AI Automation
AI automation — less manual work, faster customer service and better use of your data
We implement practical AI automations that relieve your team of repetitive tasks: handling enquiries, classifying leads, preparing offers, analysing documents, creating summaries and working with company data. This is not about “trendy AI”, but about specific processes that can run faster, more cheaply and more predictably.
We create solutions tailored to your company: from a simple AI workflow to an extensive assistant connected to your CRM, store, email, knowledge base, forms, spreadsheets or internal systems.
- Customer service + enquiry classification
- Lead classification and scoring
- An AI assistant with the company knowledge base
- Generating draft offers and replies
- Human-in-the-loop control
- Monitoring AI costs and performance
AI is for you if
- you handle many similar customer enquiries every day
- your sales team spends a long time preparing offers
- leads from forms are not assessed quickly
- you have a lot of documents, manuals, policies or procedures
- employees manually copy data between systems
- you want to shorten response times without hiring more people
- you want greater control over your processes and service costs
- you use AI, but right now every employee does it “their own way”
What can AI realistically do in your company?
Five areas where AI supports a company practically — not as a trendy add-on, but as a tool that relieves the team.
Customer service
The AI analyses messages from customers, recognises the topic of the enquiry, assigns a priority, prepares a draft reply and hands it over for an employee’s approval.
Sales and leads
The system assesses enquiries from forms, classifies leads as cold, warm or hot, suggests the next steps and prepares initial offers.
Documents and company knowledge
The AI works on your documents, policies, manuals, PDFs, knowledge bases and procedures — finding information faster and answering the team’s questions.
Reports and data
The automation summarises reports, detects the most important information, creates overviews and helps you make decisions faster.
Marketing and content
The AI supports the creation of descriptions, offer drafts, sales messages, replies to customers, article outlines and communications consistent with your brand language.
What can an AI implementation cover?
Seven areas of work — from process analysis and workflow design, through assistant configuration, the knowledge base and integrations, to human control and monitoring.
Process analysis and automation selection
- handling email messages
- contact forms
- requests for quotes
- the customer service process
- the sales team’s work
- company documents
- integrations between systems
- data flow in a store or company
Benefit: We do not force AI in “just because” — we choose processes with real time savings or improvements in work quality.
AI workflow design
- where the system pulls data from
- what it should do with it
- when it should use AI
- where to save the result
- when human approval is needed
- handling errors and exceptions
Benefit: The automation is not a detached chatbot — it becomes part of the company’s normal work.
AI assistant configuration
- company instructions
- policies
- content from the website
- PDF documents
- price lists, service descriptions
- communication history
- ready-made reply templates
- customer service rules
Benefit: The assistant works according to the company’s knowledge and language, not general knowledge from the internet.
Integrations with company tools
- contact forms
- WordPress + WooCommerce
- CRM, BaseLinker
- Google Sheets, Drive
- Slack, Notion
- ERP systems
- APIs of external applications
Benefit: The AI works within your existing environment — without the need to change your processes.
Knowledge base and working with documents
- fast search within documents
- a chatbot for employees and customers
- analysis of policies and manuals
- document summaries
- answers only from an approved knowledge base
Benefit: Company knowledge is available faster and more consistently.
Human-in-the-loop (human control)
- customer service
- complaints
- sales offers
- legal / formal communication
- document analysis
- financial or sales decisions
Benefit: The company gains the speed of AI but keeps control over the quality of communication.
Cost and performance monitoring
- the number of workflows run
- the cost of using AI models
- integration errors
- response times
- the number of enquiries handled
- the effectiveness of lead classification
Benefit: You can control performance, API costs and the effectiveness of the automation.
Example AI automations
Concrete implementations that help companies genuinely relieve their team.
AI for handling email enquiries
The system analyses the message, recognises the topic, assigns a category, prepares a draft reply and hands it to an employee.
What you gain: Faster replies, less manual writing, greater consistency of communication.
AI for lead classification
It analyses enquiries from forms, assesses the sales potential and passes the best leads to a salesperson.
What you gain: A faster reaction to valuable enquiries, less time spent on weak leads.
AI for preparing offers
Based on a brief, a form or a conversation, the system prepares a draft offer and the structure of the message.
What you gain: A shorter time to create offers, better quality of sales communication.
AI chatbot with a knowledge base
It answers customers or employees based on approved documents, content and procedures.
What you gain: Fewer repetitive questions to the team, 24/7 support.
AI for summarising documents
It analyses documents, reports or messages and prepares concise summaries.
What you gain: Less time spent reading long documents, faster conclusions.
AI for e-commerce
Support for handling questions, complaints, returns, product descriptions and message classification.
What you gain: Faster customer service even with a higher number of orders.
Why isn’t a ChatGPT subscription enough on its own?
ChatGPT is a good tool for an individual employee, but it does not solve the problem of processes in a company. AI automation works differently — it is connected to the process.
| ChatGPT as a tool | AI automation as a system |
|---|---|
| An employee has to paste the data themselves | The system pulls data from the form, email or API itself |
| Everyone writes their prompt differently | The process works according to set rules |
| No integration with the CRM/store | A connection with CRM, WooCommerce, BaseLinker and spreadsheets is possible |
| The result has to be moved manually | The result can go straight into the system |
| Hard to control costs and quality | You can monitor usage, errors and costs |
| Good for individual tasks | Good for repetitive company processes |
AI automation packages
Three levels of scope — from a PoC to an extensive system with a knowledge base and integrations.
Start package
A PoC or a single AI automation
from PLN 3,000 net
For companies that want to test a single AI automation or prepare a simple PoC and check whether AI will actually help.
Who it is for
- the company wants to test AI
- a PoC before a larger implementation
- one process to automate
- validating an idea
Scope
- analysis of one process
- design of a simple workflow
- configuration of basic AI usage
- testing on examples
- basic documentation
- recommendations for further development
Business package
Several workflows + integrations
from PLN 8,000 net
For companies that want to implement several workflows and connect AI with the tools used in their daily work.
Who it is for
- the company wants to relieve customer service or sales
- several processes to automate
- integrations with existing tools
- wants to scale without adding people
Scope
- analysis of several processes
- 3–5 automation workflows
- integrations with selected systems
- AI assistant configuration
- testing and fixes
- documentation
- team training
- post-implementation support
Advanced package
An extensive AI system with a knowledge base
from PLN 15,000 net
For companies that need an extensive AI system with a knowledge base, a chatbot, integrations and greater control over their processes.
Who it is for
- the company treats AI as part of its infrastructure
- a larger scale of operations
- a knowledge base built from documents
- greater control over processes
Scope
- a process workshop
- solution architecture
- a chatbot or AI assistant
- a knowledge base built from documents
- integrations with company systems
- usage and cost monitoring
- human-in-the-loop
- technical documentation
- training
- post-implementation support
- a plan for further development
Prices are net — 23% VAT must be added. The cost of AI model APIs is billed separately based on usage.
How does the collaboration work?
Six stages — from a conversation about processes (not about AI), through a PoC and the architecture, to the rollout and ongoing development.
We talk about processes, not about AI
We establish where in the company the most manual work is repeated. We analyse customer enquiries, lead handling, documents, the team’s work and the places where data is re-keyed or lost.
Effect: We find the processes where automation will deliver real savings.
We choose the best use case
Not every automation has to be implemented at once. We usually start with a single process that is easy to test and delivers a quick effect.
Effect: We start with the solution that makes the most business sense.
We build a PoC (a test version)
We build the first version of the automation and test it on real data. You can see how the system works, where it needs adjustment and whether it really solves the problem.
Effect: We limit the risk and verify effectiveness before a full rollout.
We design the target architecture
After testing we prepare the blueprint: integrations, tools, AI models, where data is stored, the level of human control, monitoring and costs.
Effect: A solution that is stable to maintain and develop.
We roll it out in stages
We build the workflows, configure the AI, integrate the systems, test and refine. A staged rollout — with quality and safety control.
Effect: We launch the automation without chaos in daily work.
We train the team and develop further
We show how to use it, how to supervise AI responses, report corrections and extend the automation to further processes.
Effect: AI is not a one-off experiment, but a real, working tool.
Security and control
An AI implementation should be designed sensibly
Already at the design stage we establish which data can be processed, where it is sent, who has access to the results and which actions require human approval. We do not promise that AI will never make a mistake — we design the process so that the risk of error is controlled.
- using AI model APIs
- with a limited scope of the data sent
- with cost and log control
- with human approval before a reply is sent
- with a knowledge base built on approved documents
- with self-hosted solutions where it is justified
When does AI automation make the most sense?
AI works best when a process is repetitive, happens regularly and takes the team a lot of time.
- a repetitive process pattern
- it is based on messages, documents or data
- it requires classification, summarising or preparing a reply
- it does not require full AI autonomy
- it can be supervised by a human
- it has a measurable effect: time, cost, number of enquiries/offers
Frequently asked questions
How long does it take to implement AI automation?
Can AI automation work with my current system?
Can AI reply to customers automatically?
Can AI use my company documents?
Is it possible to calculate the return on an AI implementation?
Will AI replace an employee?
Is a ChatGPT subscription on its own enough?
Find out which processes in your company can be automated
You do not have to roll out a large AI system right away. We can start by analysing a single process and check whether automation makes business sense.
We will show you where AI can genuinely relieve the team, which integrations will be needed and which scope of implementation will be the most cost-effective.