---
title: "Approach and platform: how Cybernetica does AI transformation for business"
url: "https://cybernetica.kz/en/blog/11"
description: "A short retelling of our Approach and platform page: the Palantir model, Forward Deployed Engineering and the six layers that turn company data into working AI agents."
---
# Approach and platform: how Cybernetica does AI transformation for business

A short retelling of our Approach and platform page: the Palantir model, Forward Deployed Engineering and the six layers that turn company data into working AI agents.

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            We now have a page that brings our whole approach together in one place: how we do
            AI transformation for business — from process mapping and data to autonomous agents
            in 1C, ERP and day-to-day workflows. Below is a short retelling; the full version lives
            on the [Approach and platform](/en/approach) page.





        ## Why now


            AI is no longer an experiment: companies that redesign their processes first achieve
            30–40% optimization and secure their position for years. Speed has changed too — a task
            is stated in plain language and an agent implements it in days, not months. Data never
            leaves the company perimeter, and the foundation — eight years of our own ETL/DWH
            infrastructure and ready-made 1C connectors — is already in place.





        ## Three principles of the approach



            - **The Palantir model.** Engineers work inside the business, build a unified data model (an ontology) and carry the solution through to a changed process, rather than stopping at an attractive dashboard.

            - **FDE — an engineer on your side.** A Forward Deployed Engineer listens to the process, formalizes the task as a specification and uses agentic development to deliver results in days. The agent writes the code.

            - **Business as a Service.** You receive your own operating model instead of a collection of disconnected subscriptions: any employee can build automation in plain language, without code.






        ## The six layers of the platform

        The products form one pipeline — you can start from any layer:



            - **A. See** — business map, Process Explorer and process costing: where information moves and where time and money are lost.

            - **B. Data and integration** — 1C/ERP implementation, data buses and MDM, Data as a Service (ETL/DWH): connect systems and put data in order.

            - **C. Plan** — BI / CPM / IBP: budgets, plans and management reporting on your data.

            - **D. Interfaces and access** — BAIqe and Business in your pocket: how employees and customers work with data, including by voice.

            - **E. Act** — agentic automation, agents in the organization and digital employees by subscription: AI does the work itself.

            - **F. Adopt** — AI Enablement: a fast start with a tangible effect in days and an entry into deep transformation.






        ## Proven in our own business


            We applied the model to our own company: project analytics, cost recalculation and downtime
            monitoring with management notifications — 3 days for complete automation, 0 lines of code
            written manually and a multiple increase in productivity.





        ## Learn more

        The page itself covers every product in each layer, the details of the approach and booking a diagnostic:

        *

## Access for AI agents (MCP)

**Cybernetica MCP server:** `https://mcp.cybernetica.kz/mcp`

Connect this endpoint as an MCP connector in Claude, ChatGPT, Cursor, or another Model Context Protocol client for direct structured access to all company data — the product catalog, client cases, pricing, blog posts, and vacancies — with full-text search and no HTML parsing. Access is public, read-only, and requires no authentication.

The Markdown language is selected by the page URL: Russian has no prefix, Kazakh uses `/kk`, and English uses `/en`. Send `Accept: text/markdown` to that URL or pass its path to `/api/agent-markdown?pathname=...`. The public REST API accepts `?locale=ru|kk|en`; Russian is the default. The MCP server tools take the same optional `locale` argument: if a record has no translation into the requested language, it comes back in Russian with a note saying so.

### Other resources for agents
- [API catalog](https://cybernetica.kz/.well-known/api-catalog)
- [OpenAPI](https://cybernetica.kz/api/openapi.json)
- [LLMs.txt](https://cybernetica.kz/llms.txt)