, identities, policies and acceptance criteria.

DELIVERABLEAccess & approval matrix
03

Validate

Test with authorized data, including denied actions and escalation.

DELIVERABLETest evidence & acceptance
04

Operate & Improve

Hand over runbooks, review outcomes and evolve scope through approval.

DELIVERABLERunbook & service ownership

QUESTIONS / BEFORE YOU START

Clear scope.
Before deployment.

Can an agent change my infrastructure on its own?

It depends on the agreed tier and runbooks. Tiers 1–2 cannot change systems. Tier 3 needs per-change approval. Tier 4 is limited to tested, pre-authorized tasks, and every action still passes policy checks.

Where is my data processed?

Local inference is designed within a Ruk-Com-controlled environment. Data scope, retention, external connections and any model-improvement use are defined by deployment and agreement. Access to all data is not assumed.

What if the analysis is wrong or uncertain?

Check evidence and task conditions before acting. Missing or conflicting inputs stop the workflow and trigger engineer review with context. Post-change verification reduces reliance on model output alone.

Can every action be rolled back immediately?

Not every change is reversible, including some storage resizing operations. Define a runbook-specific recovery plan and stop conditions, with backups or recovery procedures where needed.

Can we start with our existing environment?

Start by assessing telemetry, available tool integrations, permissions and runbook readiness. Choose a bounded use case, then confirm integrations and service levels with the team before deployment.

RUK-COM AGENT / LET’S DESIGN YOUR OPERATING MODEL

Let AI support your operations.
Within boundaries you trust.

Start with your environment, operational workload and control requirements. Let Ruk-Com help define the agents, policies and runbooks that fit your organization.

Capabilities, integrations, tiers, retention and support scope are confirmed for each customer deployment and service agreement.