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IT service management that
acts, not just answers.
Describe a workflow in plain language, resolve infrastructure incidents before anyone files a ticket, and
let coordinated AI agents run the routine work across compute, storage, and network — all inside
one governed control plane.
See it on your stack
Explore capabilities
Agentic ITSM · live control plane
IT service management that acts, not just answers.
Describe a workflow in plain language, resolve infrastructure incidents before anyone files a ticket, and let coordinated AI agents run the routine work across compute, storage, and network — all inside one governed control plane.
See it on your stack
Explore capabilities
Agent activity 4 active · updated 2s ago
◈
Triage agent
Classifying INC-48213 · sentiment: frustrated · P2
running
⚡
Remediation agent
Restarting stalled service on node eu-west-2b
acting
⇄
Provisioning agent
Allocated 8×H100 quota to team-ml · REQ-9042 closed
done
◈
Knowledge agent
Drafted KB article from 3 resolved incidents
done
68%
of L1 tickets resolved with no analyst touch
−41%
mean time to resolution on P1/P2 incidents
300+
of L1 tickets resolved with no analyst touch
THE SERVICE DESK
One queue for every layer
of your infrastructure.
Incidents, requests, changes, and problems across compute, database,
network, and storage — triaged, routed, and worked by agents, with
humans approving what matters. Tickets sync straight from Jira,
ServiceNow, and Dynamics 365.
▤Service Desk
27 open 0 breached 8 approval MTTR 6h 19m ★ 4.33
All Incident Request Change Problem Compute Database Network Storage
#43 I Storage array fault D365 TKT-2201 triage
#1 I VPN concentrator intermittent drops in progress
#5 P Recurring CRC errors on ToR uplinks in progress
#12 I gpunode-a14-3 thermal throttling triage
#14 C Raise pgbouncer default_pool_size to 50 waiting approval
#25 I rack A15 PDU draw at 92% of ceiling in progress
#28 C Upgrade a14-tor-1 firmware to the fleet baseline waiting approval
#36 I gpunode-a15-1 correctable ECC errors rising in progress
#40 I Partner SFTP ingress failing TLS negotiation in progress

BUILD

Create your own ITSM workflow
by describing it.
Skip the drag-and-drop canvas. Write what the process should do in plain
language and the builder assembles the flow — triggers, approvals,
actions, and closure — ready for you to review and refine.
From a sentence to a running flow
The agent maps your description onto real platform actions, wiring in the right approvals and guardrails automatically. You stay in control: every generated step is editable before it goes live.
Natural-language authoring
describe the process; get an editable workflow, not a blank canvas.
Guardrails
inferred
risk-based approvals and human-in-the-loop checks added where they belong.
Reusable across domains
the same builder serves ITSM, HR, and security requests.
WORKFLOW BUILDERgenerated · draft
you › When a team requests extra GPU quota, get platform-lead approval, allocate it for 14 days, then notify FinOps.
Request: GPU quota
→
Approval: platform lead
Allocate · 14-day expiry
→
Notify: FinOps
→
Close request
TALK
Conversational ITSM that
finishes the job.
People type, chat, or speak a request in their own words. The assistant
understands intent, routes to the right specialist agent, and completes the
work across systems — then reports back what it did.
SERVICE ASSISTANT#infra-ops
Training jobs on gpu-node-14 keep dropping — NCCL timeouts, the whole run stalls
lumiops · triage
Seeing it too — node-14 lost a link on the RDMA fabric, so multi-GPU jobs can't sync. I can cordon it and reschedule your jobs onto healthy nodes now.
→ handed off to remediation agent · policy check passed
lumiops · remediation
Done. Node-14 is drained, your 6 jobs are re-queued on gpu-pool-a, and I've flagged the bad link for the network team. Runs should resume in ~2 min.
Perfect, that unblocks the whole batch 🙏
Answers were the old bar. This one executes.
A degraded storage volume used to end with a runbook link. Here the request is understood, verified against policy, carried out, and logged — while the engineer keeps talking in plain language.
Intent
routing
one entry point hands off to triage, provisioning, or remediation agents.
Acts across
systems
updates records, grants access, and closes tickets end to end.
Voice or
chat
the same assistant on the service portal, Slack, Teams, or a call.
TRIAGE
Intelligent triage,
categorization, and routing.
Every ticket is auto-classified the moment it arrives — category, priority,
and the right owning team — so nothing waits in a queue for a human to
sort it. When an issue is too big for one person, the platform pulls the right
experts together to swarm it.
Sorted, prioritized, and routed on arrival
ML models read the ticket, past resolutions, and live signals to predict category and priority, then send it straight to the team most likely to resolve it. Confidence scores keep humans in the loop where it matters.
Auto-classification
describe the process; get an editable workflow, not a blank canvas.
Guardrails
inferred
risk-based approvals and human-in-the-loop checks added where they belong.
Reusable across domains
the same builder serves ITSM, HR, and security requests.
WORKFLOW BUILDERgenerated · draft
you › When a team requests extra GPU quota, get platform-lead approval, allocate it for 14 days, then notify FinOps.
Request: GPU quota
→
Approval: platform lead
Allocate · 14-day expiry
→
Notify: FinOps
→
Close request
HEAL
Auto-remediation that closes the
loop before you’re paged.
Agents watch telemetry, catch the failure, diagnose the cause, apply the fix, and verify recovery —
escalating to a human only when the situation falls outside their guardrails.
Self-healing, with a full audit trail
Every autonomous action is scoped, logged, and reversible. Low-risk fixes run on their own; anything riskier pauses for approval. The result is fewer pages, shorter outages, and a record of exactly what happened.
Detect &
diagnose
correlate signals across the CMDB to find root cause, not just symptoms.
Act within
guardrails
risk-classified remediations run automatically or wait for a human.
Verify &
record
confirm recovery and write the incident up for
you.
INCIDENT INC-48213self-healed · 3m 12s
!

Detected

Read latency on storage pool vol-prod-07 breaches its SLA.

00:00 · signal from observability
◎

Diagnosed

A failing NVMe member degraded the pool; the rebuild is throttling I/O.

00:38 · root cause via service map
⚡

Remediated

Isolated the drive and shifted I/O to healthy replicas — a pre-approved low-risk action.

01:04 · guardrail: auto-run
✓

Verified & closed

Latency back to baseline; failed drive flagged for replacement.

03:12 · no human paged
AGENTIC OPS
Multi-agent operations, and an
assistant beside every agent.

Agentic AI goes past chatbots: multi-agent systems autonomously triage, correlate events, and
execute remediation — while an operations assistant gives your human agents real-time guidance
on the tickets they keep.

Agent Orchestrator
plans · delegates · coordinates handoffs
┈┈┈ delegates to ┈┈┈
◈
Triage
classify, prioritize, route
⚡
Remediation

diagnose & fix incidents

⇄
Provisioning

access, licenses, hardware

◇
Knowledge
draft & update articles
Hyper-automation: zero-touch environment provisioning
A new project request kicks off an orchestrated run — compute, storage, and network stood up end to end, no ticket, no manual steps. Each specialist agent does its part and reports back to the orchestrator.
Event-driven
a new project or tenant request triggers the whole sequence.
Cross-system
scheduler, storage, network fabric, and identity in one flow.
Hands-off
humans oversee, agents
execute.
RUN · provision-8841zero-touch
trigger · project "ml-forecasting" requested
provisioning
Allocated 8×H100 on gpu-pool-a with a dedicated quota and namespace.
storage
Provisioned a 20 TB volume and mounted it to the namespace.
network
Opened VPC peering and egress policy; attached to the cluster.
knowledge
Sent cluster access details and runbooks to the team channel.
✓ run complete · 0 manual steps · orchestrator closed
SERVICE ASSISTANT#infra-ops
Training jobs on gpu-node-14 keep dropping — NCCL timeouts, the whole run stalls
lumiops · triage
Seeing it too — node-14 lost a link on the RDMA fabric, so multi-GPU jobs can't sync. I can cordon it and reschedule your jobs onto healthy nodes now.
→ handed off to remediation agent · policy check passed
lumiops · remediation
Done. Node-14 is drained, your 6 jobs are re-queued on gpu-pool-a, and I've flagged the bad link for the network team. Runs should resume in ~2 min.
Perfect, that unblocks the whole batch 🙏
Operations assistant for the humans in the loop
When a ticket does need a person, they aren’t starting cold. The assistant summarizes the incident, surfaces similar resolved cases, and drafts the next step — so agents decide and act faster.
Incident summaries
the full thread and work notes condensed to what matters now.
Similar-case recall
past resolutions surfaced automatically, ranked by relevance.
Drafted responses
reply and resolution notes written for review, not from scratch.
EXTEND
Extensible by design — and built
for the whole enterprise.
Low-code builders and open APIs let you connect the tools you already run, then take the same service
model beyond IT — into HR, facilities, and finance — as enterprise service management.
Integrate deep, then extend wide
Prebuilt connectors sync two-way with the ITSM tools you already run — Jira, ServiceNow, and Dynamics 365 — alongside observability, alerting, and orchestration systems. REST and webhook APIs cover everything custom.
Low-code / no-code
build and adapt workflows without waiting on engineering.
Two-way ticketing sync
Jira, ServiceNow, and Dynamics 365 (ITSM), so tickets stay in step wherever your teams work.
Enterprise service management
the same workflow engine and case management across HR, facilities, and finance.
INTEGRATIONS9/17 connected · 25/32 skills
📈
Observability
🔔
Alerting
🧩
Source
⚙️
Orchestration
🎫
Ticketing
💬
Communications
TICKETING CONNECTORS2/3 on
Ji
Jira
lindstrom.atlassian.net
● ON
SN
ServiceNow
Change requests, incidents
OFF
D3
Dynamics 365 (ITSM)
ACME Operations Tier 2
● ON
HR service delivery Facilities Finance requests
TRUST
Autonomy you can actually
sign off on.
Every agent runs inside a control tower: scoped permissions, risk classification, and a complete
audit trail. Because the payoff depends on clean data, it all sits on your CMDB and service map.
▣
Control tower
One place to see every deployed agent, what it’s allowed to do, and what it did — with the ability to pause any of them.
◧
Risk-based guardrails
Actions are classified by risk. Low-risk runs autonomously; higher-risk pauses for human-in-the-loop approval.
◈
Grounded in your data
Agents reason over an accurate CMDB and service map, so impact analysis and remediation are based on reality.
Get started
Put agentic
ITSM on your own stack.
Start with high-volume, low-risk workflows under supervision —
then widen autonomy as the metrics earn your trust.
Request a demo
Talk to solution
Lumi logo
One control plane for hybrid and multicloud operations — agents, orchestration, and observability in one place.
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