03AI
AI implementations and R&D projects for business
Voice and chat agents, custom language models, process automation, and generative assets. We integrate into the systems you already use, while all decisions stay on your side.
What we do
AI systems integrated into your processes
We build customer service agents, document and inquiry workflows, data analytics, and local language models. We also run our own R&D projects.
We integrate the APIs and platforms you work on. The system takes over repetitive tasks, while a member of your team approves what goes next. We measure how much time returns to the team using your data before and after deployment.
Connections and APIs
We connect language models with your CRM, store, and SaaS software. When a system lacks an API, we build an intermediary layer.
Data analytics
Analysis of large market datasets, customer behavior forecasts, and machine learning that predicts production flow.
Digital representatives
An AI video avatar with your likeness and cloned voice responds on landing pages. Always with written consent of the person and clearly labeled as AI.
Where companies start
First-line agent and knowledge base
AI agents for chat and phone
They answer based on your documentation and close 30–60% of repetitive inquiries in our implementations. They transfer the rest to an agent with the conversation log.
View deploymentCompany knowledge base
Chat replies with a quote from the procedure and a file link. Users without access to a corporate drive folder receive no answers from it.
View deployment
Next step
Let us start with a single process
During the workshop, we select the process with the highest ROI. From workshop to production-ready version usually takes 4–8 weeks.
Questions and answers
Frequently asked questions
Where does an AI implementation in a company start?
With a workshop where we map processes and select the one with the highest return. Only after that do we propose the scope, timeline, and budget, not the other way around.
How long does it take to launch the first working solution?
Usually 4–8 weeks from the workshop to a production-ready version. We develop advanced agentic systems in stages so that each stage delivers a measurable result.
Does company data go to third-party model providers?
Only if the client decides to do so. For sensitive data, we run models locally on the client's infrastructure. In that case, nothing leaves their network. This is a separate service: local LLM server.
Do you integrate with the systems we already use?
Yes. We connect via API to CRM, ERP, email, messengers, and document databases as standard. When a system lacks an API, we build an intermediary layer.
Who maintains the system after deployment?
We provide documentation and train the client's team, while offering maintenance with monitoring and development in parallel. The choice belongs to the client; it is not a requirement for implementation.
What budget do AI projects start from?
Automation of a single process starts from a dozen or so thousand PLN. We quote advanced agentic systems after the workshop. We always provide a price range before starting work.
Ready deployments
Solutions in this area
- First line of supportAI agents for chat and phoneA large share of support tickets are repeated questions about order status, invoices, and delivery times. An AI agent answers them directly from your documentation, resolving 30–60% of such inquiries in our deployments. It routes the rest to a human agent along with full conversation context.View deployment
- Sales team supportSales process automationInquiries arrive via form, email, and phone, while responses are sent only when someone has a free moment. We structure this into a single stream: the system organizes tickets and drafts a response, the sales rep approves and sends it.View deployment
- Hardware in your server roomOn-premise server knowledge base (RAG)Search contracts, technical documentation, and correspondence via chat when company policy prohibits sending them to the cloud. The model and index run in your rack cabinet. A single machine handles 5 to 20 concurrent simple queries within a 100 to 1,000 ms window. An additional server doubles that capacity.View deployment
- On-premise AI hardwareLocal AI server (Blackwell, 128 GB)Sending company documents to an external API can be unacceptable legally or simply out of caution. We deploy an on-premises machine with 128 GB GPU memory running open-source language models with no cloud connection.View deployment
- Email under controlAI assistant for corporate emailA company inbox can receive hundreds of messages a day, while only a dozen require decisions. The assistant organizes them by case, attaches previous correspondence, and leaves a draft for review. In our implementations, sales reps typically reclaim 40–90 minutes a day.View deployment
- Legal workflow supportAI contract analysis before signingA 40-page contract usually contains 5 clauses that pose real risks. The system locates them and displays paragraph numbers so the lawyer or responsible person can focus on what matters first.View deployment
No-obligation call
Schedule a workshop with Paul
Thirty minutes or a full workshop, choose what suits you. Book a slot directly in the calendar and get instant confirmation.
Paul Lazniak
HEXART Founder
- Meeting always with the same person
- 30 min · 90 min · 15 min
- biuro@hexart.pl
- +48 662 016 430
Contact
Let us talk about your project
We will show you a working product before we start talking about it. Let us know what you need: a film, an XR environment, an AI system, or brand identity.
Write or call
A few sentences are enough: what needs to be created, by when and for whom.
- biuro@hexart.pl
- Phone
- +48 662 016 430
- Address
- Aleja Zwycięstwa 96/98, 81-451 Gdynia