RESTART corporate AI platform for large organizations: a single AI management core, protected agents, RAG, access rights, logs, integrations, audit and 10 enterprise modules for business units.
RESTART AI Enterprise Platform is needed where AI can no longer be launched as a set of disparate experiments. In a large company, each AI scenario must know its data sources, user roles, access restrictions, logging rules, information security requirements and process owner.
The platform collects this into a manageable loop: AI agents, RAGs, models, prompts, integrations, auditing, request costs and application modules do not work separately from each other, but on top of a common core.
AI scenarios evolve through unified roles, sources, logs, policies, and quality control.
Each new module is connected to an already created platform, rather than being built from scratch.
Access rights, auditing, source restrictions, placement and work with personal data are taken into account at the architectural level.
The platform communicates with ERP, 1C, SAP, BI, DWH, EDMS, Service Desk, GitLab, Jira, portals and knowledge bases.
Users, roles, access rights, logs, auditing, model layer, prompts, limits and request costs.
RAG, document loaders, vector indexes, source citation, corporate knowledge base search.
AI agent builder, action scenarios, human verification, business rules and secure automation.
Connectors to 1C, SAP, ERP, CRM, EDMS, BI, DWH, Service Desk, GitLab, Jira, Confluence and internal API.
RESTART AI Enterprise Platform can be supplied with the RESTART managed AI infrastructure: production/test/dev environments, GPU resources, storage, backup, monitoring and technical support. This allows you to quickly move from pilot to production operation without searching for separate contractors for servers, DevOps and information security.
For the customer, this is a comprehensive offer: platform, computing power, setting up AI agents, downloading a knowledge base, integration with systems, information security requirements and further support.
The platform is confirmed not only by the description of the architecture. On its basis, RESTART is developing applied AI products: 1trAIner for sports and wellness, Spina Bifida Check to support early attention to possible signs on ultrasound, and the RAG foundation assistant with a proven knowledge base.
These projects are different in subject area, but the same in engineering principle: AI works within a controlled process, uses data and sources, has restrictions, logging, roles, integrations and clear human responsibilities.
RESTART AI Enterprise Platform can be the platform core for a broader product line. At the level of application scenarios, the group is developing CleverHub: a voice assistant, meeting minutes, document processing and a RAG assistant. These products can be displayed as an independent showcase or associated with the RESTART enterprise architecture.
Each module can be supplied as an independent platform extension or as part of a comprehensive enterprise package. The logic of the platform is that the core does not change, and application scripts are connected to the general rules of security, integration and operation.
A unified environment for enterprise AI agents, models, RAGs, access rights, logs, integrations and auditing.
Agent designer, admin console, role management, logging, auditing, managing models and request costs.Search and answers for corporate documents, regulations, contracts, project documentation and knowledge base.
RAG platform, document loaders, vector storage, source citation, ACLs and permissions.Reducing the workload of the first line of IT, HR and financial support, classifying requests and prompting operators.
Telegram, web, portal, mail, integration with Jira, Naumen, ServiceNow, 1C ITIL and support knowledge base.Plan-fact, management reporting, explanation of deviations, cash-flow, receivables and budget comments.
Financial AI module for 1C:ERP, 1C:UH, SAP, BI, DWH, management and financial reporting.Analysis of contracts, procurement documentation, RFP/RFI, essential conditions, risks and deadlines.
OCR, comparison of versions, extraction of conditions, risk checklist, integration with EDMS, Diadoc and Kontur.Procurement search, relevance scoring, proposal preparation, technical specifications compliance matrix and case selection.
Module for monitoring tenders and preparing sales based on current developments RESTART.Protected AI assistance to developers in a closed loop: code, tests, reviews, documentation and legacy systems.
Integration with GitLab, Jira, Confluence, code search, test generation, review assistant and documentation.AI risk control, GRC, SOC Copilot, Federal Law No. 152-FZ/FSTEC checklists and incident analysis.
SOC/GRC Copilot, incident analysis, information security policies, Federal Law No. 152-FZ audit, reports and compliance checklists.Selection, adaptation, certification, competency base, training and internal HR bot.
HR Copilot, competency profiles, screening, development plans, knowledge base and internal employee bot.Industry-specific AI modules for industry: MRO, shift magazines, HSE, metrology, production and quality.
A set of industry agents on top of the platform, ERP/EAM/MES/ACS TP connectors and industry templates.The architecture is selected according to the customer’s requirements: private cloud, on-prem or hybrid model.
The answers are based on the allowed data; Users shouldn't see anything they don't have access to.
Actions, requests, responses, sources, prompt versions and control events are recorded.
For mission-critical processes, human inspection, quality metrics and gradual commissioning are used.
We select a task where there is repeatable intellectual work: documents, applications, contracts, tenders, finance, development or information security.
We determine sources, data quality, owners, restrictions, personal data, trade secrets and placement requirements.
We describe the core, integrations, roles, agent scenarios, quality metrics and acceptance criteria.
After the pilot, we record the result, finalize the platform core and connect the following modules.
2-4 weeks: goals, processes, data, risks, architecture and first module.
6-10 weeks: platform core, RAG, roles, logs, integrations and the first working script.
Commissioning into limited operation, quality metrics, human review, user training.
Connection of new modules, sources, departments and operating regulations.
The platform is based on several RESTART practices: AI architecture, information security, ERP/1C/SAP, Data/BI/DWH, custom development, DevOps/DevSecOps and dedicated engineering teams. Therefore, an AI project is considered not as the implementation of a separate tool, but as a change in the corporate IT environment.
The RESTART AI Enterprise Platform can be used alongside industrial R&D projects where managed data sources, roles, logs, RAGs for engineering materials, document analysis, operator prompts, and AI connectivity with enterprise systems are needed. In projects like ASB-27, the AI loop does not replace engineering assessment, but helps to work with data, documentation, statuses, reporting and knowledge.
Yes. Each module can be an independent extension of the platform. But even the first module is better designed so that it does not become an isolated experiment.
No. It is usually better to start with one process, prove the effect, configure the core and then scale the platform to new units.
At the discovery stage, data sources, access rights, personal data, logs, placement and human verification scenarios for critical processes are recorded.
For enterprise AI, not only models are important, but also correct data sources. 1C, Bitrix, ERP, document flow, portals and personal accounts often contain key data for AI assistants: contracts, applications, statuses, financial indicators, documents, directories, client requests and regulations. Therefore, RESTART AI Enterprise Platform is designed taking into account ERP integrations, roles, access rights and information security requirements.
Describe the task, current systems, constraints, and expected results. We will offer a practical first step: diagnostics, pilot, audit, roadmap or project team.
