Agent Builder - LumiOps

Governed AI agents
for enterprise IT
operations

LUMI turns the operational knowledge in your runbooks, workflows and expert teamsinto governed AI agents. Reduce repetitive operational work, resolve incidents faster, optimize cloud and infrastructure cost, and strengthen resilience — while maintaining policy control, visibility and accountability.

Why LUMI

Scale operations. Improve
resilience. Stay in control.

Modern IT operations are constrained by fragmented tools, recurring incidents, rising cloud
costs and too much manual work. LUMI gives ITOps, SRE, DevOps, cloud and FinOps
teams a governed way to run IT operations at enterprise scale — without scaling toil.

Eliminate repetitive toil

Automate high-volume investigation, enrichment, routing and remediation work, so engineering teams spend less time on repeatable tasks.

Resolve incidents faster

Move from alert to governed action in one operational flow — detection, context, diagnosis, decision logic, approvals and remediation.

Improve resilience

Standardize response to recurring risks, identify issues earlier, and reduce dependency on individual experts during high-pressure events.

Optimize cost continuously

Turn infrastructure, cloud-spend and operational-efficiency signals into action — identify resource waste, surface anomalies and automate cleanup.

Keep AI accountable

Enforce policy, require approvals, control access and trace every action. Teams gain the autonomy to operate faster without creating a new layer of operational risk.

From knowledge to agents

Turn operational knowledge
into governed agents

Your teams already know how to troubleshoot incidents, validate changes, manage cloud resources and remediate recurring
problems. LUMI transforms that expertise into reusable AI agents that operate within the boundaries you define.

Describe

Start with a natural-language prompt

Start with an operational objective, not a blank canvas. LUMI drafts the workflow — triggers, skills, AI steps, decision logic and actions — from the objective you describe, and you refine it from there.

lumi · describe the objectivenew agent

Triage an incident and route it to the right team

Detect anomalous cloud spendquick start

Diagnose infrastructure performance degradationquick start

Investigate a Kubernetes crash loopquick start

Rotate aging IAM keys with approvalquick start

✓ prompt-led workflow creation · quick-start examples

Compose

Build the operational logic

Compose workflows with the building blocks your teams
already use — signal in, controlled action out.

Triggers

Start work from the signals your environment already emits, on a schedule or on demand.

Skills

Trigger from a prompt, slash command, schedule, webhook or ITSM event — from a single fix to statewide orchestration — with live status, steps and full traces.

AI capabilities

Reasoning inside the runbook, grounded in the knowledge your organization already trusts.

Flow controls

Handle the real shape of operational work, including the exceptions that break scripts.

Human steps

Keep people at the decisions that need judgement, and out of the ones that do not.

Actions

Controlled execution across infrastructure and external systems, every call audited.

Govern

Set the boundaries
before agents act

Define the operational controls that make AI automation enterprise-ready — decided
in advance, enforced at run time.

Approval gates

Sensitive changes stop and wait for a named human decision before anything executes.

Access scopes and permission boundaries

Each agent sees only the systems and data its objective requires — nothing wider.

Policy checks and guardrails

Policy is evaluated on every run, so behaviour cannot drift outside the agreed envelope.

Error budgets and escalation paths

When an agent exceeds its budget, work escalates to the right team instead of retrying blind.

Safety controls for autonomous actions

Set what an agent may do unattended, per environment, and change it as confidence grows.

Audit trails for every step

Every decision, tool call, approval and outcome is recorded and reviewable after the fact.

Promote

Promote proven workflows into reusable agents

Once a workflow is validated, turn it into a reusable agent with defined objectives, performance thresholds, cost controls, safety requirements and observability. Your teams scale proven operational patterns — not one-off automation.

workflow v4 · promote to agentready

Objective · reclaim unused block storagedefined

Threshold · success rate & latency SLOset

Cost control · per-run budget ceilingset

Safety · approval on tier-1 assetsrequired

Observability · tracing & audit enabledon

✓ reusable across teams · versioned · reversible

Specialized agents

Start faster with specialized agents

LUMI provides specialized agent foundations for the operational domains that create the most
risk, cost and repetitive work across enterprise IT.

Network Specialist

Investigate latency, connectivity and routing issues across hybrid and multicloud infrastructure.

Compute Specialist

Identify utilization inefficiencies, right-sizing opportunities, and compute or container operational risk.

Storage Specialist

Surface disk health concerns, cleanup opportunities and storage performance issues before workloads are affected.

Database Specialist

Investigate performance, capacity and error patterns to help reduce avoidable database risk.

FinOps Agent

Detect spend anomalies, identify optimization opportunities, automate cost-cleanup workflows and connect spending to operational value.

ITSM Agent

Classify, enrich and route service requests, keep tickets current as work progresses, and close the loop between remediation and the service desk.

Observability & governance

Observe, govern and improve
every agent

Autonomy without accountability creates risk. LUMI makes agent behaviour observable from the first run —
what agents did, how they performed, what they cost and where they created value.

Measure performance

Track execution speed, latency, throughput, acceptance, completion quality, success rates, error rates and SLO attainment across individual agents and your full agent fleet.

Enforce safety and governance

Monitor approval requests, policy checks, guardrail events, access controls, human interventions, autonomy levels, and actions that were executed, deferred, reverted or failed.

Understand cost and efficiency

See spend across AI models, tokens, tools, workflows and infrastructure. Compare agent cost against operational outcomes to make informed scaling and optimization decisions.

Trace every decision and action

Follow each agent from trigger through investigation, decision, tool call, approval, execution and outcome. LUMI gives teams the complete audit trail.

Integrations

Connect your existing stack

LUMI works with your existing IT environment without rip-and-replace.

Observability and incident intelligence

Bring together metrics, logs, monitors, alerts, entity context and incident signals, so agents investigate accurately and act with context.

Cloud and infrastructure

Query and take controlled action across supported cloud, Kubernetes, infrastructure and database environments.

Engineering and IT operations

Coordinate work across the systems where teams already operate — source control, ticketing, collaboration, email, APIs and webhooks.

Knowledge and operational context

Ground agents in approved runbooks, playbooks, standard operating procedures and internal documentation, with private, team or organization visibility.

Enterprise readiness

Built for governed enterprise automation

LUMI is designed to help enterprises move beyond disconnected automation and isolated AI experiments.
Five capabilities have to hold together for AI to be operationalized responsibly.

Governed execution

Policies, approval gates, access scopes and controlled actions — enforced on every run, not documented and hoped for.

Operational transparency

End-to-end tracing, performance data and outcome visibility, so any action an agent took can be explained after the fact.

Reusable operational intelligence

Workflows, skills, specialized agents and organizational knowledge that compound across teams instead of expiring with the incident.

Continuous optimization

Agent observability, cost measurement, safety controls and performance tuning — autonomy extended on evidence.

Enterprise-wide scale

One governed model across ITOps, SRE, cloud operations, FinOps, infrastructure and sustainability teams.

Get started

Put governed AI agents
to work

Give every engineer a coworker, build the agents you need, set your guardrails — and let Lumi
run your operations while your people do their best work.

Approval gates

Access scopes and permission boundaries

Policy checks and guardrails

Error budgets and escalation paths

Safety controls for autonomous actions

Audit trails for every step

Governed execution

Operational transparency

Reusable operational intelligence

Continuous optimization

Enterprise-wide scale

Build

Orchestrate

Cowork

Resolve

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