Home

About

Product

Blog

Case Studies

Connect with us

The agent that closes the loop

It understands what the customer needs, verifies who they are, does the work inside your systems, and confirms it back. The conversation ends because the problem ended.

See it work

80%+ of frontline queries automated. Under 60s average response · Native Arabic and English, 20+ languages

WHY AWX

One agent the whole job

Most AI support projects begin with months of writing scripts, mapping flows, and arguing about tone. AWX begins with work your team has already done.

Understands the request

Works out what the customer actually needs, even when they describe it badly.

Understands the request

Works out what the customer actually needs, even when they describe it badly.

Verifies who they are

Every sensitive action is gated behind identity verification. Nothing moves, refunds included, until the customer is confirmed. The verification method follows your existing security protocol rather than replacing it.

Acts inside your systems

Connected to your core stack, AWX completes the transaction rather than describing it. Refunds, card blocks, policy changes, booking amendments. More on Actions

Acts inside your systems

Connected to your core stack, AWX completes the transaction rather than describing it. Refunds, card blocks, policy changes, booking amendments. More on Actions

Confirms and logs

The customer gets told what happened. Your audit trail gets what was done, for whom, on what authority, and why.

Confirms and logs

The customer gets told what happened. Your audit trail gets what was done, for whom, on what authority, and why.

Trained on your own history

Most AI support projects begin with months of writing scripts, mapping flows, and arguing about tone. AWX begins with work your team has already done.

No scripting phase

You are not building a decision tree. The behaviour comes from your history, not from a flowchart someone has to maintain.

Your tone, not a generic one

The agent sounds like your team because it learned from your team, not from a model's idea of what customer service sounds like.

Edge cases included

The unusual cases are the ones scripts always miss and inboxes always contain. That is the point of learning from the record instead of the manual.

Edge cases included

The unusual cases are the ones scripts always miss and inboxes always contain. That is the point of learning from the record instead of the manual.

Improves as you go

Every resolved conversation adds to what the agent knows.

Improves as you go

Every resolved conversation adds to what the agent knows.

Grounded never guessed

AWX answers from your policies, your systems, and your knowledge base. When it does not know, it says so and hands off. It does not improvise, and it does not invent policy to fill a gap. An agent that confidently makes something up is worse than no agent at all, and in a bank or an insurer it is a compliance incident rather than a bad review.

Frequently Asked Questions

Is this just a chatbot with better marketing?

How long before it knows our business?

What happens when it does not know?

Will it replace our agents?

Can we control what it is allowed to do?

How do you prevent wrong or off-brand answers?

How long before it knows our business?

What happens when it does not know?

Will it replace our agents?

Can we control what it is allowed to do?

See it answer your own tickets

Point AWX at your support history and watch it handle real volume.

Book a walkthrough

Frequently Asked Questions

Is this just a chatbot with better marketing?

How long before it knows our business?

What happens when it does not know?

Will it replace our agents?

Can we control what it is allowed to do?

Home

About

Product

Blog

Case Studies

Connect with us

Home

About

Product

Blog

Case Studies

Connect with us