Describe your company. Get your system
Brezel proposes the modules a business like yours needs and builds them once you confirm. Module suggestions in the setup wizard are in progress
Example · a bakery
AI-Native Business Operating System
Brezel.io
The ERP that builds itself and employs AI like people.
ERP coreAI agentsShared rightsHuman oversight
Describe the outcome. Brezel handles execution across your entire business operations and enterprise workflows— from customer support to procurement to compliance Brezel doesn’t just automate work. It learns how your company works
01Shared rights system
02People and agents
03ERP + orchestration
Where Automation
Becomes Infrastructure.
Design workflows visually. Brezel runs them with modular AI agents. Scale across your entire business operations without writing a single line of code.
AI-Native
Why AI-Native Beats Legacy SaaS
Traditional software forces you to adapt to rigid systems. Brezel adapts to your intent, your data, and your workflows.
Legacy SaaS
Brezel
01 Logic That Understands Meaning
Hard-coded workflows locked into rigid UI and schemas.
Semantic systems that understand relationships, context, and intent.
02 From Interfaces to Intent
Users navigate menus, dashboards, and configurations.
Users define goals. The system orchestrates execution.
03 Data Built for Machines
Data tied to UI, hard to access and integrate.
API-first, machine-readable data usable by AI agents.
04 Retention Through Integration
Relies on contracts and switching friction.
Becomes part of core operations through autonomous workflows.
How it works
From Signal to Learning.
Step 01
Signal
Anything can be a signal: an e-mail, a webhook, a document or a request
Step 02
Case
The signal is classified, checked for relevance and turned into a case
Step 03
Decision
The right person approves, edits or rejects the proposed next step
Step 04
Action
An agent or employee replies, records the outcome or builds what is needed
Step 05
Learning
The outcome feeds role memory and playbooks as the learning loop develops
In practice
A wedding catering inquiry arrives by e-mail. Brezel opens a case, sees that date, guest count and budget are missing, and drafts the follow-up. The owner approves with one click
Self-building ERP01 / SETUP 02 / EVERYDAY WORK
No agency project. Brezel builds the system from your goals and your inbox
Start with the company you have. Extend the ERP as real work reveals what is missing
Real signals reveal what is missing
In daily work, an incoming document can reveal the need for a new module
- 01An invoice PDF arrives as a signal
- 02Brezel sees there is no invoice module
- 03It drafts fields, layout and workflow
- 04You review the preview and approve
- 05The module goes live and the invoice is filed
The system grows with the company instead of being configured once
Agentic Systems
From Teams to Agentic Workforces
Restructure how work gets done. We treat AI agents like full-scale employees—integrating them directly into your chat communications, task management, and workflows.
Traditional Structure
- Design
- Development
- QA
- Research
- Manual coordination
- Slow execution
With Brezel
- Human Command Layer
- Orchestration Engine
- Digital Workforce (AI Agents)
- Parallel execution
- Continuous workflows
- Scalable systems
Architecture
01
Human Command
Strategy, decisions, and oversight. Humans define intent, not execution.
02
Orchestration Engine
Interprets goals, routes logic, and coordinates workflows across systems.
03
Digital Workforce
Autonomous AI agents execute tasks continuously across tools and data.
80%of execution handled by agents
Powerful Features
Everything you need to build, automate, and scale workflows with Brezel.
Permissions
Workflows
Notification Center
The Many Uses of AI
Modular AI Agents, Not Monolithic Code
Revision History & Comments
Smart Document Management
Centralized Email System
Flexible Data Output
Feature
Permissions
Define precise access control across modules with full read, write, update, and delete permissions.
Ensure sensitive data stays protected while giving each user exactly the access they need.
Core Concept
Company OS
Agentic Policy
Defines how employees, AI agents, and management interact — ensuring decisions, communication, and collaboration are efficient, transparent, and ethical.
01 AI Mirror Agents
AI Mirror Agents
Each employee can have an AI agent that acts as their mirror — carrying the same permissions and working as their intelligent proxy. For privacy, employees communicate with other employees only, never with their colleagues' mirror agents.
- Chat with your mirror agent
- Assign it tasks directly
- Let it make decisions on your behalf (with approval)
02 Transparency
Transparency
All interactions with independent agents are fully traceable. Management can review every action at any time — nothing operates in the dark.
03 Communication Rules
Communication Rules
Hierarchy-aware boundaries built on trust and responsibility — not rigid technical locks. Employees interact freely with agents below them; reaching across or upward requires approval from a higher-level human, scoped to that specific task or case.
04 Independent Agents
Independent Agents
Agents without a human mirror. They handle general system tasks — monitoring, content creation, workflow automation — acting only on behalf of management or the employees who activate them.
05 Custom Policies
Custom Policies
Beyond the defaults, every company can define its own access rules — granting full, limited, or no access to specific agents per employee.
Full accessLimited accessNo access
Governance & security01 02 03 04 05 06
Governance built in, not bolted on
Designed for the EU AI Act era: humans stay accountable for every decision that matters
Roles & permissions
One rights system for employees and agents. Agents act only within their department
Secrets stay secret
An integrated password manager uses credentials at runtime; they never enter the LLM context
Sandboxed work
Agents use isolated execution environments for code, shell and tools, away from production systems
Fully traceable
The signal pipeline records what came in, what was decided and by whom
Multi-tenant
Several companies on one installation, with separate data, users and agents
Cloud or on-prem
Run on-premise with local LLMs or use Brezel Cloud when available. The model is chosen per agent
Get Started
See Brezel in Action
Experience how Brezel transforms workflows into structured, autonomous systems. No guesswork. No manual coordination.