Product positioning
Industry AI Pack is needed where universal AI does not sufficiently understand the industry context: shift logs, MRO, HSE, metrology, production deviations, quality, operational regulations, industrial data and access restrictions.
RESTART’s product idea is not to sell “AI in general”, but to deliver industry packages on top of a single platform core. This shortens the path from pilot to useful scenario: there are standard agents, integration templates, industry dictionaries and a process map.
Benefits for the client
Faster to the pilot
No need to start from scratch: scenarios, roles, sources and templates are already described as an industry package.
Link AI to manufacturing
The module does not work separately from processes, but around ERP, EAM, MES, logs, regulations and industrial data.
Reduce operational risks
AI helps look for anomalies, repeatable problems, HSE requirements, repair history and quality documents.
Scale by site
After the first scenario, you can connect new divisions, plants, sources and roles on the same platform core.
Industry Pack Scenarios
MRO and operation
Search by repair history, regulations, applications, failures, instructions and diagnostic recommendations.
Occupational health and safety
Answers on regulations, incidents, checklists, training and safety requirements.
Replaceable magazines
Summarization of events, search for recurring deviations, preparation of shift handover and control of orders.
Production and quality
Analysis of inconsistencies, protocols, parameters, comments, corrective actions and causes of deviations.
Integrations
| environment | Examples of sources |
|---|---|
| ERP / EAM | 1C, SAP, repair accounting, applications, materials, equipment, documents and financial data. |
| MES/production | Production events, shift reports, batches, parameters, deviations, quality. |
| Process control systems and industrial data | Historical data, references, measurements and process context for the agreed loop. |
| Documents and regulations | Instructions, HSE, metrology, equipment data sheets, protocols, standards and knowledge base. |
How we implement it
Discovery
We fix the business process, data sources, user roles, information security restrictions, benefit criteria and the first scenario.
MVP
We launch the working module in a limited loop, connect data, roles, logs, interface and quality control.
Pilot
We test the effect on real users, set up rules, finalize integrations and prepare for operation.
Scale
We expand the module to new units, sources, roles and scenarios without breaking the platform core.
Industry control
Industrial and critical processes require careful boundaries of responsibility. AI helps to search, explain and prepare tips, but does not replace approved technological regulations, responsible specialists and industrial safety requirements.
Data under control
Sources, permissions, logs, and restrictions are fixed at the architecture level rather than added after launch.
Integrations
Modules connect to ERP, 1C, SAP, DWH, EDMS, Service Desk, GitLab, Jira, Confluence, portals and internal APIs.
Verifiability
Answers and actions should be explainable: sources, versions, logs, processing statuses and the responsible owner of the process.
Scaling
Each of the following scenarios uses the platform core: roles, models, RAGs, logs, connectors, and security rules.
Infrastructure for industry AI packages
Industry AI scenarios for industry, energy, metrology, telecom or public sector require different loads, sources and restrictions. AI Compute allows you to assemble a manageable environment for a specific industry and scale it by roles, sites and modules.
Frequently asked questions
Can I start with one workshop or site?
Yes. Typically, a pilot is limited to a single process, site, data type, and user group.
Do you need to connect the automated process control system right away?
Not necessarily. They often start with documents, logs, EAM/ERP and historical data, and the industrial environment is connected using a separate architecture.
Can we make an industry package to suit our specific needs?
Yes. The package is adapted to the industry, terminology, sources, regulations and customer roles.
Enterprise product packaging
Industry AI Pack is delivered as a RESTART AI Enterprise Platform module: with a clear area of responsibility, business process owner, data model, integrations, roles, logs, pilot criteria and industrial launch plan. This is important for CIOs and CISOs: the module does not live separately from the corporate architecture, but is integrated into the IT landscape, security, operations and change management.
Business effect
Success criteria are formulated before the pilot: time, quality, reduction of manual workload, speed of response, completeness of data or controllability of the process.
Integrations
The module connects to customer systems: ERP, 1C, SAP, BI, DWH, EDMS, Service Desk, Git, portal, mail, documents and internal APIs.
Information security and compliance
The separation of roles, sources, loops, logs, and data is considered at the architectural level rather than added after launch.
Scaling
After the first successful scenario, the module can be expanded to new departments, documents, processes, users and regions.
How to show value per pilot
Select one process
Don’t try to automate everything at once: choose a process with an understandable pain, an owner and a measurable result.
Connect data
Collect a limited but real set of documents, applications, reports, code, regulations or historical requests.
Check with users
Conduct a pilot on working scenarios, collect feedback, adjust the quality of answers and control of controversial cases.
Design an production environment
Fix the architecture, roles, regulations, SLA, monitoring, support and development roadmap.
Let's discuss your environment
Describe the task, current systems, constraints, and expected results. We will offer a practical first step: diagnostics, pilot, audit, roadmap or project team.
