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Comprehensive turnkey AI implementation into enterprise business processes

We transform data into profit. From audit and strategy development to the integration of ready-made AI solutions with guaranteed KPI growth
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Why does business lose money without automation?

Companies that do not know how to work with artificial intelligence will die out. Implementing artificial intelligence today already makes it possible to reduce operating costs

  • Lack of data analytics

    If you do not have proper analytics, you make decisions blindly and lose money on ineffective actions

  • Lack of automation for routine operations

    If you do not have automation, you spend more time and resources on routine operations and scale more slowly

  • Lack of artificial intelligence

    If you do not have artificial intelligence, you work the old way, lose growth opportunities, and miss chances to optimize your own expenses

Implementation of artificial intelligence technologies

We select a technology stack for specific tasks so that AI implementation in your business delivers the best possible result

  • Large language models (LLMs)

    Help analyze documents, prepare responses to clients, process requests, search for data in internal knowledge bases, and create drafts of letters and reports

  • Predictive analytics

    Used to assess demand, plan sales and inventory, reduce customer churn, identify risks, optimize marketing, and improve operational efficiency

AI implementation scenarios in company processes

Every industry, department, and company process is unique, so we adapt AI solutions for manufacturing, retail, fintech, and HR to fit your business

  • Accounting

    Recognition of document sets, verification of correct completion by the counterparty, comparison of item lists with prices and positions, and cross-checking

  • Records management and archiving

    Distribution of incoming documents by type, completion of registration cards, identification of responsible executors, creation of resolution drafts for each document, long-term storage, and compliance with regulatory requirements

  • Contract management

    Checking for mandatory details, reviewing contract terms for risks, and monitoring compliance with regulatory legal acts

Stages of AI implementation in an enterprise:
from start to scaling

There is a minimum sequence of AI implementation steps that determines whether a business will be able to benefit from technologies that others have been using for a long time
Company Process Assessment
Assessment of the enterprise’s technological readiness and infrastructure, as well as the organizational maturity of processes, data, and employees
AI Implementation Plan Development
Identification of priority areas: production, sales, contract management. Preparation of AI implementation recommendations and roadmap development
Integration into the IT Landscape
Combining key sources into a single corporate environment: advertising, website, CRM, cash register, inquiries, repeat sales
Active AI Implementation into Work Processes
Training models on data collected from all company sources. Integrating AI into planned business processes and employees’ daily work
Scaling AI to Other Processes
Identifying the company’s remaining processes and integrating artificial intelligence into them to achieve the greatest effect for your business
The power of modern neural networks in your hands
Anarta runs on the most advanced artificial intelligence models. Each assistant is trained deeply and precisely to deliver results worth your attention. Your data is protected according to corporate security standards
  • Latest neural networks
    Up-to-date models for the best results
  • Data protection
    Your information always remains confidential
  • Instant generation speed
    Results appear faster than you expect
  • Full russian language support
    Communicate with AI in your native language without limitations
Questions
Answers to the main questions about AI implementation
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