When do you need enterprise AI?
When employees spend time searching for information, preparing reports, analyzing documents, processing applications, tenders, contracts or internal regulations. Enterprise AI is useful where there is repeatable intelligence and an accumulated knowledge base.
What we design
RAG document search, AI assistants for departments, agent scenarios, integration with 1C/SAP/CRM/EDS, internal knowledge base, AI assistants for finance, contracts, tenders, service desk, development and information security.
Product map of AI modules
RESTART AI Enterprise Platform can be developed as a set of application modules on top of a common core: Knowledge AI, Service Desk AI, CFO AI, Contract / Procurement AI, Tender & Sales AI, Dev AI, Security / GRC AI, HR AI and industry-specific Industry AI Packs.
This approach eliminates the need to create every AI scenario from scratch. Users, roles, data sources, prompts, models, logs, auditing, integrations and security rules remain common, and each new module is connected to an already managed loop.
AI infrastructure and GPU power
The AI pilot quickly comes up against not only prompts and the interface, but also the computational environment: where documents are located, how vector search works, who has access to logs, which GPUs are needed for embeddings, reranking or local models, how dev/test/prod are divided and who is responsible for operations.
Therefore, the RESTART AI direction is complemented by the service AI infrastructure and computing power. We can deliver the platform, implementation and computing resources in a single loop: from pilot to production.
AI for Good: Spina Bifida
The RESTART AI practice is used not only in corporate settings. Socially significant projects on the topic of Spina Bifida show how computer vision, RAG, secure data processing and a human-in-the-loop approach can help doctors, families, foundations and expert communities.
In such projects, the correct role of AI is an additional tool under the supervision of a specialist: it helps to pay attention to possible signs, structure information and quickly find proven materials, but does not replace a medical decision.
Public AI products on the platform
RESTART AI Enterprise Platform is used not only as a corporate platform for enterprise modules. On its basis, RESTART develops application products where AI is combined with data, integrations, security and the human scenario.
1trAIner shows the SportTech environment: devices, training, plans, Telegram/MAX, n8n, PostgreSQL and the athlete’s personal account. Spina Bifida projects show the social AI/MedTech environment: computer vision, RAG, human-in-the-loop and careful work with sensitive topics.
CleverHub and applied AI assistants
For tasks where the client needs not only a platform outline, but also ready-made application products, the group uses the CleverHub line: VoiceHelp for voice requests, Meeting Hub for meeting minutes, Document AI for document processing and Ragify for RAG search for corporate knowledge.
Architectural approach
We start with data sources, access rights and business process. Then we design the indexing layer, model layer, workflow, interfaces and audit loop. This approach reduces the risk of leaks, chaos in prompts, and opaque AI solutions.
Security and control
The AI environment must take into account roles, access matrices, logging, versioning of prompts, human verification, a ban on sending sensitive data to external services without an agreed upon architecture, and the possibility of on-prem/private cloud hosting.
Business result
Information is found faster, manual preparation of documents and responses is reduced, dependence on individual experts is reduced, and transparent automation scenarios appear that can be developed in modules.
First step
The optimal start is AI-discovery or a pilot on one process: knowledge base, contracts, tenders, service desk, finance or internal executive assistant.
Result Artifacts
- map of the current environment, systems, data and process owners;
- description of the target architecture and integrations;
- priorities, risks and a realistic roadmap;
- team composition, roles, management format and acceptance criteria;
- plan for industrial operation and development after launch.
Frequently asked questions
Where does the work begin?
From diagnostics of the current environment, goals, limitations, systems, data and customer team.
Is it possible to start without a big project?
Yes. For most areas, a quick survey, architectural session, or pilot is a reasonable first step.
What remains for the customer after the stage?
Architectural diagram, list of risks, roadmap, implementation requirements and clear composition of the next stage.
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.
