Introducing Agentic OS (Orchestration System)

Unlock the power of agentic AI in your enterprise

Kizen’s Agentic OS enables your teams to build, monitor, and orchestrate AI agents across mission-critical workflows with enterprise-grade governance, security and compliance.

  • SOC 2 Type II
  • ISO 27001
  • HIPAA
Work Together

Where your people and AI work together, seamlessly

Build collaboratively

A canvas for developers and subject matter experts to design hybrid workflows (people and AI agents) in minutes

Monitor & observe

Full observability into AI agent reasoning, token usage, and accuracy. Catch hallucinations before they impact production

Continuous improvement

Loop feedback data back into the system to refind agent behavior instantly. Scale AI agents into production with a single click

Making AI more proactive

At Kizen, we built a system that fundamentally understands customer’s business struggles and takes action to improve operations for the organization.

A network of AI agents that learn & optimize together

Specialized AI agents collaborate as one system across Knowledge, Builder and Action – closing the loop between insight and execution.

They ingest customer's enterprise knowledge, build workflows and assets from strategic plans, and autonomously execute actions, closing the loop between insight and impact.

01 Knowledge Agents

Knowledge Agents

Context-aware AI agents that interpret user intent across multi-channel communication (chat, voice, email), retrieve enterprise knowledge, and deliver contextual responses to both customers and internal systems.

They access relevant knowledge bases and ensure responses stay grounded in approved information.

02 Builder Agents

Builder Agents

An AI agent builder that helps teams build workflows and assets faster translating business requirements into technical implementations with contextual guidance and best practices.

They accelerate workflow and component creation across your custom application environment.

03 Action Agent

Action Agents

Agents purpose-built to handle well-defined individual or multi-step tasks.

These are typically known as “reflex agents” due to their simple or model-based conditional function and are good at performing quickly and efficiently - making them valuable in multi-agent orchestration.

Management & Strategy Layer

A foundational control layer responsible for understanding user goals, gathering and refining requirements, creating strategic plans, orchestrating agent execution, and continuously evaluating progress to ensure all sub-agents operate in alignment toward a cohesive outcome.

Agent Supervisor

Contextually and goal-aware model that gathers requirements, builds plans, and ensures sub-agents adhere to plan. Can have sub-agents pause and reprocess.

Orchestrator Agent

Chat-based agent interface that asks questions, accepts user prompts, and builds a strategic plan to execute against to accomplish the user’s goal.

Critic Agent

Agent that takes user-defined or LLM generated requirements from strategic plan and evaluates each agent’s individual advancement toward that goal as a cohesive flow.

Safer, more reliable AI agents with enterprise governance from day one

Kizen is built on a centralized, common data model, which natively includes an automation engine, ETL, data management and many other features.

Kizen
Product

Agentic OS (Orchestration System)

Interaction
Surface
  • Internal Chat
    (text)
  • Internal Chat
    (voice)
  • Embedded
    External Chat
  • Email
  • Phone
    (Voice)
  • SMS
  • WhatsApp
Core
Functionality
  • Orchestration
    Agent with
    monitoring
  • Knowledge
    Agent with
    monitoring
  • Specialized
    Agents with
    monitoring
  • Learning
  • Escalate To
    Human
  • Enterprise
    Automation
    Engine
  • Integration
    Marketplace
Agentic
Assistance
  • GenAI Agent
    Builder
  • Token / Billing
    Model For AI Agentic
Enterprise
Enablement
  • Auto-Scaling
  • Provisioning From
    Test To Live
    Environment
  • Version
    Management
  • Automated
    Billing Of Usage
  • Developer
    Documentation
  • Support
    Documentation
  • Guided
    Onboarding
  • Certification
    Program

Deploy your multi-agent orchestration faster than ever

Get started with Kizen's Agentic OS and transform your enterprise operations with intelligent AI agents.

Frequently Asked Questions

What is an AI agent’s purpose on your team?

An AI agent serves as your intelligent digital teammate, focused on specific tasks that align with your business objectives. It learns your company’s processes and best practices to drive measurable progress toward your KPIs while providing actionable insights and process improvements.

How do I set my data up to help my AI agent succeed?

For optimal performance, your AI agent needs contextual understanding of your business operations, including company guidelines, standard processes, organizational structure, and workflow patterns. The more relevant business context it has access to, the more effectively it can assist your team.

Which goals can an AI agent accomplish?
  • Streamlining day-to-day tasks that follow predictable patterns
  • Automating routine workflows to free up your team’s time
  • Analyzing processes to identify improvement opportunities
  • Facilitating smoother cross-team collaboration and communication
  • Increasing overall productivity while maintaining quality standards
How does my AI agent work within my Enterprise data access policies, architecture, and entitlements?

Guardrails are essential safety features that define what your AI agent can and cannot do. These include customizable natural-language instructions, permission controls, and Kizen’s built-in security framework. These guardrails ensure your agent operates within your guidelines, maintains data security, and knows when to escalate issues to human team members.

Which LLM/LAM models (AI models) can I choose from?

Kizen provides enterprise-grade AI models out of the box that seamlessly integrate with your existing systems. For enhanced capabilities, you can select Kizen AI from our Marketplace. Enterprise customers can choose from premium models including OpenAI, Gemini (Google), Anthropic, Mistral, and others through our automated workflow integrations.

Do I need to have prior AI knowledge/experience?

No technical AI expertise is required. Kizen is designed for users at all skill levels, from beginners to advanced practitioners. Our intuitive interface and guided setup process help your team quickly build confidence in creating effective AI prompts and use cases. The system gradually helps you teach the AI about your specific business context for increasingly valuable results.

How long does it take to set up an AI agent for my team?

Kizen provides pre-configured AI agents that can be deployed immediately, without initial setup. These agents automatically analyze your data structures and business systems. For optimal performance, we recommend a guided onboarding process where you provide company-specific context and documentation. Most teams see meaningful results within the first week, with agent effectiveness continuing to improve as it learns from interactions with your team.

What happens if the AI agent doesn’t know how to complete a task?

Our AI agents are designed with intelligent escalation protocols. When facing limitations, the agent will transparently acknowledge the gap, suggest alternative approaches based on its knowledge, and—if necessary—route the request to the appropriate human team member. This ensures workflow continuity and prevents bottlenecks. All escalation instances are logged for review, creating opportunities for your agent to expand its capabilities through supervised learning of new processes.

Can I customize the AI agent to match our company’s voice and values?

Absolutely. Kizen AI agents can be tailored to embody your organization’s unique communication style, priorities, and values. During setup, you can define your brand voice parameters, upload style guides, and provide examples of ideal communications. The agent also adapts through observation of company interactions and documentation. This customization ensures that your AI representative communicates in a way that feels authentic to your organization’s culture.

Can the AI agent learn and improve over time?

Yes, continuous improvement is a core feature of our AI agents. The system employs sophisticated feedback loops that analyze user interactions, detect friction points, and identify knowledge gaps. When patterns emerge, administrators receive targeted questions designed to enhance the agent’s understanding of specific processes. This learning model combines both automated pattern recognition and human-guided refinement, ensuring your agent becomes increasingly valuable and aligned with your evolving business needs.