We deploy AI in medium-sized companies and large enterprises
We connect data from systems, documents, messages and other sources so teams understand the situation faster, catch deviations and make better decisions. We build solutions tailored to the company's processes, without replacing its core systems, with human control where the result matters.
Within one working day, we will send three questions about the process and propose a 45-minute call. We will prepare the first-stage outline after that call.
How it works
The AI layer connects the data needed in production, warehousing, finance and document workflows. We put it into operation once, then add further processes stage by stage at an agreed pace.
The uruchom.ai layer brings together the data from ERP, email and documents needed for a particular case and operates in read-only mode from the outset. A person on the company's side makes decisions with real consequences.
People
a person on the company's side makes the decisions
The uruchom.ai layer
reads data from ERP, email and documents
Company systems
continue working as before, unchanged
USE CASES
Different sectors have different data and workflows. The underlying problem is often similar: the information needed for one decision is spread across systems, documents and messages. uruchom.ai brings that context together around the process.
Illustrative use case
Connect field, machinery, weather and treatment-record data to identify areas that need attention sooner.
Illustrative use case
Assemble the information needed to administer referrals, appointments and medical records.
Illustrative use case
Connect order status, shipment position, warehouse stock and carrier communications.
Illustrative use case
Bring together production orders, machine alarms, quality measurements and maintenance history.
Illustrative use case
Connect alarms, access control, monitoring and security reports into one event timeline.
Illustrative use case
Connect equipment telemetry, alarms, service orders and failure history around a specific asset.
MORE
Not every useful process fits a sector label. uruchom.ai is built around a process and its data, not a fixed industry package. The same approach can extend to procurement, finance, customer service, compliance or document-heavy workflows. Start with one repeated process and one measurable outcome. Add the next when the first proves its value.
Public market examples
These are public examples of AI in use. They are not uruchom.ai client results; each description links to a source published by the organisation or the solution provider. Names and trade marks belong to their respective owners.
Vodafone
In Portugal, SuperTOBi, Vodafone's AI customer-service assistant, raised first-time resolution when booking appointments from 15% to 60%. NPS, the customer loyalty index, rose by 14 points in the online channel to 64.
Vodafone published 4 July 2024
up to 7 hours
saved on a single contract analysis
30% less contract review timeA&O Shearman / Harvey
Around 2,000 lawyers use ContractMatrix every day. Harvey reports a 30% reduction in contract review time and savings of up to 7 hours on a single analysis.
Harvey / A&O Shearman accessed 10 July 2026
over 1.5 million
documents processed per quarter
Bank Pekao
The przeczytAI system reads and classifies banking documents, then extracts data from them. The bank reports processing more than 1.5 million documents per quarter.
Bank Pekao published 30 April 2025
over EUR 200 million
saved through AI initiatives in 2024
nearly 15,000 employees in 2 monthsSantander
Santander reports that its AI initiatives delivered more than EUR 200 million in savings in 2024. The bank also made ChatGPT Enterprise available to nearly 15,000 employees within two months.
Santander accessed 3 August 2026
around 12,000
claims verified each year after the first deployment phase
in undisputed cases: payout the day after filingPZU
Samoobsługa NEXT, PZU's self-service channel, uses generative AI (GenAI) for straightforward, relatively low-value claims in selected PZU Dom insurance categories. After the first deployment phase, PZU expects to verify around 12,000 claims a year. In undisputed cases, the customer receives the payout as soon as the day after filing.
PZU published 3 February 2025
We describe the whole engagement model, stage by stage, in What working with uruchom.ai looks like.
Data access
Before discussing a deployment, the IT department will usually ask what the system will do with the company's data. The access rules are set out below, point by point. This page can be sent to the IT department before the first conversation with us.
The source data, decision register and process design, meaning the written way in which a case is handled, stay with the company.
01
The layer reads data and changes nothing. No business record is added and no field is changed. The agreement obliges us to record every query the layer makes in a log the company can access. Whether the source system also records the reads in its own logs depends on its settings. Write access is considered only after the first stage and once agreed with the company.
02
The layer gets technical access that allows it to retrieve data but not to change it. This can be an account with read permissions, a database view, a scheduled export or a mailbox that receives copies of documents. The company's IT department chooses the form.
03
We agree the read scope with the IT department field by field. Every field must be needed for a specific task. If we cannot explain why a column is needed, we leave it out of scope.
04
The retrieved data goes to an AI environment under our control, dedicated to a single company. Where data is sensitive, the AI layer can run on a device in the company's network. We describe how that works below, under the third option.
On working from a device inside the company: Local AI, 16 July 2026.
For IT and procurement
The company chooses the deployment option together with its IT department. These answers can be passed on without us present.
Default option
The AI environment stays under our control and is dedicated to your company alone. We look after its configuration, maintenance and safe operation.
Second option
The layer runs in the company's cloud or data centre where its data policy requires it.
Third option
The layer runs on a device inside the company's network and processes data there. The device works without a permanent connection to an external network. More demanding tasks take longer, and a higher volume of cases may require another device.
Under no option is client data used to train models — we design the system that way.
Current information on data processing: Privacy notice. A summary of the architecture and access model for IT: technical note (PDF).
Team
A team on our side is responsible for each implementation. It agrees the scope with the IT department, makes sure measurement is in place and manages the work throughout the stage. During this time, the company has one point of contact. The uruchom.ai team builds and operates the AI layer, understands its impact on the profit and loss account and creates the necessary tools itself.
Dawid is a systems engineer. He has spent nine years developing software for high-reliability systems. His day-to-day work includes building and maintaining AI tools, including systems that perform a sequence of tasks according to an agreed plan.
LinkedIn profile
Alexandre has spent more than twelve years developing software for high-performance computing and leading research and development work. He focuses on connecting AI with company systems.
LinkedIn profileBlog
Contact
Tell us what your company does and which task takes your team the most time.
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Providing the data is voluntary, but both required fields are needed for us to reply: without an email address and the message itself, a reply is not possible. We delete correspondence 12 months after the last message. If the conversation leads to an engagement, we retain the data for the duration of the contract and for the period required by accounting and tax law.
You have the right to access, rectify and erase your data, to restrict its processing, and to lodge a complaint with the President of the Polish Data Protection Authority. The full notice, including the list of providers and transfers outside the EEA, is in the Privacy notice.
You can object to our processing of your data at any time. An email to kontakt@uruchom.ai is enough. We will then stop, unless we can demonstrate compelling legitimate grounds which override your interests and rights.
Within one working day, we will send three questions about the process and propose a 45-minute call. We will prepare the first-stage outline after that call.
You can also review our backgrounds on LinkedIn: Dawid Juc Alexandre Matwiszyn
