AI Solutions

AI solutions for business that save time

We deploy AI where it actually saves hours: a chatbot that answers customers, AI automation for email and documents, or an internal assistant on top of your data.

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Where AI helps most

Answering common customer questions

Sorting emails and drafting replies

Extracting data from invoices and documents

Internal assistant for company knowledge

Content and document preparation

When AI pays off

AI isn't the goal. It makes sense where people repeatedly work with text, questions or documents.

Same questions again

Your team keeps answering questions about prices, availability or procedures.

Overflowing inbox

Hundreds of emails to sort and forward to the right person.

Lots of documents

Invoices, contracts or orders retyped by hand.

Knowledge in people's heads

New hires take long to onboard because information is scattered.

What we build with AI

Practical solutions with measurable benefit – no buzzwords.

Website AI chatbot

Answers from your materials, collects leads and hands complex questions to a human.

AI automation

AI inside your workflows: sorts emails, summarises, translates and drafts replies.

Document processing

Extract data from invoices, orders and forms straight into your systems.

Internal AI assistant

Answers colleagues' questions from policies, price lists and documentation.

AI for content

Faster drafting of copy and product descriptions – with human review.

Training and consulting

We teach your team to use AI tools effectively and safely.

How we deploy AI

We start with a small pilot that quickly shows whether AI adds value.

Use case

The task with the biggest time saving and a clear success metric.

1 week

Pilot

Working prototype on real data, tested with your team.

2–4 weeks

Deployment

Integration, security and training.

2–4 weeks

Tuning

Accuracy review and continuous improvement.

Ongoing

AI in practice

AI solutions with measurable benefit

We deploy AI where companies lose time on repetitive text work: answering questions, sorting emails, retyping documents or searching for information. We build chatbots, AI automations and internal assistants on Anthropic's Claude and OpenAI models and connect them to the tools you already use. We always start with a small pilot.

What AI automation is

Classic automation follows fixed rules. AI automation handles tasks where rules can't be written – it understands an email, recognises a complaint, extracts the order number and drafts a reply for approval. We usually combine it with standard process automation.

Where not to use AI

We don't recommend AI where mistakes are high-risk without human review, where volumes are too small to pay off, or where simple rules are enough. We'd rather tell you that you don't need AI than sell something without value.

Data security and GDPR

We only send company data through business APIs where the provider doesn't use it to train models. Access is role-based, sensitive data can be anonymised and the whole solution is designed in line with GDPR.

Process automation

Connecting the tools AI builds on.

Web applications

When AI needs its own interface.

Email marketing

Automated, personalised email flows.

What our clients say

Feedback from companies we've built digital solutions with.

"Spolupráce s Weboptim byla jedna z nejlepších zkušeností, co jsem měla. Od začátku skvělá komunikace, pochopení mé vize a ochota doladit každý detail přesně podle mých představ."

Jitka Jakimeczková

"Spolupráce s panem Gáboríkem a jeho týmem fungovala skvěle, vše jsme si vyjasnili, nastavili a finální cena odpovídala té dohodnuté."

Martin Vokálek

EUROPEUM

"Profesionálny prístup, výborná komunikácia a krásny výsledok. Určite odporúčam!"

Anna Sidlovská

AI Solutions FAQ

What companies ask before deploying AI.

It depends on the task and integrations. We start with a fixed-price pilot to prove the value. Running AI models is billed by usage and for typical business volumes costs tens of euros per month.

We configure it to answer only from your verified materials and to hand over to a human when it doesn't know. We test it on real questions before launch.

We use business APIs where the provider doesn't train on your data, with role-based access and optional anonymisation, designed in line with GDPR.

A pilot usually runs on real data within 2–4 weeks. Then we decide whether to scale, adjust or stop.

No. We design, deploy, train your team and handle operation. We just need someone who knows the process.

Regular automation follows fixed rules; AI handles unstructured text. They work best together.

Where would AI save you the most time?

We'll review your processes and propose a pilot with a clear success metric. If AI doesn't make sense, we'll tell you.

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