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Targeted AI integration
into your business
Speed up your company’s operations by 40% through the integration of ready-made AI solutions into business processes or custom development tailored to your infrastructure
Which business processes do we integrate AI into?
Several areas where artificial intelligence delivers results — from customer service to quality control in production
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Document workflow
The main effect is achieved by reducing manual work and accelerating the processing of invoices, acts, questionnaires, applications, standard contracts, and other recurring documents. AI can automatically recognize content, extract the required attributes, check data accuracy, and route the document further. This reduces the number of errors and increases operational transparency -
Expert review and analytics
Instead of manually searching through folders, files, and records across different systems, an employee can ask a question in natural language and immediately receive a concise, meaningful answer based on the relevant files. This approach reduces the time spent searching for information, lowers the workload on company experts, and makes corporate knowledge more accessible and useful for all employees -
Contract management
AI quickly finds key terms in contracts, identifies deviations from standard wording, compares document versions, highlights risks, and helps check compliance with internal policies and requirements. This allows companies to speed up legal review, reduce the likelihood of missing important details, and make work with important documents more systematic and manageable -
Customer service
Based on internal documents, rules, instructions, and the history of previous cases and templates, AI helps employees process customer requests. This eliminates the need to manually search for information across different systems, improves service consistency, reduces errors, and makes customer support teams more efficient and transparent
Suggest your business process, and we will evaluate the possibility of integrating our AI-powered solutions into it
Implemented projects
for integrating AI-powered solutions
for integrating AI-powered solutions
We do not simply implement technologies — we solve specific business tasks. Behind each of our projects are cost optimization and routine automation. See how our AI solutions are already working
Problem: Managers find it difficult to handle a large flow of requests effectively and remember details across a portfolio of thousands of properties
Solution: Implementation of an AI agent integrated with the CRM for initial consultation, property selection, answering questions, and virtual customer support
Result: Employee workload reduced by 35%
Solution: Implementation of an AI agent integrated with the CRM for initial consultation, property selection, answering questions, and virtual customer support
Result: Employee workload reduced by 35%
Problem: Employees find it difficult to quickly locate the necessary information, comply with regulatory requirements, and account for all details when preparing for audits.
Solution: Implementation of ECM for managing unstructured information and long-term storage. Integration with key data sources and connection of an AI agent.
Result: Optimization of business processes and a 40% reduction in execution time
Solution: Implementation of ECM for managing unstructured information and long-term storage. Integration with key data sources and connection of an AI agent.
Result: Optimization of business processes and a 40% reduction in execution time
Problem: Marketing department employees spent a lot of time preparing materials based on technical documents.
Solution: Implementation of AI integrated with the design system for content generation.
Result: Time spent preparing materials reduced by 30%
Solution: Implementation of AI integrated with the design system for content generation.
Result: Time spent preparing materials reduced by 30%
Stages of integrating AI-powered solutions
We ensure the seamless implementation of AI technologies into your business processes: from the initial data audit to the launch of a self-learning system. Our approach minimizes risks and guarantees measurable results
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Data consolidation
At this stage, we combine all key data sources: CRM, EDMS, and archives, so the full customer journey can be seen. Combining databases, documents, scans, files, and materials from different systems creates a unified data structure. For the company, this means creating a single stable data environment ready for BI reporting and further AI implementation01 -
Process digitization
If deals are managed in spreadsheets, correspondence, and employees’ memory, while most documents remain on paper, then implementing new technologies is unlikely to deliver real value and may only lead to wasted company resources.
That is why, where necessary, we do not just offer a tool — we provide our own modules adapted to Russian requirements and standards. Data discipline, structure, and unified formats are the foundation of our approach.02 -
Implementing AI into company operations
When a company has a mature data infrastructure, unified data management regulations are in place, and sources are integrated into a single corporate knowledge base, a real opportunity appears to implement AI as a decision-making system. Otherwise, it will either make unfounded decisions or constantly require human intervention, which completely devalues the business investment03
Choose the right solution
The most suitable option for AI integration is determined based on your requirements for confidentiality, performance, budget, and internal business regulations
Frequently asked questions
From 2 to 6 months for full implementation. The main factor is not the neural network itself, but the readiness of processes, data, and employees for change. If the data has already been collected, the first results can be achieved quickly. If integrations with CRM, ERP, documents, and restructuring of the team’s workflow are required, the timeline increases significantly
No, a separate data science team is not required to support our solution. We implement it as a ready-made AI tool. Support is usually limited to configuration, integration, and business logic control. For the client, this means faster implementation, lower support costs, and no need to maintain additional specialists
No. With an on-premise deployment, data is not transferred to public networks and is processed within your secure environment. If a cloud option is selected, data storage and processing are organized in accordance with information security requirements, including access control, encryption, and compliance with corporate policies.
