On Earth, the office hits a ceiling
Manual routine work
In a large company, this means huge costs.
Process chaos
A colossal cost, and not only a financial one.
Public AI services without oversight
This is a real risk to your data and your IT perimeter.
What each part of the station does
Crew
Your employees make the decisions.
Engines
LLMs of different tiers for different tasks.
Onboard instruments
They transcribe speech, read scans and find personal data. They run on their own compute inside the IT perimeter.
Docking port
Connects to the systems you already have: ERP and accounting systems such as 1C, email, CRM.
Robotic arm
Assign a task as you would to a colleague: the agent finds the data, cross-checks it, prepares the document and sends it.
Library
How the company is organized and how everything in it works: answers from internal documents with a link to the source.
Logbook
Decisions, action items and statuses in one place.
Airlock
An isolated zone for contractors and partners.
Status panel
An executive asks in plain language and gets an answer based on company data.
What each part of the station does
Crew
Your employees make the decisions.
Engines
LLMs of different tiers for different tasks.
Onboard instruments
They transcribe speech, read scans and find personal data. They run on their own compute inside the IT perimeter.
Docking port
Connects to the systems you already have: ERP and accounting systems such as 1C, email, CRM.
Robotic arm
Assign a task as you would to a colleague: the agent finds the data, cross-checks it, prepares the document and sends it.
Library
How the company is organized and how everything in it works: answers from internal documents with a link to the source.
Logbook
Decisions, action items and statuses in one place.
Airlock
An isolated zone for contractors and partners.
Status panel
An executive asks in plain language and gets an answer based on company data.
Engines change, the station stays yours
- External providers
- Rented compute
- Your hardware
Engines
We connect the LLMs (language models) each task calls for
Maneuver
The final decision stays with a human
- Processes
- Systems
- Access rights
Station
We build it around your company
Real-world examples
Marketing
- What the system does
- Full data collection and consolidation
- What the company gets
- Marketers work more productively
Accounting
- What the system does
- Collects, prepares and checks large, constantly changing reports
- What the company gets
- One or two days instead of weeks of manual work
Analytics
- What the system does
- Complex parsing, consolidation and evaluation of data
- What the company gets
- Faster reports and decisions, an edge over competitors
Major market players trust us for our reliability and quality.
We launch our systems several times faster than traditional custom development.
Automation handles the routine, decisions stay with the crew
Today
In some operations, people are the manual link between systems, documents and correspondence.
On the station
We hand these operations over to AI. The final decision stays with a human.
What the company gets
It handles a growing workload without proportional hiring.
Over time, when roles made up entirely of moving data around fall vacant, they need not be refilled.
A meeting turns itself into action items
Meeting, call or video conference
Transcript
Minutes
Action items with owners and deadlines
The person leading the meeting doesn't need to take notes.
The assistant reminds, the agent acts, the library answers
Reminds
Assistant
It proactively reminds people of deadlines, flags what needs attention and puts together a short summary for the start of the day. It takes questions by voice or text.
Acts
Agent
Assign multi-step work as you would to a colleague: find, cross-check, prepare a document, send.
Answers
Library
Answers from internal documents come with a link to the source.
Decisions and action items in one logbook
Decisions, action items and statuses now scattered across email, chats and spreadsheets are gathered in one place.
Transparency
You can see who is responsible, what has changed and why. The record of changes cannot be rewritten.
Airlock
Contractors and partners work right here, in a separate isolated zone.
Personal data is protected before it reaches an LLM
Find
The system finds personal data in text and files.
Mask
The system masks the data it finds before sending it to an external LLM.
Restore
The system puts the data back into the finished response.
If masking fails, the request is not sent.
Every compartment sealed, everyone with their own clearance
An agent works with a specific employee's access rights and sees no more than that employee does.
Isolation
Agents work in a closed environment, and outbound traffic passes through a filter.
Vault
Passwords and keys to your systems are encrypted.
Audit
Logins and AI requests are logged: who made the request, which LLM it went to and what it cost.
We close off public AI services together with your information security team
Platform
Controls the requests that pass through it.
Together with your information security team
We shut off access to public AI services using your information security team's tools: traffic control and data loss prevention (DLP).
Station status in minutes
Question
An executive asks it in plain language.
Answer
Based on company data, within minutes, with no need to ask an analyst or wait for a data export.
Signal
The system flags bottlenecks on its own, without waiting to be asked.
The platform makes it easier to work in international markets
The assistant and agents understand and write in multiple languages.
They translate documents and correspondence.
They prepare letters and materials for international partners.
They answer questions based on sources in other languages.
You can launch with just the first module
Pre-flight check
Assessment: we identify the processes and data where the impact will be greatest.
Blueprint
We design the solution: integrations, access rights, information security requirements, LLM selection.
First module
The station is already in flight: a pilot on priority processes, with the impact measured.
New modules
We bring other departments on board and take the platform into production.
Maintenance
Monitoring, updates without interrupting work, new features as new needs arise.
Questions and answers
What is TenZorro OS?
TenZorro OS is an enterprise AI platform built around your company's processes, systems and access rights. An employee sets a task, and the system finds the data, cross-checks it, prepares the document and sends it. The system prepares the work; your employee makes the decision. No separate training is needed: people talk to the system in plain language.
Which systems does the platform connect to?
The platform connects to the systems you already have: ERP and accounting systems such as 1C, email and CRM. We work within your systems and your standard document templates. Features are rolled out in stages.
What work does the platform take on?
A meeting, call or video conference automatically becomes minutes and action items with owners and deadlines. Questions about internal documents are answered with a link to the source. Large, constantly changing reports are collected, prepared and checked in one or two days.
How is personal data protected when using LLMs?
The system finds personal data in text and files. The system masks the data it finds before sending it to an external LLM. The system puts the data back into the finished response. If masking fails, the request is not sent.
Which language models does the platform use?
Language models are chosen for each task and can come from external providers, rented compute or your own hardware. Heavyweight LLMs handle reasoning and analytics, while lightweight local LLMs handle high-volume processing and sensitive data.
What can an AI agent access?
An agent works with a specific employee's access rights and sees no more than that employee does. Agents work in a closed environment, and outbound traffic passes through a filter. Passwords and keys to your systems are encrypted. Logins and AI requests are logged: who made the request, which LLM it went to and what it cost.
How does implementation work?
You can start with one module. Assessment: we identify the processes and data where the impact will be greatest. Design: we work out integrations, access rights and information security requirements. First module: a pilot on priority processes, with the impact measured. New modules: we bring other departments on board and take the system into production. Support: monitoring, updates without interrupting work, new features as new needs arise.
First step:pre-flight check
After the assessment, we decide together with you what to automate first.