AI implementation.
in your business.
From a specific task to a solution your team can use. We first assess the data, quality and cost. You then decide whether to launch.
Where should AI do the work?
Reviewing contracts, organising enquiries and preparing reports are different tasks. We select one process, its owner and examples of a correct result. We also consider ordinary automation and existing tools: a custom model is not always needed.
Discovery and decision
We map the current workflow, data sources, exceptions and supplier dependencies. We define what AI must not do.
Deliverables: A process map, priorities and cost assumptions.
A pilot with acceptance criteria
We test representative tasks, including incomplete documents and incorrect data. You evaluate accuracy, handling time and the cost per operation.
Deliverables: Pilot results and a decision: proceed, change direction or stop.
Launch and handover
We prepare user access, system connections, monitoring and failure handling. The team practises the agreed scenarios.
Deliverables: The agreed implementation, guidance, responsibilities and maintenance arrangements.
Success is measured within the process: handling time, corrections, data completeness or cost per case. We do not assume a percentage saving in advance.
Before we begin
Do we need a custom system immediately?
No. If configuration of an existing tool or a simple integration can solve the task, we consider that option. A custom system makes sense when the process, data and requirements justify it.
How should we prepare for the first conversation?
Choose a recurring task. Describe who performs it, which tools they use and what a correct result looks like. An anonymised example is enough; do not send credentials or confidential files through the form.
Does a pilot commit us to a full rollout?
We agree the scope and price of each stage before work begins. A pilot can support a rollout, further testing or stopping. Leaving your contact details does not start a paid service.
How do you plan implementation and running costs?
Full implementation projects start at PLN 10,000 net, with a price confirmed for the specific scope. We list licences, API usage, infrastructure and maintenance separately. A short review or workshop may have a smaller budget and its own defined scope.
What happens after launch?
We agree a process owner, monitoring signals, cost limits and incident reporting. Maintenance and further development terms are set out in the proposal or contract. Implementation does not imply indefinite maintenance.
Let’s define the first scope.
In the first conversation, we’ll discuss the goal, access requirements and what the proposal should cover.
Discuss AI implementation