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HELMby LockedIn Labs

HELM / Observe. Orchestrate. Stay ahead.

Agentic AI
operations.

HELM brings evidence, agentic workflows and human decisions into one operations platform. Investigate a signal, compose a plan and inspect the approval path in the synthetic reference walkthrough.

Take the guided tour
Operating pictureSynthetic reference · read-only

01 / Trace a proposed change

What does it reach?

Change target
degraded

East edge gateway

Packet loss and path latency are outside the operating envelope.

3 reachable services

Select a service to trace its registered dependencies

Inspect dependency paths · 3
  1. East edge gateway → Checkout web
  2. East edge gateway → Payments API → Nightly close
  3. East edge gateway → Payments API
Recorded signal

East edge packet loss outside threshold

2.4%open · threshold 0.5%
Human authority

Rebalance east edge routing

proposed · proposal only · execution disabled

Reference walkthrough · recorded from HELM by LockedIn Labs

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In full view

One workspace for the network, the estate, the briefing, contact operations, the agents and the incident loop: agents propose, and a person approves.

1:07 · recorded from the reference application · synthetic sample data · Recorded from HELM by LockedIn Labs.

Transcript
  1. This is HELM by LockedIn Labs, recorded from the reference application on a

    Recorded on /control-plane#network
  2. synthetic sample.

    Recorded on /control-plane#network
  3. Follow a condition from the East edge gateway to the services that depend on it,

    Recorded on /control-plane#network
  4. and inspect each node's evidence.

    Recorded on /control-plane#network
  5. See the estate on one map: five layers of figures, site by site,

    Recorded on /monitor
  6. and an inspector that reads the down circuit, its age,

    Recorded on /monitor
  7. and the path it moved to.

    Recorded on /monitor
  8. Since last Monday: each movement that crossed its line,

    Recorded on /command#dashboard
  9. told in one sentence from two computed values, with its source.

    Recorded on /command#dashboard
  10. Compare queue pressure, the protected floor and a bounded staffing option,

    Recorded on /control-plane#contact
  11. modeled, before a person decides.

    Recorded on /control-plane#contact
  12. Know what every agent can reach: its permitted sources,

    Recorded on /control-plane#agents
  13. its permitted collaborators, and the work recorded against it.

    Recorded on /control-plane#agents
  14. When something breaks, triage proposes and a person approves.

    Recorded on /response
  15. Each audit entry is written before the change it records, and sealed.

    Recorded on /response
  16. Take the guided tour, no account needed.

    Recorded on /response
Network intelligence

Follow the dependency.

Trace an infrastructure condition to the services that depend on it, then inspect the source evidence.

Open this view, read-only
Explore the operating systemChoose a chapter

Systems represented in the reference estateConnections vary by source and deployment.

Intelligence with a bearing

From a change in signal
to a controlled next step.

Explore existing workflows in the read-only reference application.
  1. Understand the change

    What changed? Why did it change?

    Follow correlated incident signals, recorded changes and evidence-backed hypotheses.

    Inspect incident response
  2. Trace the impact

    What is affected? What is the impact?

    Explore system dependencies, service objectives and the operating context behind an incident.

    Explore the estate
  3. Choose the next move

    What does AI recommend? What should happen next?

    Inspect contextual analysis and proposed work, with evidence, source gaps and authority visible.

    Open the operations assistant
  4. Keep control

    Can the system resolve it? What requires human intervention?

    Review typed automation plans, required approvals, rollback and verification before any consequential action.

    Review governed operations

Enterprise intelligence

See the pressure.
Know what supports the decision.

Claims, member service, technology and AI belong in one operating picture. HELM connects the question to a defined answer, its source and the next investigation.

Which queues reported overdue work—and what needs a closer look?

Start with exact inventory and supplied deadline buckets. An optional Astra review suggests investigation priorities, with its interpretation kept separate from cited snapshot facts.

Explore Claims deadline watch
What makes the answer inspectable
Enterprise Intelligence on the Claims deadlines view: the heading Claims deadline watch, a Sample feed notice naming Splunk and stating synthetic Meridian Health data, and a Read latest snapshot control. No snapshot has been read yet.Enterprise Intelligence on the Claims deadlines view: the heading Claims deadline watch, a Sample feed notice naming Splunk and stating synthetic Meridian Health data, and a Read latest snapshot control. No snapshot has been read yet.
Recorded view · synthetic dataOpen the claims deadline watch
  • Approved queue roster · complete aggregate snapshot
  • Overdue, upcoming and missing deadlines · exact counts
  • Astra review · explicit generation and processing approval

Implemented reader and review · customer activation required

Bring the evidence
to the next decision.

Connect IT and business operations in one review. HELM brings service dependencies, source evidence and proposed work into a shared operating loop, with a named owner for the next decision.

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The loop

Signals become incidents with a cause and a blast radius, proposals wait for a person under a kill switch, the record is sealed, and the postmortem is drafted from it.

1:02 · recorded from the reference application · synthetic sample workspace · Recorded from HELM by LockedIn Labs.

Transcript
  1. 190 sample signals, correlated into 20 incidents. The critical one still open is

    Recorded on /response
  2. the payments database.

    Recorded on /response
  3. Before deciding, inspect the 12 of 12 signal details included for the next AI

    Recorded on /response
  4. review, alongside observation age and received recovery events.

    Recorded on /response
  5. The probable cause is a hypothesis, shown with its evidence:

    Recorded on /response
  6. a schema migration applied forty minutes before the connection pool saturated.

    Recorded on /response
  7. The blast radius shows what depends on it.

    Recorded on /response
  8. Triage proposes runbook steps — rule-based, proposals only.

    Recorded on /response
  9. A sample responder approved the rollback and wrote why.

    Recorded on /response
  10. No write adapter is connected here, and the screen says so.

    Recorded on /response
  11. When engaged, the kill switch holds runbook steps. Signals still arrive.

    Recorded on /response
  12. Each audit entry is written before the change it records, and sealed.

    Recorded on /response
  13. Press Draft the postmortem: it is composed from that record.

    Recorded on /response

Say what the estate needs.
See the plan.

Natural-language requests become inspectable plans for registered infrastructure targets. Review the proposed steps, dependencies, required checks and human approvals before any separately authorized execution.

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Words in, plan out

A plain sentence is compiled into a typed plan with its missing inputs, roles, authorities, rollback and verification stated, and the one step that would change anything is not the planner's to perform.

0:50 · recorded from the reference application · synthetic Meridian Health sample · Recorded from HELM by LockedIn Labs.

Transcript
  1. Beside every view, a planner takes plain language.

    Recorded on /operations
  2. Stand up two more application servers.

    Recorded on /operations
  3. The planner compiles it into one typed operation.

    Recorded on /operations
  4. What it cannot infer is listed: 3 inputs still need an operator decision.

    Recorded on /operations
  5. Then 6 typed steps, each naming a specialist role and its authority.

    Recorded on /operations
  6. A person must approve, and the planner cannot perform the step that

    Recorded on /operations
  7. changes anything.

    Recorded on /operations
  8. Rollback and verification are stated up front, and no effect has been issued.

    Recorded on /operations
  9. A signal's mission opens the same planner, its plan already compiled.

    Recorded on /operations
  10. Registered changes are rehearsed separately.

    Recorded on /operations
  11. The rehearsal names when the plan must halt or reverse.

    Recorded on /operations
  12. No approval has been requested.

    Recorded on /operations

Three requests the planner compiles

  • Stand up two more application servers.
  • Shift traffic to the secondary region.
  • Add memory to the VMware cluster.
Open the Operations IDE, read-only

Built around the work
your customers depend on.

01

Healthcare operations, connected.

Trace claims backlogs and service pressure to the systems, people, and decisions behind them. Extend the operating model to enrollment, billing, and payments as their sources are admitted.

Claims · Member service · Technology

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The estate, read

One screen reads the estate: a headline that names what needs attention, the figures under it, a map you can drag and switch by layer, an inspector per site, Claude shown reading a site's facts, the signal funnel, mainframe and contact pressure, and every item that needs attention with its owner role.

0:58 · recorded from the reference application · synthetic Meridian Health sample · Recorded from HELM by LockedIn Labs.

Transcript
  1. The headline names what needs attention, and the stamp marks it a synthetic replay.

    Recorded on /monitor
  2. Six figures sit under it, each with a state word.

    Recorded on /monitor
  3. On the map, drag a site and its links follow.

    Recorded on /monitor
  4. Five layers change what each site shows.

    Recorded on /monitor
  5. Where a layer has no reading, the map says so.

    Recorded on /monitor
  6. Select the recovery site, and its inspector reads the MPLS circuit as down.

    Recorded on /monitor
  7. The replication that used it has been re-routed over SD-WAN.

    Recorded on /monitor
  8. Ask Claude about this site, and it reads that site's own facts.

    Recorded on /monitor
  9. 1.2 million events became 2 incidents: 1.6 per million reached a person.

    Recorded on /monitor
  10. The claims LPAR's four-hour average is 91 percent of its capacity.

    Recorded on /monitor
  11. Service level is 63 percent against a target of 80.

    Recorded on /monitor
  12. Each item that needs attention shows an owner role and a next action.

    Recorded on /monitor
02

One picture. Clear authority.

Bring operations and security context together. Keep specialist response tools, permissions, and escalation ownership explicit.

Operations · Engineering · Security

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Who may change what

One table says who may see and who may change what; viewing as Auditor leaves no effect permission, every check lands in the access record, and the record exports as a hash-linked ledger whose chain verifies.

0:38 · recorded from the reference application · synthetic Meridian Health sample · Recorded from HELM by LockedIn Labs.

Transcript
  1. Seven roles, twenty-four permissions, four separation-of-duties rules.

    Recorded on /access
  2. View the workspace as Auditor.

    Recorded on /access
  3. Effect permissions fall to zero.

    Recorded on /access
  4. A permission marked effect can change something outside the reader's screen;

    Recorded on /access
  5. the Auditor holds none.

    Recorded on /access
  6. A principal never approves an action they proposed.

    Recorded on /access
  7. Audit access changes nothing.

    Recorded on /access
  8. Every role switch and guarded attempt is recorded, in order, refusals included.

    Recorded on /access
  9. Export it as a hash-linked ledger.

    Recorded on /access
  10. Verify recomputes every hash: chain intact.

    Recorded on /access
03

Outcome intelligence

Baseline a consequential workflow. Track the decision, the verified operational effect, and the business value accepted by its owner.

Executives · Business leaders

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Since last Monday

Since last Monday compares the same days a week earlier, each sentence built from two computed values with its source; a dashboard asked for in words is composed from the same definitions, names its source on every panel and lists what cannot be answered; Brief me shows Claude working on an admitted evidence packet and nothing more.

0:39 · recorded from the reference application · synthetic Meridian Health sample · Recorded from HELM by LockedIn Labs.

Transcript
  1. Since last Monday compares the same days a week earlier.

    Recorded on /command#dashboard
  2. Each sentence is composed from two computed values, and names its source.

    Recorded on /command#dashboard
  3. Ask for a dashboard in words: Meridian's cost and margin, last 30 days.

    Recorded on /command#dashboard
  4. The same governed definitions compose the board, and every panel names its source.

    Recorded on /command#dashboard
  5. What the engine cannot answer is listed, not drawn.

    Recorded on /command#dashboard
  6. Press Brief me to request a Claude interpretation of the admitted

    Recorded on /command#dashboard
  7. evidence packet.

    Recorded on /command#dashboard
  8. Any accepted interpretation is for human review; nothing executes.

    Recorded on /command#dashboard

Understand how
the work is governed.

AI for IT operations (AIOps) starts with signals. HELM connects those signals to investigations, workflow design and accountable decisions, so executives and technical teams can inspect the same chain of evidence.

The walkthrough uses synthetic reference data. Workflow previews are local; execution requires separate authorization. Customer outcomes need customer evidence.

Inspect the product evidence

Agentic workflows

Auto-compose a workflow, inspect its typed steps and preview the path. Review who owns the decision, who independently observes it, and the checks required before a workflow can run.

How agentic operations works

An AI control plane

Bring service context, operational objectives and policy into the same decision. Inspect organizational scope, approval requirements and rollback conditions before action.

What an AI control plane governs

Evidence and audit

Follow reference investigations into findings and source gaps. Inspect recorded runs, proposed actions and decision records to distinguish a recommendation from an approved result.

How to audit an AI agent

A point of view.
An operating discipline.

Field notes and research on enterprise AI, service reliability, and the decisions that turn visibility into value.

Sam M. SweilemFounder & CEO, LockedIn Labs

Put intelligence
in command.

Take the guided tour Plan a deployment