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AI Solutions

AI without hype. Where it actually saves.

We are not an AI-first company. We are engineers who apply AI where it really works: agentic helpers for staff, AI-search over documents and bases, AI analytics on top of existing data. With built-in guardrails and quality control.

Position

AI grows out of the business problem

Not the other way around. First we look at which part of the process is overloaded with intelligent routine and accessible to current AI capabilities, then we design — discovery, prototype, production. No "let's deploy AI and figure out what to do with it".

Three levels

How we deploy AI

  1. Level 1

    AI Discovery

    Finding where AI fits. 5–10 key processes are evaluated on two axes: where intelligent routine sits and where current AI capabilities apply. A map of integration points split into quick wins and strategic initiatives.

  2. Level 2

    AI Agents & Workflows

    Helpers for staff and agentic loops. Knowledge agents, primary-document processing agents. All agents come with guardrails: role limits, audit trail, fallback logic.

  3. Level 3

    AI Integration

    AI becomes part of the business system. AI-search across documents and bases (RAG), AI analytics on top of 1C, local inference for sensitive contexts. MCP servers, embeddings, retrieval.

Quality control

AI without hallucinations or leaks

Local inference where needed

Sensitive data stays inside your infrastructure. We use local models and self-hosted inference services.

Data control

Clear separation: which data can go to external models, which cannot. Decided at discovery, not "later".

Audit trail

Every AI decision is logged with inputs and outputs. Enables debugging and is required by compliance.

Fallback logic

If AI is uncertain or service is unavailable — system switches to manual mode, not an error. Degradation graph is part of discovery.

Expectations

What AI does and does not do

What AI does

  • Speeds up primary document entry by 30–50% with a properly configured pipeline.
  • Reduces information lookup time across large knowledge bases from minutes to seconds.
  • Automates classification and routing where rules are many and staff are few.

What AI does not

  • Does not replace staff.
  • Does not work "out of the box" without discovery.
  • Does not justify itself on small volumes.
  • Does not solve problems that were not clearly stated before deployment.

Book a discovery call

If you have a mature operational core and you're wondering where AI could work — the best first step is a discovery call.

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