Customer Service Agent that responds instantly, never sleeps

Resolve 80% of queries automatically—cut costs, boost CSAT, and scale support 24/7 without growing headcount

Customer Service Agent that responds instantly, never sleeps

Resolve 80% of queries automatically—cut costs, boost CSAT, and scale support 24/7 without growing headcount

Results we’ve delivered

27% drop

in support tickets in 8 weeks
by auto-responding to routine queries within 30 seconds & resolving 85% of requests without human escalation

4 hrs down to 2 mins

in response time in 13 weeks
by deploying AI agents to handle bookings, status updates, and FAQs instantly — 24/7

$340K saved

In annual support costs in 10 weeks
by reducing reliance on live agents while improving response speed

Here’s how our AI employees are better, faster, cheaper

Task Ai
output
Human output
Query response <30 seconds 24/7 via chat/email/voice 2–12 hours during business hours
Booking confirmation Instant auto-filled & confirmed 5–10 mins avg manual entry
Order / shipment status Live tracking pulled from system apis Manual lookup 5–10 mins per case
Faq & rate requests Instant pre-trained with policy data Requires escalation or lookup
Complaint triage Auto-classified & routed priority-based Manual sorting subject to backlog

What customer service functions do we manage?

Order tracking & status updates

Respond to customer inquiries with real-time tracking info, estimated delivery times, and delay alerts

Order & delivery issue resolution

Handle missing, delayed, or damaged shipment complaints — logging issues, escalating when needed and providing resolutions instantly

Document & proof requests

Instantly retrieve and send documents like PODs , invoices, or shipping manifests on request

KPI reporting

Pulling data from multiple systems, calculating metrics and delivering real-time dashboards and reports so you can track performance

3-step Onboarding process

Step 1 : Role specific training

We fine-tune output based on your feedback, by comparing actual results to targeted result.

Step 2 : Feedback

We fine-tune output based on your feedback, by comparing actual results to targeted result.

Step 3 : BAU

We continue to monitor performance, and provide on-going support

3-step Onboarding process

Step 1 : Role specific training

We reconstruct your current process using AI, decision intelligence and workflow automation.

Step 2 : Feedback

We fine-tune output based on your feedback, by comparing actual results to targeted result.

Step 3 : BAU

We continue to monitor performance, and provide on-going support

Here's a typical business case for investing in AI Employees

8% of revenue

is the avg. payroll cost of office staff

33% +

of daily tasks can be automated with AI

We perform daily office tasks 50% cheaper - allowing you to scale profitability and rapidly

For every 1 FTE transitioned to AI Employees you save ~$60K per annum

3 Months

to realise a P&L impact

Nil capex required

Here's a typical business case
for investing in AI Employees

8% of revenue

is the avg. payroll cost of office staff

33% +

of daily tasks can be automated with AI

We perform daily office tasks 50% cheaper - allowing you to scale profitability and rapidly

For every 1 FTE transitioned to AI Employees you save ~$60K per annum

3 Months

to realise a P&L impact

Nil capex required

required

Our Capabilities