PL

Less routine work. More control.

We implement assistants, RAG, private models, agentic workflows, automation and data systems connected to real business processes.

Let's talk about your business
Time

less repetitive work

Quality

consistent data and output control

Risk

restricted tools and audit trails

S.01From Rebrandy

Automate work you can evaluate.

We start with a specific task and the data your team uses. We combine rules, integrations and AI models where they reduce work without losing control over the result.

S.02What we clarify

Data. Task. Evaluation. Action.

The model should not decide everything. We define its role, information sources and access boundaries. Important decisions and uncertain results go to the responsible person.

  1. 01

    Data

    We prepare the information the task needs.

    We choose sources, check quality and define access. We organise documents and data before they enter the process.

    Do we have the basis for a correct answer?

  2. 02

    The role of AI

    The model gets a specific task.

    We choose the approach for classification, document extraction or knowledge work. Where a rule is enough, we use a rule.

    Where does the model actually help?

  3. 03

    Quality assessment

    We test results on real examples.

    We create a test set, analyse errors and define when to hand over to a human. We also measure time and cost.

    How will we know it works?

  4. 04

    Exception handling

    The process knows when to stop.

    We design approvals, logs and a return to manual handling. We agree on responsibility for results and configuration changes.

    What will we do with an uncertain result?

S.03What you receive

From an example to a proven process.

Before building, we agree on test materials, quality criteria and operating costs. The pilot then answers whether the solution is worth rolling out more widely.

01

Automation map

A chosen process with a business case.

  • Assessment of tasks and data
  • Priorities based on value and risk
  • Quality and cost criteria
Example outcome

Process / time / data / risk

You know which task is worth starting with.

02

A pilot using company data

A trial before a larger investment.

  • A limited operating scenario
  • A set of test examples
  • Results and error analysis
Example outcome

Prototype / tests / recommendation

You can decide on implementation based on a trial.

03

Automation or assistant

A process connected to your team's tools.

  • Knowledge sources and integrations
  • Rules and approval points
  • Exception handling
Example outcome

Document / analysis / approval / record

The task reaches the right system or person.

04

Operational control

Visibility into quality and costs after launch.

  • Monitoring of completed tasks
  • Tests after model or data changes
  • Operating and shutdown instructions
Example outcome

Logs / costs / quality samples

Your team can assess the result and take over the task.

We show model, tool and infrastructure costs separately. Data processing and the solution's level of autonomy need to be agreed for the specific process.

Every tool has a specific job.

We choose tools to suit the scope and available data.

OpenAI

Models for analysis and working with text and data.

Microsoft

Automating work with company documents and services.

GitHub

Version control for workflows and testing changes.

S.04How we work

Every stage ends with a decision.

You know what we are working on, when we need your input and what moves to the next stage. The schedule follows the agreed scope.

  1. 01

    Choosing the task

    We compare time spent, available data and the consequences of errors.

    Your involvement

    You identify the process and its owner.

    Stage outcome

    A pilot objective and evaluation criteria.

  2. 02

    Data preparation

    We agree on sources, access and examples of correct results.

    Your involvement

    You provide representative materials.

    Stage outcome

    A dataset and test scenarios.

  3. 03

    Pilot

    We build a limited flow and compare results against the criteria.

    Your involvement

    You assess quality using examples from your work.

    Stage outcome

    A decision on further implementation.

  4. 04

    Integration

    We connect the solution to tools and approval points.

    Your involvement

    You test exception handling.

    Stage outcome

    A process ready for a controlled launch.

  5. 05

    Oversight

    We check quality, costs and the impact of data or model changes.

    Your involvement

    You share incorrect and unusual cases.

    Stage outcome

    Improvements and decisions on extending the scope.

S.05 / WorkEvidence over promises

Case study / AI, automation and data

See what changedafter the work was delivered.

All Rebrandy projects

There are no published case studies in this language yet.

The full catalogue remains available on the work page.

S.06Client reviews

Clients tested us in practice. Here is what they said.

Google rating
4,8/ 5
Rating 4.8 out of 5
View all
Google Ads and SEO
„Within the first few days of working together, there was a clear increase in email enquiries and phone calls. […] Highly recommended.”
Ongoing partnership
„Highly recommended! Professional and comprehensive service, with care and support after delivery, and excellent communication. We have already worked with them three times, and we have been satisfied every single time.”
Commitment
„A fantastic company and fantastic people. Their complete commitment, combined with outstanding expertise and an exceptionally attractive price-to-value ratio, creates an ideal model of business cooperation built on trust and a thorough understanding of the client’s needs. Highly recommended.”
On-time delivery
„Excellent! On time, inventive and modern!!! You can really feel the team spirit, commitment and passion for their work. Highly recommended!!!!”
Branding and web
„This is certainly an agency that exceeded my expectations. They created a modern, functional website for me and developed a complete branding package, including a name and logo that perfectly capture the character of my brand. Their professionalism, creativity and attention to detail made the entire collaboration seamless and completely satisfying. Highly recommended!”
Quality of delivery
„We are just wrapping up the project. The collaboration and delivery exceeded expectations. Chlapaki are raising the bar significantly in the industry — and I am saying this based on my previous experience. I recommend them here and privately, with complete confidence 💪💪💪”
Trust
„A very helpful company for anyone who wants to succeed in their business. At this point, I do not know anyone better. Highly recommended.”
Performance
„I am very satisfied with Rebrandy’s marketing services! A professional approach, creative campaigns and a significant increase in customer engagement in a short time. The team is flexible and open to suggestions, and working with them is a genuine pleasure. Highly recommended! 😊”
Web and support
„Complete professionalism and comprehensive website delivery. They guided us through every stage, provided advice and training, and prepared a clear and transparent proposal. Support at every stage, updates and ongoing website maintenance. The team’s experts are always available when questions or problems arise. Highly recommended!”
Direct and effective
„A company worth recommending. Fast, professional and very effective in their work.”
Post-launch support
„Working with Rebrandy has been a genuine pleasure, with full consultation at every stage. The delivery was highly professional, and every one of our suggestions was taken into account. Throughout the implementation and afterwards, we felt well looked after. Every question was answered, and we also received additional guidance. The final result is excellent! On top of that, the atmosphere throughout the entire collaboration was great. Highly recommended. Thank you, Mr Michał, and the entire team.”
Communication
„Working with the company is clear and pleasant. Everything is delivered on time, and communication is effortless. All of my suggestions were discussed together to achieve a satisfying result.”
Service
„Professional service, highly recommended!!!”
Partnership
„We started working together recently, and so far it is going well, smoothly and productively. Keep it up. Thanks, Michał.”
Commitment
„Although the work is still ongoing, we can already say that the Rebrandy team’s professionalism and commitment have exceeded our expectations.”
On-time delivery
„Communication with the team was excellent from the start, and the project itself was completed sooner than originally planned.”
Website delivery
„Excellent communication, openness to suggestions and on-time delivery. The final result exceeded our expectations, and the website runs quickly and looks professional.”
Website
„The agency created a modern, functional website for us that perfectly reflects our company’s character.”
Quality of delivery
„Complete professionalism, attention to detail, great taste (thank you, gentlemen, your work exceeded my expectations), advice and support.”
Website
„Recommended. The new Spysearch website looks impressive. Now we just have to wait for the results.”
Efficient delivery
„Great collaboration — reliable, fast and to the point!”
Website
„The Rebrandy team built a new website for us.”
S.07Before we work together

What to agree on at the start.

The scope should fit your business needs, available data and capacity to implement. These questions help define the project's boundaries.

01Do we need our own AI model?

We usually test existing models and simpler approaches first. A custom model makes sense only when justified by the data, costs or requirements.

02Does company data go to external services?

That depends on the chosen architecture. Before implementation, we agree on providers, the data being shared, access rules and processing terms.

03Can AI make mistakes?

Yes. That is why we define tests, quality checks and cases requiring human approval. We do not base a critical process solely on the model's stated confidence.

04Can we start with a small pilot?

Yes. We limit it to a specific task and an agreed dataset. The result helps assess the value and scope of further investment.

05How do we measure the return?

We compare handling time, output quality and running costs, including the time people spend checking results and correcting errors.

06What if the model or data source changes?

We run the agreed tests again. The maintenance scope covers updates, cost control and restoring the previous behaviour.

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S.08 / ContactEnquiry / AI, automation and data

Your team loses time on work that is repetitive, measurable and data-driven?

Show us the process. We will assess what to automate with rules, where AI adds value and which decisions should remain with people.

  1. 1Conversation scopeCurrent step
  2. 2Context
  3. 3Budget and timing
  4. 4Contact

We respond with a concrete recommendation by the end of the next business day.

Step 1 / 4

Which capability area should the conversation cover?