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.
A canvas for developers and subject matter experts to design hybrid workflows (people and AI agents) in minutes
Full observability into AI agent reasoning, token usage, and accuracy. Catch hallucinations before they impact production
Loop feedback data back into the system to refind agent behavior instantly. Scale AI agents into production with a single click
At Kizen, we built a system that fundamentally understands customer’s business struggles and takes action to improve operations for the organization.
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.
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.
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.
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.
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.
Contextually and goal-aware model that gathers requirements, builds plans, and ensures sub-agents adhere to plan. Can have sub-agents pause and reprocess.
Chat-based agent interface that asks questions, accepts user prompts, and builds a strategic plan to execute against to accomplish the user’s goal.
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.
Kizen is built on a centralized, common data model, which natively includes an automation engine, ETL, data management and many other features.
Get started with Kizen's Agentic OS and transform your enterprise operations with intelligent AI agents.
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.
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.
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.
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.
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.
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.
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.
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.
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.