Agent CRM by Kizen - AI Powered CRM for Insurance Teams

Manage, automate, and grow your book of business

An AI-native CRM, built for insurance agents, to handle the admin work, so you can spend more time with members.

Trusted by industry leaders to optimize mission-critical business processes.

Get 2 days of work back with your own AI assistants

Never miss a client touch point or renewal opportunity

Drive growth and retention with powerful workflows

Ultimate AI Assistant for Insurance

Unload the administrative burden through a simple chat

Meeting Assistant

Record a meeting via Kizen Voice and automatically parse data into the CRM

Knowledge Assistant

Identify new cross-sell / up-sell opportunities for your members

Marketing Assistant

Build and launch custom, compliant marketing emails and branded client forms

The leading AI-native CRM

See how Kizen’s AgentCRM can help you stay organized, compliant, and focused on what matters most, growing your book of business.

By the numbers

Spend more time doing what you love by automating what you don’t

60%

Saved follow-up time with AI assistance

28%

Increase in cross-sell & close rates

2D

Reclaimed per week for selling

Easily connect and sync with your existing tools

Agent CRM integrates the tools you need every day - securely and ensuring compliance at all times

Enrollment

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Email

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Smart Connectors

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Compliance

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Why enterprises choose Kizen

Speed to Value

ROI delivered in 30–90 days. Pre-Trained Agents, AI Applications, & Industry-Specialized FDE teams accelerate value

True Context Technology

Ensure AI Agents have complete context to reason and take appropriate actions

Regulated Enterprise Ready

Secure, observable, scalable, transparent, and compliant

Self-Learning Architecture

Agents learn independently and humans improve their learning, which creates a compounded, and reinforced, self-learning loop

See what’s possible.

“We started working with Kizen three years ago. Today, we’ve more than doubled our business and nearly tripled our EBITDA with the same team.”

COO from one of the largest field marketing organizations in the country.

Measured Impact

Value generated in 4 months across 3 use cases

Lost commissions recovered in 60-day PoC

Months Implementation time to production

ROI in 12 months with a 4.8-month payback period

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?

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.