Klynk

Our Approach

Built for how insurance distribution actually works.

Klynk is not a generic CRM with insurance labels or an AI chatbot bolted onto a helpdesk. It is a connected operating platform for the relationships, records, workflows, and market discovery that drive distribution.

Distribution operating layer
Broker, customer, policy, workflow, marketplace
Connected
MGA view
34 brokerages active
Broker CRM
812 customers linked
Marketplace
12 markets matched
Workflow context
Risk search
Commercial property in BC
Policy record
Renewal in 42 days
AI assist
FAQ and wording match
Next action
Assign service owner

What makes Klynk different

The product is shaped around distribution operations, not software categories.

Klynk brings together the things insurance teams usually have to stitch together: CRM, broker management, policy context, communication, workflows, marketplace discovery, and AI-assisted work.

Insurance distribution first

Klynk starts from the relationship between MGAs, brokerages, brokers, customers, policies, documents, service requests, and placement decisions.

Two-sided by design

MGAs and brokers have different workflows, but they belong to the same distribution network. Klynk supports both as first-class journeys.

Marketplace in the same system

Market discovery is connected to broker needs, MGA appetite, reviews, profiles, and placement context.

AI with operating context

AI assists inside the records, documents, conversations, permissions, and workflows that already define the business.

Connected platform

One operating layer for the work around distribution.

Klynk brings the daily work into one system: broker management, customer CRM, policy records, service conversations, workflows, marketplace discovery, and AI-assisted operations.

Broker and brokerage records stay tied to policies and service history.
Customer CRM, renewal work, and communication live together.
Marketplace search connects broker demand with MGA appetite.
AI can assist because the platform already has the context.
Distribution operating layer
Broker, customer, policy, workflow, marketplace
Connected
MGA view
34 brokerages active
Broker CRM
812 customers linked
Marketplace
12 markets matched
Workflow context
Risk search
Commercial property in BC
Policy record
Renewal in 42 days
AI assist
FAQ and wording match
Next action
Assign service owner

Operating philosophy

Platform first. Automation second. AI where the context exists.

That order matters. Klynk makes the underlying insurance operation legible before asking automation or AI to act on it.

01

Start with the real network

Model MGAs, brokerages, brokers, customers, policies, documents, service requests, and market discovery as connected work.

02

Make daily work visible

Turn inboxes, renewals, support requests, campaigns, workflows, and follow-ups into structured operations.

03

Connect the marketplace

Let brokers search for markets while keeping MGA appetite, reviews, profiles, and placement context connected.

04

Add AI where it can help

Use policy documents, FAQs, customer records, broker context, permissions, and workflows to make AI assistance practical.

AI-assisted operations

AI is useful because it works inside the insurance operation.

Klynk launches with AI-assisted service replies grounded in policy documents and FAQs. The larger direction is agents that can support admin, broker, customer, and service workflows because the platform gives them the right context.

Draft replies from approved policy documents and FAQs.
Expose source context before a team member sends.
Prepare for broker, admin, customer, and service agents that can act inside workflows.
AI service draft
Human-reviewed, source grounded
3 sources
Suggested reply

Based on the policy wording and FAQ, this risk appears eligible for review if the occupancy details and prior losses are confirmed.

Policy wording
FAQ article
Customer record
Admin agent
Prepare tasks
Broker agent
Find context
Service agent
Draft response

Our approach

Klynk's advantage is the connected context it creates over time.

Every broker relationship, customer record, policy update, marketplace signal, service request, workflow, and source-grounded reply strengthens the operating layer.

Read our approach
1

Built around insurance distribution

Klynk understands MGAs, brokerages, brokers, customers, policies, documents, service requests, and placement decisions.

2

Two-sided by design

MGAs and brokers work differently, but they belong to the same distribution network. Klynk supports both journeys from day one.

3

Marketplace connected to operations

Market discovery is connected to broker needs, MGA appetite, profiles, reviews, and real placement context.

4

Automation where the work happens

Workflows trigger from policy activity, service requests, renewal dates, broker actions, customer updates, and internal operations.

5

AI with real insurance context

AI assists inside the records, documents, conversations, permissions, and workflows that already power the business.

Talk through your operating model with Klynk.

We will map your MGA, brokerage, or marketplace workflow to the platform and show where connected operations can replace scattered tools.