This isn't a portfolio of finished work — we're a new studio building our first solutions right now. These are the areas where automation and AI deliver the most: the problems they solve and what they can bring.
Problem
Orders were re-typed by hand between the store, warehouse and accounting — hours a day and stock errors.
What can be automated
An automation layer connects the store, warehouse and invoicing — a new order runs the whole chain itself.
Problem
Agents couldn't reply to portal enquiries in time — good leads went cold before anyone called.
What can be automated
An AI assistant replies instantly, asks qualifying questions and routes hot contacts to an agent.
Problem
Invoices and contracts arrived as PDFs and emails — someone had to re-type them into the system.
What can be automated
AI reads the documents, extracts the data, checks it and writes it to the system. People handle only exceptions.
Problem
Stock was replenished by guesswork — sometimes a surplus, sometimes a shortage and a halted line.
What can be automated
A model predicts consumption from historical data and orders, and suggests what to order, when and how much.
Problem
A small team couldn't produce content for every channel consistently and at enough volume.
What can be automated
A pipeline where AI drafts to the brand voice, the team approves, and the system schedules and publishes.
Problem
Customers write after hours and on weekends and the team drowns in repetitive questions — replies lag.
What can be automated
An AI assistant on the website and chat answers common questions instantly, 24/7, and hands the rest to a person with context.
Problem
Enquiries arrive from forms, emails and social — some slip through and follow-up is done by hand.
What can be automated
Every lead lands in the CRM automatically, gets enriched and triggers a scheduled follow-up sequence.
Problem
Incoming invoices arrive as PDFs and emails — someone retypes them into accounting and matches them by hand.
What can be automated
AI reads the invoice, extracts amounts and vendor, checks it and writes it to the accounting system; people handle exceptions.
Problem
Staff can't answer the phone during the rush — reservations and orders are lost.
What can be automated
A voice AI answers the call, books a table or slot and sends confirmation to the system and the guest.
Problem
A job ad brings a hundred CVs — manual screening takes days and good candidates go cold.
What can be automated
AI scores and ranks candidates against your criteria, summarizes profiles and schedules interviews for the best.
Problem
Machines fail without warning — unplanned downtime costs production and money.
What can be automated
A model watches sensor data and flags anomalies before a breakdown, with a service suggestion.
Problem
The same data is retyped between the store, CRM, accounting and spreadsheets — and never matches.
What can be automated
An automation layer connects the apps so data flows between them by itself and stays consistent.
Problem
Orders were re-typed by hand between the store, warehouse and accounting — hours a day and stock errors.
What can be automated
An automation layer connects the store, warehouse and invoicing — a new order runs the whole chain itself.
Problem
Agents couldn't reply to portal enquiries in time — good leads went cold before anyone called.
What can be automated
An AI assistant replies instantly, asks qualifying questions and routes hot contacts to an agent.
Problem
Invoices and contracts arrived as PDFs and emails — someone had to re-type them into the system.
What can be automated
AI reads the documents, extracts the data, checks it and writes it to the system. People handle only exceptions.
Problem
Stock was replenished by guesswork — sometimes a surplus, sometimes a shortage and a halted line.
What can be automated
A model predicts consumption from historical data and orders, and suggests what to order, when and how much.
Problem
A small team couldn't produce content for every channel consistently and at enough volume.
What can be automated
A pipeline where AI drafts to the brand voice, the team approves, and the system schedules and publishes.
Problem
Customers write after hours and on weekends and the team drowns in repetitive questions — replies lag.
What can be automated
An AI assistant on the website and chat answers common questions instantly, 24/7, and hands the rest to a person with context.
Problem
Enquiries arrive from forms, emails and social — some slip through and follow-up is done by hand.
What can be automated
Every lead lands in the CRM automatically, gets enriched and triggers a scheduled follow-up sequence.
Problem
Incoming invoices arrive as PDFs and emails — someone retypes them into accounting and matches them by hand.
What can be automated
AI reads the invoice, extracts amounts and vendor, checks it and writes it to the accounting system; people handle exceptions.
Problem
Staff can't answer the phone during the rush — reservations and orders are lost.
What can be automated
A voice AI answers the call, books a table or slot and sends confirmation to the system and the guest.
Problem
A job ad brings a hundred CVs — manual screening takes days and good candidates go cold.
What can be automated
AI scores and ranks candidates against your criteria, summarizes profiles and schedules interviews for the best.
Problem
Machines fail without warning — unplanned downtime costs production and money.
What can be automated
A model watches sensor data and flags anomalies before a breakdown, with a service suggestion.
Problem
The same data is retyped between the store, CRM, accounting and spreadsheets — and never matches.
What can be automated
An automation layer connects the apps so data flows between them by itself and stays consistent.
30 minutes, no strings attached. We go through your processes and tell you where AI and automation matter most.