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AI customer support for your existing channels

AI support that
runs like your best team.

Across WhatsApp, web, voice, and your product, Mavrk answers with company context, takes action, and hands off cleanly when needed.

Connects
Works inside the channels your customers already use, from WhatsApp and web chat to calls and in-app support.
Understands
Uses your FAQs, SOPs, policies, and support docs as business context.
Resolves
Resolves routine work, takes approved actions, and hands off cleanly when judgment is needed.
Existing customer channelsContextual customer supportPolicy-grounded decisionsHuman handoff when needed
What is your refund policy for cancelled appointments?
Can I move my booking to Friday afternoon?
My order has not arrived yet. Can you help?
I need to speak to a human about this issue.

Start here

Scan with WhatsApp. Setup happens inside the chat.

Open in WhatsApp
Scan the code and start the setup flow inside WhatsApp.
Start in under a minute
No long setup form first. Just scan, send one message, and connect your existing WhatsApp Business account to Mavrk.
Already started on WhatsApp?
If you already used Mavrk with a WhatsApp number, claim that number from the web and continue in your workspace.

Start with one channel. Keep the customer experience the same.

Launch where support demand already exists, add company context, and let Mavrk improve resolution without forcing customers into a new portal or workflow.

Step 1

Connect your first channel

Start with WhatsApp first, then expand into web, voice, or an embedded Mavrk widget in your product.

Step 2

Add your company context

Upload the policies, FAQs, SOPs, and docs your team already relies on.

Step 3

Go live with grounded support

Customers keep using the channels they already know while Mavrk answers, acts, and escalates behind the scenes.

Example workflow
“A customer wants to reschedule. Check our policy, offer the next available slot, and escalate if they need an exception.”
Live flow
Customer message received
Mavrk plans the support flow
Contextual reply sent with next actions or escalation
What Mavrk includes

A support operating layer, not just a chat widget.

The platform is designed to connect customer channels, business context, actions, workflows, and human escalation into one operational system.

Channels

Start in WhatsApp, then extend into web chat, voice, and in-product support without forcing customers to learn a new workflow.

Knowledge

Ground every reply in the docs, policies, SOPs, FAQs, and pricing rules your team already uses to answer customers.

Actions

Move beyond answers with approved actions like rescheduling, routing, status updates, and operational follow-up tasks.

Workflows

Model multi-step support logic with approvals, exceptions, escalation paths, and specialist handoffs for more complex requests.

Team handoff

Bring in humans with the right context, history, and next step so edge cases stay controlled instead of chaotic.

Built to improve support, not replace it

Customers keep using the same channels they already trust. Mavrk adds the context, actions, and escalation logic behind the conversation.

Works in the channels you already run

Start in WhatsApp, web chat, phone, or your product, instead of forcing customers into a new support destination.

Answers with company context

Ground every answer in your FAQs, SOPs, pricing rules, policies, and support history instead of generic model guesses.

Resolves requests and escalates cleanly

Handle routine support work automatically, ask for approval when needed, and bring in a human without losing context.

How Mavrk Works

How Mavrk works

Customers reach you through WhatsApp, web chat, calls, or an embedded Mavrk widget in your product. Mavrk uses your company policies, knowledge, and workflows to answer accurately, take the right action, and escalate when needed.

What to understand in 15 seconds
A request comes in. Mavrk checks the right context. The customer gets an answer, an action, or the right handoff.
Existing channels
Grounded decisions
Clean handoff
Step 1
1. Customer asks for help
Support can start in whatever channel your customer already uses.
What the customer sees
“Can I move my booking to Friday afternoon?”
“My order still hasn’t arrived. Can you check?”
WhatsApp
Web chat
Phone
In-app Mavrk widget
Step 2
2. Mavrk decides what should happen
This is the moment generic chatbots usually fail.
How it works
Reads the request and identifies the intent
Pulls the right policy, FAQ, SOP, or customer record
Chooses whether to answer, act, ask for approval, or hand off
Why buyers care

The value is not “AI chat.” The value is support that follows company rules.

Step 3
3. Company context keeps it reliable
Mavrk answers from your business context, not model guesses.
What it uses
Policies and SOPs
FAQs and product docs
Booking, refund, and escalation rules
Step 4
4. The business gets a real outcome
The conversation gets resolved or lands with the right person.
What happens next
Answer instantly
Take action like booking or updating
Escalate safely when policy or confidence requires it
What this means for your team

Customers get help in the channels you already operate, while your team gets faster replies, more consistent support, and cleaner human handoff.

What better support looks like

A natural conversation
Useful from the first message
What is your refund policy for cancelled appointments?
Cancellations made more than 24 hours in advance receive a full refund. Inside 24 hours, we can offer a credit or reschedule depending on the booking type.
I need to speak to someone about an exception.
Why it works

It fits into the support experience you already run, then gets smarter with your business context.

Customers do not need a new portal or support destination. They keep using the channels they already know and get faster, more consistent help.

Your team adds the policies, docs, and workflows behind the scenes so support stays accurate and controlled as volume grows.

What is your refund policy for cancelled appointments?
Can I move my booking to Friday afternoon?
My order has not arrived yet. Can you help?
Expand over time

Start with one visible problem. Expand with proof.

Start where support demand is already visible, then add web, voice, specialists, workflows, approvals, and deeper operational coverage as the team gains confidence.

Secure & PrivateEnterprise-grade encryption on AWS
Instant to TryScan, send one message, and get useful help fast
Based in AustraliaLocal support, Australian data residency
Proof before expansion

Start with visible support work, then earn the right to automate more.

The first win is not abstract AI capability. It is handling real support demand with grounded answers, reliable actions, and cleaner escalation.

Scenario

Appointment changes

Customers can reschedule, ask policy questions, and request exceptions in the same conversation instead of bouncing between channels.

One thread, full context
Operations

Grounded answers at scale

Support teams keep policies and docs behind the scenes while Mavrk gives faster, more consistent answers across repeated requests.

Docs and rules stay in the loop
Escalation

Human handoff without reset

When a request needs judgment, Mavrk hands over with the conversation, business context, and recommended next action intact.

No restart for the customer

Start in minutes.
Grow into a fuller support operation over time.

Begin with the channel that already carries support demand, then expand into web, voice, knowledge, workflows, and team-wide operations when you are ready.

Resources

Find the details you need to plan, launch, and scale with confidence.

Explore the docs, setup steps, and architecture views to understand how Mavrk fits your support operation and what it takes to go live.

Docs

Review the product, setup paths, and feature details so you can understand how Mavrk fits your support workflow.

Read the docs

Setup guide

Walk through the getting-started flow for launching your first support channel and live experience.

View setup steps

Architecture

See how channels, knowledge, workflows, and team systems connect behind the scenes.

Explore architecture