(01)Automation & AI integration

We turn your manual work intoautonomous systemspowered by AI.

We connect your tools, remove repetitive work and deploy AI agents that run around the clock. No chaos, no extra software to babysit.

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We work with the tools you already use

OpenAIAnthropicMaken8nZapierSlackHubSpotNotionGoogle WorkspaceShopifySupabaseStripe
(02)Services

From a single automation to a complete AI ecosystem. We start where it slows you down the most.

(03)How we work

No months of project overhead. We work in short cycles and you see the first results within weeks.

  1. 01

    Audit & mapping

    We learn your processes and tools. We find where the most time and money leak out.

  2. 02

    Solution design

    We design the automation architecture and pick the tech. You approve a clear plan with an ROI estimate.

  3. 03

    Deployment

    We build and test in short iterations, then roll it safely into live operation.

  4. 04

    Optimization

    We watch the results, tune and scale. The system keeps learning with you.

(04)Results

Numbers that add up

0%

less manual work in automated processes

0×

faster handling of repetitive tasks

0/7

availability of AI assistants and agents

0 days

from audit to first deployment

Illustrative averages across automation and AI projects.

(05)Where we help

The areas where automation and AI deliver the most — the problems they solve and what they tend to bring. Not references, but a glimpse of what's possible.

E-commerceOrder & inventory automation

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.

−30 h / weekOrders, invoices and stock sync without human touch.
Typical toolsShopifyMakePohoda
Real estateAI assistant for lead qualification

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.

+42% leadsThe assistant answers prospects 24/7 and routes qualified contacts to agents.
Typical toolsOpenAIHubSpotTwilio
ServicesDocument processing with AI

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.

8× fasterInvoices and contracts are read, sorted and written to the system automatically.
Typical toolsAzure AIn8nSharePoint
ManufacturingPredictive inventory ordering

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.

−18% stock costInventory is ordered by real consumption, not guesswork.
Typical toolsPythonPower BIERP API
MarketingAI content creation & scheduling

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.

5× more outputOne brief turns into content for the website, newsletter and social.
Typical toolsClaudeMakeNotion
SupportAI customer support 24/7

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.

−60% ticketsMost questions are resolved with no wait; the team handles only what truly needs a human.
Typical toolsOpenAIIntercomMake
SalesLead to CRM with automatic follow-up

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.

0 lost leadsNo lead slips through and outreach happens on time, with no retyping.
Typical toolsHubSpotMakeSlack
FinanceAutomated invoice processing

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.

−25 h / monthInvoices are processed and booked with almost no manual work.
Typical toolsAzure AIn8nPohoda
HospitalityVoice AI for reservations

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.

0 missed callsNo missed calls; reservations land straight in the system 24/7.
Typical toolsVapiOpenAIMake
HRCV pre-screening

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.

−80% screeningDozens of CVs become a short list of the most relevant in minutes.
Typical toolsOpenAIMakeGoogle Workspace
ManufacturingPredictive machine maintenance

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.

−35% downtimeMaintenance is scheduled by machine condition, not after a failure.
Typical toolsPythonGrafanaMQTT
OperationsData sync across your apps

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.

−20 h / weekOne source of truth; no more copy-paste or mismatched systems.
Typical toolsMaken8nAirtable
(06)Why Lucorp

We don't look for reasons why it can't be done. We find the way to get further.

01

We start with ROI

First we calculate what the solution saves or earns you. Only then do we build.

02

We build on your tools

We don't reinvent your whole world. We connect to what already works.

03

We stay after launch

Automation isn't done at go-live. We watch, tune and scale with you.

04

No black boxes

You understand what runs. We document it and hand control to you.

Let's go

30 minutes, no strings attached. We go through your processes and tell you where AI and automation matter most.

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