IAS Troubleshooter
What’s wrong?
Source-grounded equipment troubleshooting using approved manuals, site documentation, and controlled local AI.
- Primary users
- Technicians · Mechanics and electricians
- Availability
- Available for Customer Implementation
AI systems for industrial and critical operations
Industrial intelligence starts with the right question.
IAS provides local, controlled AI systems for industrial and critical operations—designed around the equipment, knowledge, assets, and decisions organizations depend on every day.
Local DeploymentPrivate NetworksControlled AI
One platform. Five specialized systems.
A different operational question calls for a different system.
IAS is one industrial intelligence platform. Each product has a focused role, a distinct workflow, and a shared commitment to controlled deployment, visible evidence, and human authority.
IAS systems are available through controlled deployment, phased integration, or scoped implementation matched to the product and customer environment.
Industrial AI without compromise
You own your data.
You control your deployment.
You decide where AI runs.
That’s IAS.
- Your documentation stays yours.
- Your data stays under your control.
- No token-based usage charges.
- Deploy on customer-selected infrastructure.
- Operate on private or isolated networks.
- Build answers around approved evidence—not guesses.
What IAS is
Controlled AI for equipment, knowledge, operations, downtime, and assets.
IAS builds focused applications around the information and operating questions an organization already has. Systems may use approved documents, interviews, events, operational signals, maintenance history, or asset records—inside customer-defined infrastructure and permissions.
Why IAS exists
- Documentation is fragmented across files, portals, and binders.
- Experienced workers hold knowledge that has never been captured.
- Operational data lives in separate systems and reports.
- Downtime investigations vary by site, team, and evidence quality.
- Asset identity, condition, history, and documents are disconnected.
- Public AI may be unsuitable for restricted or controlled environments.
IAS Knowledge Preservation
Who knows?
Capture, preserve, review, and retrieve workforce expertise through structured interview campaigns.
- Primary users
- Experienced employees · Supervisors
- Availability
- Available for Customer Implementation
IAS OIE Dashboard
What’s happening?
The Operational & Executive Intelligence Dashboard creates a central view across production, downtime, maintenance, facilities, safety, inventory, labor, IT, HR, procurement, and other approved company signals.
- Primary users
- Site managers · Operations leaders
- Availability
- Available for Customer Implementation
IAS Downtime Intelligence Engine
Why did it happen?
Analyze downtime events, timelines, evidence, contributing factors, and recurring causes.
- Primary users
- Reliability engineers · Operations analysts
- Availability
- Available for Customer Implementation
IAS Asset Management System
What do we own and what’s its condition?
Manage equipment identity, condition, maintenance, documentation, history, and lifecycle decisions.
- Primary users
- Asset managers · Maintenance planners
- Availability
- Available through IAS and SJ Software
Why companies choose IAS
AI becomes part of your infrastructure—not another uncontrolled dependency.
Your data stays yours
IAS works with customer information inside the environment and permissions you establish.
Deploy where you choose
Use an onsite appliance, customer server, private VM, isolated network, or an optional external service.
No token-based usage charges
Your team can use a deployed local IAS system without paying more for every question, response, or document interaction.
No internet dependency
Offline-capable configurations can support remote and restricted environments when required services and data are available locally.
No public AI required
Proprietary documentation does not have to be submitted to a public AI service.
Evidence before answers
Products retain sources, timestamps, ownership, review status, and uncertainty when those details matter.
Your people stay in control
IAS supports technicians, engineers, managers, and subject-matter experts; it does not remove their authority.
Built for operating conditions
Purpose-built workflows address equipment, knowledge, signals, downtime, and asset records—not generic chat alone.
Local AI compared with cloud-first AI
Choose the operating model that fits the environment.
General cloud AI remains useful. IAS serves operations where predictable usage, local access, and company information matter more than a general-purpose public service.
| Operating consideration | Typical cloud-first AI | IAS local-first approach |
|---|---|---|
| Billing model | Usage or token consumption charges are common | No token-based usage charges |
| Connectivity | Internet service is generally required | Offline-capable deployment options |
| Data boundary | Information is transmitted to the selected external service | The customer selects where data and processing reside |
| Operating context | General-purpose model and user-provided context | Manuals, site records, roles, assets, and operational information |
| Deployment | Provider-hosted service | Onsite, customer-hosted, private-network, split-node, or optional external service |
| Evidence | Depends on the service and supplied material | Visible sources and review history appropriate to the workflow |
Your team can use a deployed local IAS system without paying more for every question, response, or document interaction. Implementation, infrastructure, hardware, integration, support, and optional service costs are defined in the customer agreement. Third-party usage charges apply only when the customer specifically chooses services that carry those charges.
Why not just use ChatGPT?
General AI was not built around your operating environment.
- It does not inherently know your equipment or approved manuals.
- It does not automatically understand your facility, permissions, or asset hierarchy.
- Public services may not fit offline or restricted-network requirements.
- Usage-based services can add consumption costs as adoption grows.
- Generic chat does not provide the five IAS operational workflows by itself.
IAS is not trying to replace general AI. It is designed to solve operational problems that general AI was not built to solve.
How IAS works
Customer information stays inside customer-defined boundaries.
See the operating model →- 01Ingest approved customer data
- 02Organize it around real operations
- 03Process it with local or controlled AI
- 04Show answers, signals, and sources
- 05Keep people in authority
Control the boundary
Onsite appliances, customer-hosted servers, private networks, and approved controlled-cloud patterns.
Review deployment options →See the evidence
IAS products are designed to preserve source, timestamp, owner, and review context where it matters.
Review the security posture →Keep human authority
Consequential maintenance, safety, production, and workforce decisions remain with authorized people.
Understand the model →How the systems connect
Five views of the same operating environment.
Products can stand alone or share approved context where integration is useful and authorized.
Troubleshooter
What’s wrong?Identifies the immediate equipment issue.
Knowledge Preservation
Who knows?Captures who knows the work and why.
OIE Dashboard
What’s happening?Shows current operating conditions and exceptions.
Downtime Intelligence
Why did it happen?Explains recurring events through evidence.
Asset Management
What do we own and what’s its condition?Maintains the identity, condition, and history record.
Designed for asset-intensive and critical operations
Built from industrial field experience. Designed for critical operations.
IAS was founded from firsthand experience supporting industrial technology, operational infrastructure, and West Virginia coal-field environments. That operating discipline informs systems for facilities, engineering, maintenance, reliability, and leadership teams across critical environments.
About Industrial AI Systems →Mining and mineral processingManufacturingUtilities and energyHealthcare facilitiesTransportation and terminalsData centers and critical infrastructureAggregates and materialsIndustrial maintenance
What the first implementation looks like
Start with one decision, a clear system scope, and information the customer can inspect.
- 01Define the operating question and responsible users
- 02Select documents, records, signals, or interviews
- 03Choose the infrastructure and security requirements
- 04Configure the initial product workflow
- 05Review outputs, sources, limitations, and next steps
Talk with IAS
Choose the operational question your team needs to answer first.
IAS will review the operating need, users, information sources, infrastructure, and a practical starting scope with your team.