Features & Quick Stats
Key Features
- Triage inbound calls
- Summarize and answer questions about policy coverages and exclusions with policy explorer
- Intelligently manage your schedule
- Fill out ACORD forms
- Handle service requests
- Create risk proposals
- Allow clients to access self-service portal for policy and certificate management
- Generate certificates
- Send quote proposals to clients
- Automate the post-bind customer journey
Core Business
AI CSR
How Cara Helps Independent Agents & Brokers
Meet Cara – an AI CSR designed to drive growth for agencies and brokerages. Cara is your AI collaborator for servicing, capable of intelligently triaging phone calls and emails, handling customer requests, and drawing from account-specific knowledge to generate certificates of insurance, answer questions, and resolve issues. Cara provides a new integrated operating system for agencies to improve efficiency and reduce administrative tasks. It seamlessly integrates with your existing AMS/CRM or operates as a standalone management system to collaborate with customers, teammates, or carriers.
Integrations
AI Capabilities
Modular AI features to supercharge your agency.
Partnerships
IAOA, PIA National, Agents Brokers United
Subscriber Deals
20% Off the Annual Fee with No Setup Fees
Catalyit Team Review
Helping agencies turn incoming client work into structured, actionable workflows without requiring an employee to touch every request
Updated: August 2026
What we like:
- Focused on actual insurance work: Cara is designed around agency, brokerage, and wholesaler workflows rather than adapting a general-purpose AI assistant to insurance.
- Turns communication into work: The Servicing module can interpret incoming requests, identify intent and relevant details, and organize the request into an actionable workflow rather than leaving employees to manually triage every email or conversation.
- Uses agency and account knowledge for context: Cara's Knowledge capabilities can reference internal documentation and account information, giving the system more context when assisting employees or responding to requests.
- Supports several communication channels: Voice, email, and web capabilities allow agencies to apply a common automation approach across multiple ways clients and partners communicate.
- The modular approach makes adoption more practical: Agencies can evaluate Copilot, Servicing, Knowledge, and Communication based on specific workflow needs rather than trying to automate the entire organization at once.
Things to consider:
- Start with defined workflows, not “AI.” Agencies should identify specific servicing or sales activities they want Cara to handle and establish what a successful outcome looks like before expanding usage.
- Human escalation needs clear rules. Coverage questions, cancellations, binding requests, complex claims conversations, and other situations requiring licensed judgment or relationship management should have defined handoffs.
- Integration depth is critical. Agencies should confirm exactly what Cara can read, create, update, or trigger within their particular AMS, CRM, email, phone, and other systems.
- Knowledge quality affects results. Agencies need accurate internal procedures, account information, and documentation if they expect Cara to consistently use that information when supporting workflows.
Summary
Insurance agencies receive a constant stream of unstructured work.
A client sends an email asking for a certificate. Another calls with a policy question. A producer needs information summarized before a renewal. Someone needs an ACORD form completed. A service request arrives without all the information an account manager needs to act on it.
Traditionally, an employee has to read or listen to each request, determine what it means, gather the relevant information, decide what should happen next, and then complete or assign the work.
Cara is designed to automate portions of that process. Its platform combines servicing automation, agency knowledge, employee assistance, and client communication so incoming requests can be understood and converted into more structured workflows.
What stood out during our review is the shift from simply providing an “AI CSR” toward building an intelligence and workflow layer around agency operations. That distinction matters. The more useful opportunity isn't having AI talk to clients—it is reducing the amount of manual interpretation and administrative work required before an employee can take meaningful action.
Key Features:
- AI-assisted servicing workflows
- Email and request triage
- Voice, email, and web communication
- Agency and account knowledge retrieval
- Policy and coverage information assistance
- Certificate and ACORD form workflows
- Sales and renewal workflow support
- AMS, CRM, and agency-system integrations
Best fit for:
- Growing agencies and brokerages where servicing workload is increasing faster than employee capacity
- Commercial agencies handling significant volumes of email-driven service and renewal work
- Agencies wanting to automate repetitive servicing while keeping employees involved in exceptions and higher-value conversations
- Organizations with documented processes and reliable account data that can support AI-driven workflows
- Agencies, brokerages, and wholesalers wanting a common automation layer across servicing, knowledge, and communication
May not be ideal for:
- Agencies with low service volume and limited repetitive administrative work
- Organizations without documented workflows or reliable account information
- Agencies looking primarily for a simple website chatbot or basic telephone answering service
- Teams uncomfortable allowing automation to act on client requests or agency systems even with defined controls and escalation
Deeper Dive
The Problem Being Solved: A surprising amount of agency work begins as unstructured communication.
Clients don't submit every request in a standardized format. They call, email, type into a website, forward documents, or explain what they need in their own words.
An employee then becomes the translator between that communication and the agency's systems.
The employee determines the intent, looks up the account, finds relevant information, creates the task, requests anything missing, completes the transaction, and documents what happened.
Cara is designed to automate portions of that translation layer.
Its Servicing capabilities can capture intent and important details from incoming communication and organize them into workflows. Its Knowledge module provides access to agency documentation and account information, while Copilot gives employees a workspace for using that information and automating tasks.
The result can be less time spent turning requests into work and more time handling the parts of the work that require insurance expertise.
Why It Matters to Agencies: Service capacity is one of the more difficult growth constraints for independent agencies.
Adding clients usually means adding emails, calls, certificates, policy questions, renewal work, forms, follow-up, and documentation. Historically, agencies have responded to that growth primarily by adding employees or outsourcing portions of the workload.
Cara introduces another option: automate defined pieces of the servicing process while keeping employees involved where judgment or relationships matter.
We think that's a more useful way to evaluate the technology than asking how many jobs AI can replace.
If Cara can correctly identify a certificate request, collect the needed information, use the appropriate account context, complete defined steps, and document the outcome, an account manager may only need to address exceptions rather than manually process every request.
The same principle can apply to incoming emails, policy questions, renewal workflows, forms, proposals, and other repetitive work.
The business outcome is capacity: can the existing team handle more business without service quality deteriorating?
What Stood Out to Us: What stood out during our review is how Cara has evolved beyond the AI CSR description in the existing Catalyit listing.
The current platform is organized around four complementary areas.
Copilot serves as the employee workspace for automating tasks and collaborating with Cara. Servicing turns unstructured communication into structured work. Knowledge provides access to internal documentation and account information. Communication extends those capabilities across voice, email, and web interactions.
That architecture makes more sense to us than treating AI as another employee sitting beside the agency's existing technology.
We also like the potential to combine client-facing and employee-facing automation. Some requests may be handled directly. Others may be prepared for an employee. Still others should immediately escalate to a person.
The agency doesn't have to use the same automation level for every workflow.
For us, that's Cara's differentiation: it is trying to understand incoming insurance work, apply agency and account context, and move that work forward—not simply generate answers or have conversations.
Final Thoughts
We came away seeing Cara's opportunity less as replacing the CSR and more as changing how much administrative work reaches the CSR in the first place. Reading requests, identifying intent, finding account information, creating tasks, preparing forms, and documenting routine work consume significant employee capacity without always requiring significant insurance judgment.
The combination of Servicing, Knowledge, Copilot, and Communication gives Cara a broader role than the AI CSR label suggests. The value will depend heavily on integration quality, agency data, workflow design, and disciplined decisions about what automation should be allowed to do.
For an agency principal, Cara is worth further evaluation if service growth is creating pressure to continually add headcount. We would identify three to five repetitive workflows that consume significant employee time, document how they work today, and test Cara against those specific processes. If it can reliably move routine work from request to resolution—or to a well-prepared human handoff—the agency has a much clearer reason to expand its use.
* Unbiased review based upon information and insights available at the time of publication.
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