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AI Business Systems & Automation

AI that removes work.
Not another dashboard.

Support, calls, sales and operations — automated inside the systems you already run.

operations · exception stream LIVE
ORDER_NOT_READY#48812 · collection in 2h 10m
AI_EVALUATES_CONTEXTorder · customer · flight
INFORMATION_MISSINGpassport number absent
CUSTOMER_CONTACTEDvoice agent · 41s
HUMAN_REQUESTEDwarm transfer · context passed
SYSTEM_UPDATEDreleased to fulfilment
RESOLVED0 min agent time
Illustrative interface
Voice agentcalling customer…
Exception clearedbefore the deadline

Systems we build and run in production

Delhi Duty FreeAirport travel retailHyderabad Duty FreeAirport travel retailHOIRetail & ecommercePricyEncOur own AI product

Deadline-bound retail operations where a dropped order is lost for good. Read how they were built.

01The day you already know

Somewhere in your business, today looked like this

08:52

Someone opens the shared inbox. Sixty-one messages.

Nine of them actually need a person. The other fifty-two are the same four questions.

Roughly 2 hours, every morning
11:20

A customer calls about the same order. For the third time.

Nobody logged the first two conversations, so they explain it again from the start.

The third call is the one you lose them on
15:47

An order has been stuck since Monday waiting on one detail.

Nobody told the customer. Nobody chased it. It surfaces as a complaint on Thursday.

Found by the customer, not by you
18:30

The team goes home. The enquiries do not.

Overnight messages and missed calls wait until morning — and some of them do not wait at all.

Demand you never see in a report

None of that is a people problem. It is work arriving faster than people can reach it.

See what it costs
02The number nobody has costed

Move two sliders. See your own figure.

Customer enquiries a month1,200
Minutes to handle one9
Share that is the same few questions55%

Addressable hours are the repetitive share discounted by 35% — automation rarely resolves all of an intent, and some contacts come back. The full model is published on the calculator.

64
hours a month sitting in work a system could do
0.4full-time roles of capacity, released back to your team
8working days a month, every month, forever
03The Tuesday it changes

Follow one order through a business that automated this

Order #48812. Nobody on the team touches it, and the customer never has to chase.

Order created
STEP 01

An order enters the system

Paid, and due against a deadline nobody controls.

STEP 02

Something goes off-track

The system sees it stall while the collection window closes in.

STEP 03

Context is gathered first

Order, customer, payment, stock and history — before anything is sent.

STEP 04

The customer is contacted

Message first. With hours left, a voice agent calls and collects the one missing detail.

STEP 05

The block clears itself

Written back to the order system, verified as resolved — or escalated to a person.

AI Voice Agents

The channel nobody has managed to scale

When a deadline is hours away, an email is the wrong instrument.

How voice agents work
Outbound · 00:41Illustrative
AgentThis is an automated assistant calling about order 48812. Am I speaking with the account holder?
CustomerYes, that's me.
AgentYour order is ready, but we can't release it without your passport number.
CustomerActually — can I speak to a person?
AgentOf course. Connecting you now, with the order details passed across.
Before / after

What actually changes

Before
Manual email triage every morning
The same customer calls three times
Systems reconciled by hand
Follow-ups lost in an inbox
No SLA visibility until someone reports
Out-of-hours contact waits
After
Classified and routed on arrival
Answered once, from live data
Connected workflows that write back
Every follow-up owned and escalated
Live SLA position per queue
Answered or triaged immediately
Integration

We meet your systems where they are

Automation lives or dies on data access — not on the model.

Magento 2ShopifyWooCommerceLaravelPythonNode.jsReactMySQLPostgreSQLMongoDBRedisHubSpotZohoSalesforceZendeskStripeRazorpaySIP telephonyLLM APIsSelf-hosted modelsAWSGoogle CloudDocker
Guardrails

AI when it can. Humans when it should.

The failure mode of automation isn't a wrong answer. It's a customer with no way out.

A person is always reachable

Asking for a human is an instruction, not an objection to handle.

Uncertainty escalates

Low confidence goes to a person instead of a plausible guess.

Money needs approval

Refunds and credits above your threshold wait for your people.

Actions are allow-listed

There is no general permission to act. Every action is defined.

Everything is auditable

What triggered it, what changed, who approved — months later.

Sentiment routes to people

Frustration and complaints reach a human immediately.

Give us one repetitive problem.

We'll show you how we'd automate it — and what stays human.