Compute
VM · CPU · Memory
Within the agreed service scopeRUK-COM AGENT / INFRASTRUCTURE INTELLIGENCE
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.
OBSERVE / UNDERSTAND / CONNECT
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
VM · CPU · Memory
Within the agreed service scopeRead-only telemetry · Contextual analysis
Evidence-backed proposalsCheck identity, scope and approval
Unmet conditions → Stop & escalateTask-specific tools within permissions
Record actions and outcomesAuthorized runbook → Target infrastructure → Fresh telemetry → Verification
Compare CPU, memory and VM health with the baseline
Propose VM resource adjustment after capacity and impact checks
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
Separate analysis, planning, execution and verification. An orchestrator passes context between specialists, with engineers overseeing the operating model.
OBSERVE
Connect metrics, logs, traces and events to surface system health and areas for investigation.
Telemetry contextCorrelate alerts, build timelines and propose evidence-backed hypotheses. Escalate unclear findings to an engineer.
Evidence & hypothesesPROTECT & PLAN
Compare configuration and permissions with approved baselines and prioritize findings for review.
Risk & access reviewAnalyze resource trends and constraints to propose a capacity plan before pressure grows.
Capacity planningPrepare a change plan with impact scope, pre-checks, acceptance criteria and an appropriate recovery plan.
Change proposalOPERATE & VERIFY
Use task-specific tools and approved runbooks after independent policy and approval checks.
Authorized executionCompare outcomes with the baseline and agreed criteria. Stop and escalate when checks fail.
Post-change evidenceCoordinates context and handoffs, without self-escalating privileges or bypassing the policy gate.
INFRASTRUCTURE OPERATIONS / GUIDED SIMULATION
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.
Signal detected
Evidence correlated
Change plan prepared
Engineer approval required
Scoped runbook
Post-change checks
Record the approver, actions and verification
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
Authority tiers are separate from model size or capability. Start read-only and expand the scope after assessment and agreement.
Read-only
Read health signals and flag anomalies within authorized tenants and systems.
Plan only
Analyze evidence and prepare a change plan for engineer review, without invoking change tools.
Approval required
Execute only the approved plan, with policy, scope and permissions checked again at the tool boundary.
Bounded automation
Run only tested, pre-authorized runbooks with impact limits, stop conditions and outcome checks.
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
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.
Minimize inputs and redact sensitive data according to policy.
Downstream systems enforce permissions. The model cannot bypass policy.
Inference boundaries, external connections and any use of data for model improvement must be defined before deployment.
SECURITY & ASSURANCE / BUILT INTO THE WORKFLOW
Trustworthy AI operations depend on verifiable controls, from data scope to action outcomes—not on a model answer alone.
Use task-specific identities, tenant and resource boundaries, and only the permissions needed. Review access when the scope changes.
Use task-specific tools with input and parameter checks, limit open-ended commands and enforce authorization downstream.
Check target resources, impact scope, maintenance windows and approval status before execution.
Stop and escalate to an engineer with evidence when inputs conflict, confidence is insufficient or conditions fail.
Compare outcomes with baselines and acceptance criteria. Record passed and pending checks; command success alone does not close an incident.
Record evidence sources, plan versions, approvers, tool actions and verification for operational review and runbook improvement.
AI-ASSISTED / ENGINEER-LED
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.
Assess systems, data, risks and candidate workflows.
Define agents, tiers, identities, policies and acceptance criteria.
Test with authorized data, including denied actions and escalation.
Hand over runbooks, review outcomes and evolve scope through approval.
QUESTIONS / BEFORE YOU START
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.
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.
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.
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.
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
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.