How we work
Distilled from every approval, edit and rejection. Inherited by every role below
Agentic OS
AI Agents That
Execute, Not Assist
Brezel introduces AI agents as active system users — capable of planning, executing, and iterating on real tasks across tools, data, and workflows. Not chatbots. System users.
24/7 AvailabilityParallel ExecutionContext-AwareAutonomous Workflows
Not Chatbots
Active System Users,
Not Passive Assistants
Brezel's AI agents are not chatbots. They are designated system users with strict roles, rights, and fully autonomous workflows.
Chatbots
Brezel AI Agents
01 Role in System
Responds to prompts on request.
Operates as a designated system user with strict permissions.
02 Memory
Session-based only — forgets after every conversation.
Persistent context via VectorDB and RAG pipelines.
03 Tool Access
No system-level access or permissions.
APIs, headless browsers, CLI in secure sandboxes.
04 Execution
Assists users — humans still do the work.
Executes full workflows autonomously end-to-end.
Agent Architecture
Built for Agentic Execution
Every layer of a Brezel agent is designed for autonomous operation — from identity to memory to real-time tool access.
01Identity & Auth
Service Accounts
& Strict Scopes
Every agent operates under a dedicated service account with asymmetric key-pair authentication and strictly scoped API permissions — no broad access, no guesswork.
02Memory
Context-Aware Persistent Memory
Agent knowledge is stored in VectorDB, retrieved through RAG pipelines and kept relevant inside context windows — reloaded fresh for every task.
03Availability
24/7, Event-Driven & Parallel
Agents are always active, triggered by events, and can run infinitely in parallel across every workflow simultaneously.
24/7Always on
04Tool Access
Secure Sandboxed Tool Access
Agents have access to a full suite of tools inside isolated, secure sandboxes — operating autonomously without human intervention.
REST APIsHeadless BrowserCLIGitDocsWeb
Agentic OS Model
One Interface.
The System Handles the Rest.
The user interacts through a simple ticket interface. Brezel handles everything else — routing logic, orchestrating agents, and executing workflows across all systems.
Human Layer
UserSets intent only
Ticket SystemStructured input
Orchestration
Orchestrator
Creates automatic data routes for configured agents. Plans, decomposes, and coordinates all workflows.
Digital Workforce
Git Agent
Web Agent
Docs Agent
Data Agent
Email Agent
Search Agent
Secure native access · Enterprise repository
Agents are not chatbots — they are active system users with designated roles, strict rights, and fully independent automated workflows.
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
Learning loop · in progress01 / PLAYBOOK 02 / MEMORY
Brezel learns how your company works
01
Company infoSet by management · locked
↓02
Executive managementInherited company context
↓03
SalesRole-specific ways of working
↓04
Call centerHumans and agents
Knowledge flows down the hierarchy, never up.
What happens
Facts about cases and people stay with the user or agent they belong to