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Technology strategy & engineering

We build, automate and run
business systems.

Stratgik turns technology strategy into working systems — tailored software, AI automation, and the managed applications and cloud that keep it all running afterwards.

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

Strategy first. Technology that follows through.

Most businesses do not have a software problem

They have a process problem, a data problem, an integration problem, or an operational problem that has quietly outgrown the tools around it. Software is one of the ways to solve that. It is not the only one, and it is not always the cheapest.

So we start at the decision. What is this costing today, who is absorbing it, and what would have to change for it to stop? Sometimes the answer is to build. Sometimes it is to buy. Sometimes it is to connect two systems that already exist. Sometimes it is to remove the process entirely.

Strategy without execution becomes a presentation. Engineering without strategy becomes expensive. We do both, in that order.

How we approach a decision
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.

Build

Software built around the business

Off-the-shelf software works until your business stops behaving like everybody else’s. Then the compromises start costing more than the licence, and someone quietly invents a spreadsheet to hold the difference.

We build when a business has outgrown those compromises — not for the sake of building. Software should follow the workflow. The workflow should not be redesigned to satisfy the limits of a product.

Custom software

Customer & partner portals

Self-service for what customers currently phone about.

CRM and ERP workflows

The approvals, exceptions and reporting the core product never covered.

Ecommerce platforms

Commerce with real operational complexity behind it.

Operational and internal systems

The tools staff use all day — usually the biggest time saving.

Integrations and APIs

Systems exchanging data reliably, including when one is down.

Legacy modernization

Replacing what must be replaced, leaving alone what still works.

Run

We don’t disappear after go-live

Launching a system is not the end of the project. It is the beginning of its working life. The value of software is not measured on launch day — it is measured by what happens six months later.

Applications change

Dependencies age, libraries get deprecated, and small changes keep arriving.

APIs fail without warning

A supplier changes an endpoint and an integration stops. Silently, usually.

Traffic does not stay flat

Campaigns, seasons and growth find the ceiling nobody measured.

Patches arrive regardless

Security updates do not wait for a convenient sprint.

Backups need testing

An untested backup is a belief, not a control.

Someone has to own it

Production systems do not stay reliable by accident.

Tell us what isn't working.

One process, one system, one decision. We'll tell you how we'd approach it — and whether it needs building at all.

The Stratgik model

Strategy first. Technology that follows through.

Four stages, in order. Most businesses need them one at a time.