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02 / AI platforms

RootOS — The AI brain that connects a company's data, people and agents

One intelligent layer over every department — it watches the processes, spots problems early and coordinates AI agents under human control.

Year
2026
Scope
AI platforms
Timeline
3 months
The RootOS logo — a green R mark on a dark background

01 / Overview

RootOS is the central, AI-driven brain of a company. It brings the company's software, data, people and AI agents together into one intelligent management and orchestration layer — the core that AgentOS and MeetOS build on.

02 / The problem

Company data sits in separate programs that only store records: nobody sees the whole picture, overloaded people and delays surface too late, and management decides on reports that are already out of date. Where automation exists, it runs without a clear owner or audit trail.

03 / Our approach

RootOS gathers the data of every department in one place and follows business processes in real time. On top of that layer, AI agents receive tasks automatically and are coordinated centrally, while permissions, approval steps and an audit log keep every automated action under human control.

04 / The result

RootOS is live: five international companies and more than 500 active users work with it. It pulls data from ERP and CRM systems, 1C, Excel, Google, Microsoft 365, Slack, Mattermost, Jira, Plane and Linear into one layer, coordinates AI agents through our own orchestration engine and keeps every automated step under permissions, approvals and an audit log, while management gets dashboards, reports and risk alerts. RootOS is the core of the AI Love Digital ecosystem.

05 / Key features

What it does.

  • 01

    Unified company data

    Brings data from ERP, CRM, 1C, Excel, Google, Microsoft 365, Slack, Mattermost, Jira, Plane and Linear together in one centre.

  • 02

    Live process analytics

    Follows and analyses business processes in real time.

  • 03

    Early problem detection

    Spots overloaded people, delays and operational issues before they escalate.

  • 04

    AI agent orchestration

    Our own orchestration engine assigns tasks to AI agents automatically and coordinates their work.

  • 05

    Decision support

    Gives management analytical reports, risk alerts and recommendations.

  • 06

    Corporate memory

    Builds the company's internal knowledge base and automates repetitive operations.

06 / Architecture

How it is built.

  1. Governed automation

    Permissions, approval steps and an audit log decide what agents may do on their own.

  2. The brain of the ecosystem

    AgentOS runs the software delivery and MeetOS the meetings; RootOS links their data and coordinates their agents.

  3. From meeting to delivery

    A decision captured in MeetOS is matched by RootOS with resources and priorities and carried out through AgentOS — and progress flows back to management as a report.

07 / Technology

Tech stack.

Backend
  • .NET 10
  • ASP.NET Core
Apps
  • Web
  • Desktop
  • Mobile
Data
  • PostgreSQL
  • Redis
  • Vector database
AI
  • Claude Opus 5.5
  • OpenAI
  • Groq
  • GLM 5.3
  • Proprietary agent orchestration
Integrations
  • ERP and CRM
  • 1C
  • Excel and Google
  • Microsoft 365
  • Slack and Mattermost
  • Jira, Plane and Linear
Governance
  • Permissions
  • Approval workflows
  • Audit log
Infrastructure
  • AWS (EU region)
  • Cloudflare

08 / More work

More ai platforms and neighbouring work from the same studio.

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