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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?”

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.

Support Resolution Flow

How Mavrk handles a request without feeling risky

This is the diagram a serious buyer wants to see. It shows that Mavrk resolves simple work fast, executes policy-safe actions, and asks for help when it should.

1. A customer reaches out

A support request arrives through WhatsApp, web chat, your app, or a call.

2. Mavrk understands what they need

It identifies whether the request is a refund, booking change, order issue, escalation, or something else.

3. It checks the right business context

That can include policies, SOPs, customer history, permissions, and workflow rules.

Decision point

Can Mavrk resolve this safely, confidently, and within policy?

Yes

Not without oversight

If yes

Does this only need an answer, or should Mavrk act?

Low risk

4. Answer right away

For straightforward questions where the policy is clear and the answer is grounded.

Best for policy-covered answers that should feel instant to the customer.

Workflow action

5. Take the next action

Book, update, confirm, or follow up when the workflow allows Mavrk to act.

Best for cases where Mavrk should move work forward, not just reply.

If not

Is approval enough, or should a person step in now?

Controlled

6. Ask for approval

Refunds, exceptions, and sensitive changes stay supervised instead of running unchecked.

Best for situations where policy allows progress, but a person should still approve it.

Human handoff

7. Bring in a human

If confidence is low, the case is unusual, or the customer needs a person, Mavrk hands it over cleanly.

Best for edge cases where human judgment or empathy matters more than automation speed.

Why this matters

Mavrk is built to resolve straightforward requests quickly, follow policy when action is required, and bring in a human when the situation calls for judgment.

Access Model

What Mavrk can access, and what stays controlled

This should reassure a buyer immediately: broad support knowledge can be shared, specialist knowledge can stay restricted, and risky actions still require approval.

What gets loaded into Mavrk

Not every document belongs in the same bucket.

Shared support knowledge

Specialist-only knowledge

Restricted or sensitive

Who can use it

Different specialists can work from different context.

Support specialist

Billing specialist

Operations specialist

Human approver

What happens in practice

These rules are what make the system trustworthy.

Green: resolve automatically

Blue: route to specialist

Amber: require approval

What this means in practice

Mavrk gives each workflow and specialist the context it needs to be useful, while keeping sensitive access controlled and high-risk actions supervised.

Land And Expand

How Mavrk expands in a way that feels easy to buy

The rollout should feel obvious: start with one high-volume support channel, prove value quickly, then expand into actions, specialist coverage, and team-wide operating leverage.

What should feel obvious

Start narrow, prove value fast, then expand with confidence.

Faster launch

Clear proof

Controlled expansion

Step 1

Start with one support channel

Launch where volume already exists

Go live on WhatsApp, web chat, or your app

Relieve repetitive support volume quickly

Create proof without a heavy rollout

Step 2

Let Mavrk do the work

Move from answers to action

Handle bookings, updates, follow-ups, and routine tasks

Resolve more requests end to end

Reduce handoffs that slow the team down

Step 3

Add specialist coverage

Bring in billing, ops, and escalations

Route requests to the right workflow or specialist

Improve policy adherence across more cases

Keep escalation and oversight structured

Step 4

Roll it out across the team

Standardise support operations

Share workflows, approvals, and policies across teams

Make operations auditable and easier to govern

Create consistency without adding headcount at the same pace

What this means commercially

Mavrk does not need to be bought as a company-wide transformation on day one. Teams can start with one visible support problem, prove outcomes quickly, and expand into a broader operating layer with a rollout that still feels controlled.