AI Assistant Development for Business for Your Processes and Data

We develop AI assistants for company processes: documents, CRM, ERP, reports, employee support, and security.

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Our clients

Capital Group
FSK Group
SMLT
Tochno
Dogma
Sber City
FM Logistic
Danone
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We develop AI assistants for company needs: document handling, employee support, CRM and ERP operations, reports, and analytics. The assistant is trained on your data, fits into your workflows, and follows the regulations and security requirements of mid-sized and large businesses. Your data, your processes, your integrations, and a controlled result

Works strictly in the context of your company

We connect your procedures, policies, products, instructions, and knowledge bases to the assistant. It responds in your terminology, follows your rules, and does not generate unrealistic answers.

Deep integrations with CRM, ERP, and document management

The assistant does not live outside your processes. It fills forms, creates tasks, generates documents, receives statuses, gathers data for reports, and works via API with key systems.

Custom scenarios for departments and roles

Different teams get their own assistant on a shared core: for sales, support, finance, HR, legal, and IT. Scenarios are configured for real operations, not abstract out-of-the-box examples.

Security, quality control, and scalability

Role model, logs, response control, data restrictions, and deployment options within your company perimeter or in a secure cloud. The assistant evolves along a clear roadmap with your business.

Assess where AI can deliver impact in your process

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Efficiency and growth in one solution

  1. We develop an enterprise AI assistant for your environment: we connect internal systems, documents, and knowledge bases, and configure roles and scenarios. The assistant helps employees find information, prepare documents, work with systems, and speed up routine tasks without modifying dozens of interfaces. The solution includes:

  2. Process analysis, scenario selection, and ROI calculation.

  3. Design of the assistant architecture and API integrations with systems.

  4. Training on company documents, procedures, products, and knowledge base. Business outcome:

  5. Reduced manual workload for back office, support, and operations teams.

  6. Faster handling of internal and customer requests.

  7. A managed AI assistant built into corporate processes and security. Solutions without unnecessary complexity, from idea and analysis to results

We will study your processes and propose a ready-to-use implementation plan

  1. We consult We discuss goals and tasks, define priorities, and set expected outcomes for the joint work

  2. We analyze your processes We study current processes and approaches, identify growth points, and determine which solution will deliver tangible results

  3. We plan the solution rollout We discuss goals and tasks, define priorities, and set expected outcomes for the joint work

  4. Launch and support We implement the solution, train your team and provide support so the solution delivers tangible value

Measurable impact from the first set of scenarios

With the right scenarios, an AI assistant pays off through time savings and fewer operational errors. 40% of back office tasks automated 60% faster preparation of documents, letters, and reports 30% lower load on internal services and support 3 months approximate pilot payback period Customer reviews

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