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Background and objective
We determine what process is to be ordered and what effect should be visible after the first stage.
Service package
AI implementation for a company
We build an AI assistant, company knowledge base and safe usage rules for the team.
What do you gain from this package?
The AI package for the company allows you to implement an assistant that actually helps at work and is not just an experiment. We set rules, data range and method of use so that the team can safely use the AI.
What is the technical implementation like?
We prepare system instructions, knowledge base, RAG, source control, response tests, integration with documents and security rules. The implementation can work in the panel, on the site or internal tool.
Scope of package
AI assistantCompany knowledge baseInstructions and promptsDocument integrationSafety rulesEmployee training
Who is it for?
For companies that want to use AI in controlled operational work.
The package is to be a stage, an uncontrolled project.
Before launch, we specify the priority, input data, process owner, integrations and acceptance criteria. Thanks to this, the implementation of AI in the company can be carried out as a specific stage with a clear scope, tests and a decision on further expansion.
Package Process
How are we doing this stage?
The package organizes cooperation: from diagnosis and input data to implementation, tests, transfer to the team and decision on the next step.
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Data and systems
We check data sources, tools, integrations, technical limitations and places that require human control.
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Implementation and tests
We configure or build a solution, test scenarios and prepare a work manual for the team.
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Development decision
After the start we evaluate results, errors, feedback users and plan the next safe phase.
Preparing for take-off
What do we do before the package moves productively?
Good implementation begins with clear input data, process owner and reception criteria. This leaves the package a controlled stage, not a loose list of tasks.
Purpose and owner of the process
We determine who makes the decisions, who receives the result, and what problem the first stage is supposed to solve.
Input data
We check examples of records, forms, documents, statuses and quality of data needed for work.
Systems and accesses
We verify tools, API, test accounts, license restrictions and places for integration.
Reception criteria
We describe and learn that the stage is ready: test scenarios, statuses, errors and manuals.
What are we looking at before the final valuation?
process rangedata qualitysystems and APIrisk of exceptionsresponsibilities of the teamacceptance criteriapost-implementation maintenancenext stages of development
Package FAQ
Most common questions before start
Does AI implementation in the company have a fixed price?
Base price: from $2,609 net. The final quote depends on the process, data, number of integrations, scope of testing and post-implementation maintenance.
Can you start with a smaller range?
Yes. We usually recommend the first stage with limited scope, which allows you to check the data, process and real work of the team before further expansion.
What do you need before you take off?
The most helpful is the description of the current process, the list of tools used, sample data, operational problems and the person on the company's side responsible for decisions.
Related paths
Services that most often enter this package
Contact
Describe the process you want to improve.
A few concrete sentences are enough for us to suggest an audit, automation, an AI agent, a web application or a systems integration.
A reply with a recommended next stepThe option to begin with an audit or a focused MVPA solution designed for security and maintainability
Prefer a structured form? Book a free consultationkontakt@smartcodeit.pl882 121 238ul. Częstochowska 12/2, Gliwice