Virtual Office by IT.CAFE

Your company.
17 AI employees.
One human boss.

A virtual office that manages projects, handles support, tracks finances, ensures compliance, and gets smarter every week. You read a monthly report over coffee. That's your job now.

How many hours can you save? See the levels
Business view shows ROI, pricing levels, and how it works. Switch to Tech to see the architecture, security model, and stack details.

How much of your back office shouldn't be human work?

8
250
600
hours / month your agents could handle
Equivalent FTEs 3.5
Agents needed 7
Your team freed up for actual work

Start small. Scale when it proves itself.

Level 01 — Scout

First Contact

Weeks to deploy

3 agents handle your communication. Messages come in, get sorted, get answered. You see a daily summary of what happened.

  • Router + Worker + Reporter
  • Telegram access
  • Daily summary to you
  • The system starts learning
Level 03 — Office

The Full Company

Ongoing evolution

17 agents across 7 departments. Compliance built in. Self-improving. The virtual office knows your business better than a new hire ever could.

  • + Tech, Compliance, Gardener, Research
  • ISO 27001 + 42001 practices
  • AI Council for complex decisions
  • The system is your competitive moat
Industrial-grade AI infrastructure
Industrial AI. Not a toy.

Backed by NVIDIA. Running in your building.

Your agents run on NVIDIA's enterprise AI platform. Not cloud AI you rent by the request. A supercomputer under your desk. Your data never leaves the building. 80% of tasks run at zero cost.

120B
AI brain size, today
$0
Cost, 80% of tasks
24/7
Agents don't sleep
0
Data sent to cloud
Scaling path
1×
120B
coffee table
2×
400B
serious office
4×
700B
AI factory
GB300
unlimited
sky is the limit
Same software. Same agents. Same skills. Just more power.

Your AI runs on your hardware. Cloud AI helps when needed.

80% of tasks run on your own machine at zero cost. Complex decisions get a second opinion from cloud AI on demand. You get the best of both — and the bill proves it.

Cloud-only approach
1,000 tasks/month $3,000–8,000
10,000 tasks/month $30,000–80,000
Data privacy your data in their cloud
Scaling cost linear — more use = more $$$
IT.CAFE — hybrid model
1,000 tasks/month $50–200 (cloud portion only)
10,000 tasks/month $500–2,000 (cloud portion only)
Data privacy 80% stays on your hardware
Scaling cost flat — more local = less cloud

Five steps from "tell us about your business" to "read your monthly report."

01

You tell us what your back office does

Processes, pain points, tools you use. We map it. No migration needed — agents connect to your existing systems.

02

We deploy agents trained on your workflows

Start with Level 01. Three agents. Running on secure NVIDIA infrastructure. Handling real work within days.

03

Agents start working via Telegram

Message them like you'd message a colleague. They classify, execute, report back. Slack and other channels come later.

04

Every week, the system gets smarter

Built-in learning loop. The system analyzes what worked, what didn't, and improves itself. Week 1: 70% quality. Month 6: 95%. You didn't do anything — it just got better.

05

You read a monthly report. That's it.

The AZ compiles everything: project status, support metrics, financial summary, compliance log, and one-page recommendations. Five minutes of your time.

Not promises. Architecture.

NVIDIA

Built on NVIDIA's enterprise agent platform. Not a science experiment — industrial-grade AI infrastructure.

Data sovereignty

Your data runs locally. Not in someone's cloud. Not in a training dataset. Under your desk, under your control.

Compliance

ISO 27001, ISO 42001, ITIL 4 practices built into the agent hierarchy. Not bolted on — baked in.

Reversible

Every change versioned. Every decision logged. Every action reversible. If something goes wrong, we roll back in seconds.

Five layers. Two owners.

Pět vrstev. Dva vlastníci.

NVIDIA provides layers 1-2 (hardware + runtime + security). IT.CAFE provides layers 3-5 (platform + agents + intelligence). No custom infrastructure — we build on NVIDIA's enterprise stack.

NVIDIA poskytuje vrstvy 1-2 (hardware + runtime + bezpečnost). IT.CAFE poskytuje vrstvy 3-5 (platforma + agenti + inteligence). Žádná custom infrastruktura — stavíme na enterprise stacku NVIDIA.

Layer 5
IT.CAFE

Treasure

Self-improvement engine. Feedback Ledger collects signals from every agent interaction. Weekly analysis cycle proposes skill improvements. Git-versioned, AZ-approved, auto-deployed. The compound intelligence moat.

Motor sebezlepšování. Feedback Ledger sbírá signály z každé interakce agenta. Týdenní analytický cyklus navrhuje vylepšení skills. Verzované v gitu, schválené AZ, automaticky nasazené. Kumulativní příkop inteligence.

Layer 4
IT.CAFE

Agent hierarchy

Hierarchie agentů

Sub-agent orchestration with spawn depth control. Router dispatches to specialist workers. AZ reviews outputs via sampling. Skills defined as versioned markdown files — OpenClaw native format.

Orchestrace sub-agentů s kontrolou hloubky spawnování. Router dispatchuje na specializované workery. AZ reviewuje výstupy vzorkováním. Skills definované jako verzované markdown soubory — nativní formát OpenClaw.

Layer 3
IT.CAFE

Platform

MCP-based tool integration: PostgreSQL + pgvector for persistence, provider-agnostic business tools (Zoho/Odoo/client's own), Git MCP for skill versioning. OpenClaw channels for Telegram/Slack ingress. OpenShell policies for network governance.

MCP integrace nástrojů: PostgreSQL + pgvector pro persistenci, providerově agnostické business nástroje (Zoho/Odoo/vlastní klienta), Git MCP pro verzování skills. OpenClaw kanály pro Telegram/Slack. OpenShell politiky pro síťovou správu.

Layer 2
NVIDIA

NemoClaw

OpenClaw agent runtime + OpenShell security sandbox. 4-layer kernel-level isolation: network (deny-by-default, hot-reloadable), filesystem (restricted to /sandbox), process (seccomp, no privilege escalation), inference (all model calls routed through gateway). Single command deployment.

OpenClaw agent runtime + OpenShell bezpečnostní sandbox. 4-vrstvá izolace na úrovni kernelu: síť (deny-by-default, hot-reloadable), souborový systém (omezený na /sandbox), procesy (seccomp, bez eskalace práv), inference (všechna volání modelu přes gateway). Nasazení jedním příkazem.

Layer 1
NVIDIA

DGX Spark

GB10 Grace Blackwell Superchip. Unified memory architecture. Nemotron 3 Super 120B (A12B) via Ollama. Up to 8 concurrent agent sessions per node. Multi-node linking via RoCE 200 GbE for 400B-700B models.

GB10 Grace Blackwell Superchip. Unifikovaná paměťová architektura. Nemotron 3 Super 120B (A12B) přes Ollama. Až 8 současných agentních sessions na uzel. Multi-node propojení přes RoCE 200 GbE pro modely 400B-700B.

Four extension points. No custom runtime code.

Čtyři integrační body. Žádný custom runtime kód.

Skills

Agent behavior defined as markdown files with YAML frontmatter. OpenClaw native format. Hot-reloaded via file watcher. Git-versioned — every change is a commit.

Chování agenta definované jako markdown soubory s YAML frontmatter. Nativní formát OpenClaw. Hot-reload přes file watcher. Verzované v gitu — každá změna je commit.

.agents/skills/*/SKILL.md

MCP Servers

Model Context Protocol — standardized tool interface. PostgreSQL, Git, business tools (Zoho/Odoo/Jira). Agents call capabilities, not vendor APIs. Provider-agnostic.

Model Context Protocol — standardizované rozhraní nástrojů. PostgreSQL, Git, business nástroje (Zoho/Odoo/Jira). Agenti volají schopnosti, ne vendor API. Providerově agnostické.

openclaw.json → mcpServers

Sub-agents

Hierarchical orchestration via sessions_spawn. Configurable depth (1-5), concurrency limits (1-20 per agent), global cap. Router at depth 0, specialists at depth 1-2.

Hierarchická orchestrace přes sessions_spawn. Konfigurovatelná hloubka (1-5), limity souběžnosti (1-20 na agenta), globální strop. Router na hloubce 0, specialisté na 1-2.

maxSpawnDepth: 2, maxConcurrent: 8

Git Worktrees

Skill evolution via git worktrees on PGX. Gardener proposes in isolated worktree, AZ reviews diff, merge to main triggers OpenClaw reload. CI/CD for agent intelligence.

Evoluce skills přes git worktrees na PGX. Gardener navrhuje v izolovaném worktree, AZ reviewuje diff, merge do main spustí OpenClaw reload. CI/CD pro agentní inteligenci.

DAI-gardener/ → review → merge → reload

OpenShell sandbox. Deny by default.

OpenShell sandbox. Deny by default.

Layer Protection Ochrana Modifiable Změnitelné
Network Deny-by-default outbound. Allow specific hosts/ports via policy YAML. Deny-by-default odchozí. Povolení konkrétních hostů/portů přes YAML politiku. Hot-reloadable Hot-reloadable
Filesystem Restricted to /sandbox and /tmp. No host access. Omezený na /sandbox a /tmp. Žádný přístup k hostu. Fixed at creation Fixní při vytvoření
Process Seccomp filters. No privilege escalation. No dangerous syscalls. Seccomp filtry. Bez eskalace práv. Žádné nebezpečné syscally. Fixed at creation Fixní při vytvoření
Inference All LLM calls routed through OpenShell gateway. Agents never contact models directly. Všechna volání LLM směrována přes OpenShell gateway. Agenti nikdy nekontaktují modely přímo. Hot-reloadable Hot-reloadable

Compliance built in

Compliance zabudovaný

Compliance Agent audits against ISO/IEC 27001 (infosec), ISO/IEC 42001 (AI management), and ITIL 4 (service management) practices. Weekly, monthly, and quarterly audit cycles. Not copyrighted text — operational practices in our own words, mapped to clause references.

Compliance Agent audituje proti postupům ISO/IEC 27001 (infosec), ISO/IEC 42001 (AI management) a ITIL 4 (service management). Týdenní, měsíční a čtvrtletní auditní cykly. Ne kopírovaný text — provozní postupy vlastními slovy, mapované na reference klauzulí.

Per-agent governance

Governance na úrovni agenta

Each agent has explicit tool allow/deny lists. Router gets sessions_spawn but no file access. Worker gets filesystem but no spawn. Reporter gets database read but no write to business tools. Principle of least privilege, enforced at runtime.

Každý agent má explicitní allow/deny seznamy nástrojů. Router dostane sessions_spawn ale ne přístup k souborům. Worker dostane filesystem ale ne spawn. Reporter dostane čtení databáze ale ne zápis do business nástrojů. Princip nejmenších práv, vynucený za běhu.

Same stack. Add hardware.

Stejný stack. Přidejte hardware.

Config Konfigurace Model capacity Kapacita modelu Concurrent agents Souběžní agenti Connectivity Propojení
1× DGX Spark (GB10) Up to 120B params Až 120B parametrů ~8
2× Spark Up to 400B params Až 400B parametrů ~16 ConnectX / RoCE
4× Spark Up to 700B params Až 700B parametrů ~32 RoCE 200 GbE
GB300 Datacenter-class, no ceiling Datová třída, bez stropu Unlimited Bez limitu NVLink

Hybrid model: 80% of tasks run locally ($0/task). Remaining 20% route to cloud AI (Claude, GPT-4o) for complex reasoning. Cloud percentage decreases as local hardware scales.

Hybridní model: 80 % úloh běží lokálně ($0/úlohu). Zbylých 20 % směruje do cloud AI (Claude, GPT-4o) pro složitý reasoning. Podíl cloudu klesá s růstem lokálního hardware.

What's running. No vaporware.

Co skutečně běží. Žádné vzdušné zámky.

Component Komponenta Technology Technologie Status Stav
HardwareNVIDIA DGX Spark (GB10 Grace Blackwell)RunningBěží
LLMNemotron 3 Super 120B (A12B) via OllamaRunningBěží
Agent runtimeAgent runtimeNemoClaw (OpenClaw + OpenShell)RunningBěží
SecurityBezpečnostOpenShell 4-layer sandboxRunningBěží
AgentsAgentiRouter, Worker, Reporter (pilot)DeployingNasazování
DatabaseDatabázePostgreSQL 16 + pgvector (19 tables)DesignedNavrženo
ChannelsKanályTelegram (OpenClaw native)Config readyKonfigurace připravena
Business toolsFiremní nástrojeMCP: Zoho / Odoo / client's ownDesignedNavrženo
ComplianceISO 27001 + 42001 + ITIL 4 agentSkill writtenSkill napsán
PM methodologyPM metodologieP3.express (OMIMO, CC-BY)Skill writtenSkill napsán
Limited capacity Q2 2026

Your competitors will automate their back office.
The question is who does it first.

We onboard 10 companies this quarter. No fluff call — a live demo of agents running on your actual workflows.

Prague, Czech Republic