AI workshops for public administration

SKILLS DEVELOPMENT PROGRAMME. AI training for public administration. Practical. Safe. Human-centred

Our AI training for central and local government officials combines everyday AI practice, security and law, change implementation and collaboration between institutions. Each course can be ordered separately or combined into a coherent development path

Programme facts

  • 8 courses
  • ISO 42001 - full compliance
  • 3 × 80 min - convenient blocks
  • Mode - Online
  • Group - 8-18 people
  • PLN 0 - up to 5 people
  • Skills that translate into action

    Almost half of public-administration staff already use generative AI at work, 87% want training and 70% cite missing internal procedures as an implementation barrier (NASK, 2026). The Ministry of Digital Affairs guide says institutions should train staff in how AI works, its limitations and safe use

    What makes the courses different

    For public administration

    Exercises and examples are grounded in the realities of public offices and built around the four concepts from the NASK report: citizen chat, content creation, RAG search and AI agents

    A practical outcome

    Every course ends with a document the office can use formally: a checklist, a human-oversight map, a tool register, a pilot charter or an action plan

    Manageable workload

    A maximum of 4 hours of learning: three 80-minute blocks, with breaks between them

    Tool-independent

    We teach capabilities and a way of thinking, not how to operate a single product. Exercises can be run on tools the office already has, and also with the Polish PLLuM and Bielik models

    The voice of officials

    6,093 officials told us what they need. The programme responds point by point

    The NASK report “AI in public e-administration - the perspective of officials and institutions” (March 2026, CAWI survey N = 6,093 and 24 focus groups, commissioned by the Ministry of Digital Affairs) and the Ministry’s “Guide to artificial intelligence for public administration”. Every figure below has its own course

    87% want training in AI tools

    The most frequently reported need. The Ministry guide adds that institutions must provide training on AI operation, limitations and safe use. Since the AI Act amendment, Article 4 refers to measures that support staff AI literacy

    Related courses: 01 FOUNDATIONS. + the complete path

    46% already use generative AI at work-77% encounter it daily

    Mostly for information search and writing, often through public tools and private accounts. Practice has moved ahead of policy

    Related courses: 01 FOUNDATIONS, 03 SECURITY

    70% cite missing internal rules as a barrier

    73% want clear legislation - something an office cannot influence. It can, however, address the lack of its own procedures: this is the only barrier that can be removed in a 4-hour workshop

    Related courses: 03 SECURITY. → draft policy for internal adoption

    72% see the greatest potential in document search and analysis

    Natural-language search is the highest-rated concept when answers include a source and date and respect permissions

    Related courses: 02 KNOWLEDGE. → metadata-based source catalogue

    81% want routine work automated so they can focus on expert tasks

    But AI agents raise the most scepticism: “how is this different from a well-implemented EZD system?”, “who is responsible for an error?”

    Related courses: 05 AUTOMATION, 04 PILOT

    91% oppose algorithms replacing people in citizen decisions

    This is not resistance to AI - it is a boundary condition. The whole programme is built around human oversight (AI Act, Article 14): an information provider, not a decision-maker

    Related courses: 06 CITIZEN SERVICE, 03 SECURITY

    Sources

  • NASK, “AI in public e-administration-the perspective of officials and institutions”, 17 March 2026
  • Ministry of Digital Affairs, “Artificial intelligence guide for public administration”
  • Recommended course order

    Select a course to go to its programme

    This is the recommended sequence for working through the modules: from the basics of working with AI, through knowledge, security and pilots, to automation, citizen contact, change management and the exchange of experience between institutions

    01 Foundations - AI in public administration work - practical uses without chaos or risk

    Why: brings order to the basic use of AI in everyday work. Who it is for: specialist staff and department managers. Outcome: a map of tasks where AI helps, needs checking or should not be used

    02 Knowledge - Documents, knowledge and RAG-how AI can help find information in public administration

    Why: shows how to prepare documents and sources for reliable AI answers. Who it is for: documentation, procedures and IT teams and knowledge-base owners. Outcome: a source catalogue with metadata, owners and update rules

    03 Security - Safe and responsible use of AI-GDPR, the AI Act and internal rules

    Why: sets a shared standard for the safe use of AI. Who it is for: management, secretaries, DPOs, information security and process owners. Outcome: a working model of rules, a tool register and human oversight

    04 Pilot - Implementing AI in public administration-from problem to controlled pilot

    Why: to move from an idea to a small, measurable and reversible test. Who it is for: secretaries, department managers, IT and process owners. Outcome: a pilot charter with a goal, roles, metrics and a decision gate

    05 Automation - AI agents and process automation in public administration

    Why: to distinguish an assistant, automation and an agent, and safely choose a process to support. Who it is for: IT and process owners. Outcome: a flow map with the limit of AI autonomy, tests and escalation to a person

    06 Citizen service - AI in citizen service-faster, simpler and inclusive

    Why: to design information services for residents without replacing human decisions. Who it is for: citizen service, information desks and communications. Outcome: a conversation scenario, the knowledge scope and the conditions for handing a case over to a person

    07 Change - AI without fear or duplicate work-managing change in a public institution

    Why: to reduce resistance, chaos and duplicate work when implementing AI. Who it is for: management, HR, secretaries and change ambassadors. Outcome: a plan for communication, learning and embedding the new way of working

    08 Collaboration - AI together-sharing experience and collaborating across institutions

    Why: to exchange experience between institutions without copying solutions blindly. Who it is for: digitalisation coordinators, associations, local-government agreements and working groups. Outcome: a common pilot-charter format and a 90-day cooperation plan

    Who it is for

    Management and secretaries

    Start with rules and accountability, then pilot and lead organisational change

    The management path helps establish accountability, safely choose the first pilot and prepare the organisation for change without chaos or duplicate work

    Recommended courses: 03, 04, 07, 08

    Specialist staff and citizen service

    Practical AI, document work and information for citizens

    The staff path shows how to use AI in everyday tasks, document work and contact with citizens, while keeping human control and clear limits of use

    Recommended courses: 01, 02, 06, 08

    IT and information security

    Knowledge sources, permissions, usage rules and controlled automation

    The IT and security path focuses on knowledge sources, permissions, the tool register, rules for using AI and the technical preparation of controlled automation

    Recommended courses: 02, 03, 05

    AI Act Art. 4

    Article 4 of the AI Act - how to document training

    Article 4 of the AI Act has applied since 2 February 2025 and, as amended by Regulation (EU) 2026/1744, requires an institution that uses AI systems to take measures to support a sufficient level of AI literacy among its staff. The provision does not prescribe the form of training, but during an inspection it is worth showing who was trained, when and on what. After each of our courses, the institution has a programme with the topics covered, a list of participants with dates, numbered certificates and the course's final document - together they document the institution's measures under Article 4”; section heading: “Article 4 of the AI Act - how to document training

    Training prices

    September-October 2026

    Special edition: PLN 0 per person. Up to five participants from one institution on each course with newsletter subscription. Additional places use November rates

    November-December 2026

  • Single course: 1-5; PLN 200 net; PLN 246 gross; base price
  • Team package: 6-10; PLN 170 net; PLN 209.10 gross; 15% less
  • Larger-team package: 11-18; PLN 150 net; PLN 184.50 gross; 25% less
  • Complete 8-course path: 1 person; PLN 1,280 net; PLN 1,574.40 gross; 20% less
  • Training programme

    01 Foundations - AI in public administration work - practical uses without chaos or risk

    Workshop • 3 × 80 minutes

    Who it is for

    Specialist staff and department managers who already use AI or are about to start; no technical background required. This course is one of the measures by which the institution supports its staff's AI literacy (Article 4 of the AI Act). AI is already part of officials’ daily work: almost half of public-office staff (46%) use generative AI, most often to search for information and write documents (NASK, 2026). The course brings order to this practice: participants go through the full cycle from identifying the task, through the prompt, to verifying the result - without shifting responsibility for content and decisions onto the technology. The programme delivers the three competences indicated in the Ministry guide: understanding limitations, critical evaluation of results and formulating prompts

    What participants gain

  • Identifies tasks that are and are not suitable for AI
  • Writes precise prompts and knows how to improve them
  • Uses AI for working with documents and creating content, including in plain language
  • Knows which data must not be entered into AI tools and when to stop
  • Can demonstrate that a person verified the AI output
  • Outcome for the organisation: Staff perform typical tasks with AI in a repeatable and controlled way. The institution reduces the “grey zone” of informal use of public tools and gains documents (a checklist, a task map) that can become an annex to an internal order on the use of AI

    Next step: The task map feeds into Course 03 (policy and register) and selection of the first use case in Course 04. Institutions that want to work on their own documents and infrastructure, including with PLLuM or Bielik, can continue in SAIE

    Training programme

    A. Where AI helps-and where it does not

  • Common AI uses in public administration, based on the four NASK concepts
  • Why a model can sound confident when wrong: hallucinations, outdated law and AI slop
  • Low-risk, conditional and unacceptable tasks; data that must not enter public tools
  • Outcome: Task map: use / check conditions / do not use - consistent with the Ministry guide’s “do / don’t” table

    B. Document work and content creation

  • Prompt following the Ministry guide’s pattern: goal, context, audience, format and constraints
  • Summaries, analyses and comparisons; simplifying administrative language
  • Drafting a reply or note from named sources without inventing legal grounds
  • Outcome: A working draft marking what AI generated and what a person verified

    C. Human verification and decision

  • Hallucinations, omissions and false matches in administrative letters
  • Checking source, version, date and completeness; when to ask an expert or DPO
  • Decision trail: what was accepted, rejected and changed (human oversight, AI Act Article 14)
  • Outcome: AI-output verification checklist ready for the institution’s internal policy

    Training dates

    Term 1: 16.09 • Wed • 10:00-11:20 | 17.09 • Thu • 10:00-11:20 | 18.09 • Fri • 10:00-11:20

    Term 2: 20.10 • Tue • 10:00-11:20 | 21.10 • Wed • 10:00-11:20 | 22.10 • Thu • 10:00-11:20

    Term 3: 16.11 • Mon • 10:00-11:20 | 17.11 • Tue • 10:00-11:20 | 18.11 • Wed • 10:00-11:20

    Term 4: 14.12 • Mon • 10:00-11:20 | 15.12 • Tue • 10:00-11:20 | 16.12 • Wed • 10:00-11:20

    02 Knowledge - Documents, knowledge and RAG-how AI can help find information in public administration

    Workshop • 3 × 80 minutes

    Who it is for

    Staff responsible for documentation and procedures, secretaries, IT teams and teams preparing a search engine or knowledge base. 72% of officials see the greatest AI potential in searching and analysing documents (NASK, 2026)

    Natural-language document search is the highest-rated concept in the NASK report, and at the same time the one that raises the most questions about permissions, source currency and responsibility for the knowledge base. The course shows how to prepare the office’s knowledge for search and analysis with AI: participants learn the logic of RAG, organise document statuses and owners, and then design answers with a source that respect permissions

    What participants gain

  • Understands the difference between a general AI assistant and a RAG knowledge base
  • Distinguishes current, archived and working documents
  • Knows who is responsible for documents, their updates and the granting of permissions
  • Can respond when reliable information is missing or sources conflict
  • Outcome for the organisation: The institution gains a structured starting point for a RAG knowledge-base project: the scope of sources, document statuses, owners, update rules, permissions and answer-evaluation criteria - the boundary conditions that officials in the NASK study set for an AI search engine

    Next step: The source catalogue can be used directly in a search pilot (Course 04). In SAIE, the knowledge base runs on the institution’s infrastructure or private cloud, with department permissions and citations in every answer

    Training programme

    A. From documents to a reliable answer

  • Search combined with answer generation
  • General-purpose assistant versus documentation-based assistant
  • An answer with a citation, location and date - a condition of trust indicated by officials
  • Outcome: Flow from a question to a source-grounded answer

    B. Information governance and source readiness

  • Document scope and source hierarchy
  • Status: current, archived, draft or approved
  • Version, validity period, review date and owner
  • Outcome: Source catalogue with metadata and owners-the basis for an ingestion procedure

    C. Access, testing and quality maintenance

  • Roles and least privilege: staff see only what they may access
  • Test questions, edge cases and hallucination-resistance tests
  • Assessment of relevance, completeness and currency; a procedure in case of failure
  • Outcome: Minimum knowledge-base design with acceptance tests and assigned ownership

    Training dates

    Term 1: 24.09 • Thu • 10:00-11:20 | 25.09 • Fri • 10:00-11:20 | 28.09 • Mon • 10:00-11:20

    Term 2: 28.10 • Wed • 10:00-11:20 | 29.10 • Thu • 10:00-11:20 | 30.10 • Fri • 10:00-11:20

    Term 3: 23.11 • Mon • 10:00-11:20 | 24.11 • Tue • 10:00-11:20 | 25.11 • Wed • 10:00-11:20

    03 Security - Safe and responsible use of AI-GDPR, the AI Act and internal rules

    Workshop • 3 × 80 minutes

    Who it is for

    Management, secretaries, DPOs, information-security officers and department managers. 66% of officials want training on the legal aspects of AI - most often people in managerial positions (NASK, 2026)

    The three most frequently cited barriers to implementing AI in public offices are unclear regulations, missing regulations and missing internal procedures (about 70% each, NASK 2026). An office has no influence over the first two, but it can solve the third itself. This AI Act and GDPR training turns their requirements into practical rules: participants classify uses, determine the level of human oversight and prepare a set of rules for using AI in the institution

    What participants gain

  • Recognises the main risks of working with AI: data, content, private accounts and liability for errors
  • Knows when AI is allowed, requires approval or must not be used
  • Knows when a person must verify an AI result
  • Can assess whether an AI tool is approved, secure and compliant with GDPR and the AI Act
  • Outcome for the organisation: The institution gains a shared language and a working model of rules: which uses are permitted, under what conditions, who approves the result and what to do in an incident. The document closes the “missing internal procedures” gap and organises the AI Act obligations enforced in Poland under the Act on artificial intelligence systems

    Next step: The policy and register underpin a safe pilot (Course 04). PROXY:AI can enforce approved-model access, personal-data filtering and use logging. allclouds.pl is Poland’s first Bureau Veritas-certified ISO/IEC 42001 company

    Training programme

    A. Law, data and controlled use cases

  • GDPR in AI work: personal and special-category data, minimisation, anonymisation and DPIA
  • AI Act: prohibited practices, high-risk public-sector systems and AI literacy (Article 4)
  • Approved and unapproved AI environments; what a supplier contract does not guarantee
  • Outcome: Initial review of AI uses and processed information with risk classification

    B. The person in the process and accountability boundaries

  • AI as supporting material, not a decision
  • Automated actions, proposals for approval and human decisions
  • Roles of user, verifier, process owner and expert
  • Outcome: Human-oversight map for one use case (AI Act, Article 14)

    C. Organisational rules, register and incidents

  • Register of approved tools and uses - a condition from the “do” table in the Ministry guide
  • Minimum logging and log protection
  • Reporting errors, breaches or out-of-policy use
  • Outcome: Draft safe-AI policy ready for adoption by internal order

    Training dates

    Term 1: 21.09 • Mon • 10:00-11:20 | 22.09 • Tue • 10:00-11:20 | 23.09 • Wed • 10:00-11:20

    Term 2: 23.10 • Fri • 10:00-11:20 | 26.10 • Mon • 10:00-11:20 | 27.10 • Tue • 10:00-11:20

    Term 3: 19.11 • Thu • 10:00-11:20 | 20.11 • Fri • 10:00-11:20 | 23.11 • Mon • 10:00-11:20

    Term 4: 17.12 • Thu • 10:00-11:20 | 18.12 • Fri • 10:00-11:20 | 21.12 • Mon • 10:00-11:20

    04 Pilot - Implementing AI in public administration-from problem to controlled pilot

    Workshop • 3 × 80 minutes

    Who it is for

    Secretaries, department managers, process owners, IT and project staff-the team deciding on the first implementation

    The Ministry guide starts the implementation process with Stage 0: is AI needed at all? The course follows the same path - from a defined problem to the design of a small, reversible and measurable pilot. Technology is chosen only after the expected outcome, data, risks and method of control have been defined, in line with Stages 0-7 of the Ministry guide and the CDF methodology

    What participants gain

  • Identifies problems where AI may help
  • Correctly assesses the benefits and risks of using AI and the organisation’s readiness for implementation
  • Plans a small, safe and reversible AI test
  • Defines metrics, maintenance costs, control rules and conditions for stopping the test
  • Outcome for the organisation: Participants finish with a realistic pilot charter, not a generic list of ideas. The document follows the structure of the implementation process in the Ministry guide and can be passed on for legal, security, IT and process-owner review

    Next step: The charter feeds a CDF pilot: demonstration on institutional data, limited pilot and scale decision. SAIE supports a pilot without buying infrastructure or locking into one supplier

    Training programme

    A. Problem before technology

  • AI versus ordinary automation: does the problem need AI, or a better form or procedure (Ministry guide, Stage 0)
  • Repetition, time cost and verifiability
  • User, need and measurable goal: service time, number of errors, availability (Ministry guide, Stage 1)
  • Outcome: Use-case description with a measurable goal and expected benefits

    B. Readiness and pilot design

  • Data, sources, procedures, skills and infrastructure; GDPR and AI Act risk classification
  • Small scope, test group and manual fallback
  • Process, data, knowledge and technology owner roles
  • Outcome: Limited pilot design with assigned roles

    C. Measurement and decision

  • Tests on real cases: working time with and without AI, consistency of results, unusual queries (Ministry guide, Stage 5)
  • Output quality, errors, corrections and rejections
  • Verification, data-update and maintenance cost
  • Outcome: Pilot charter with metrics and a continue / redesign / stop gate (Ministry guide, Stage 7)

    Training dates

    Term 1: 29.09 • Tue • 10:00-11:20 | 30.09 • Wed • 10:00-11:20 | 01.10 • Thu • 10:00-11:20

    Term 2: 02.11 • Mon • 10:00-11:20 | 03.11 • Tue • 10:00-11:20 | 04.11 • Wed • 10:00-11:20

    Term 3: 30.11 • Mon • 10:00-11:20 | 01.12 • Tue • 10:00-11:20 | 02.12 • Wed • 10:00-11:20

    Term 4: 21.12 • Mon • 10:00-11:20 | 22.12 • Tue • 10:00-11:20 | 23.12 • Wed • 10:00-11:20

    05 Automation - AI agents and process automation in public administration

    Workshop • 3 × 80 minutes

    Who it is for

    IT, owners of records-management and document-workflow processes, secretariat managers; offices with an implemented EZD (electronic records management) system that are considering automating the registration or assignment of correspondence

    AI agents are the concept that raised the most scepticism in the NASK study: “how is this different from a well-implemented EZD system?”, “who is responsible for an error?”, “won’t oversight cost more than the savings?”. This training on AI agents answers these questions. Participants distinguish an agent from a general assistant and rule-based automation, and then design one bounded process in which actions, permissions and human decisions are explicit

    What participants gain

  • Understands the differences between an AI assistant, a workflow, automation and AI agents
  • Selects a process suitable for agent support
  • Defines what the agent may do and which data it can access
  • Knows how to reverse an action, fall back to manual handling or stop safely
  • Outcome for the organisation: Participants can assess whether building an agent is justified and plan its operation so that people still make the decisions and control the whole process. The agent starts with the simplest use (e.g. proposing how to assign correspondence), not with autonomy

    Next step: The flow can be piloted in SAIE, where automation works alongside knowledge bases and assistants while PROXY:AI enforces permissions and logs every agent step

    Training programme

    A. Does this process need an agent?

  • AI assistant, workflow, rule-based automation and AI agent
  • Repeatable, reversible and verifiable tasks
  • Risk of duplicating functions of the EZD system and other office systems
  • Outcome: Reasoned decision: agent / automation / no implementation

    B. Designing a safe flow

  • Trigger, inputs, knowledge sources and tools
  • Least privilege, action limits and no autonomous citizen decisions
  • Automated steps, AI steps and human approval
  • Outcome: One process map with a defined AI-autonomy boundary

    C. Testing, monitoring and error response

  • Typical, unusual and erroneous scenarios - the pre-implementation test that officials expect
  • Stop criteria, human escalation and manual fallback
  • Logging steps, decisions and tools used
  • Outcome: Test and oversight plan for the designed flow

    Training dates

    Term 1: 12.10 • Mon • 10:00-11:20 | 13.10 • Tue • 10:00-11:20 | 14.10 • Wed • 10:00-11:20

    Term 2: 05.11 • Thu • 10:00-11:20 | 06.11 • Fri • 10:00-11:20 | 09.11 • Mon • 10:00-11:20

    Term 3: 26.11 • Thu • 10:00-11:20 | 27.11 • Fri • 10:00-11:20 | 30.11 • Mon • 10:00-11:20

    Term 4: 14.12 • Mon • 10:00-11:20 | 15.12 • Tue • 10:00-11:20 | 16.12 • Wed • 10:00-11:20

    06 Citizen service - AI in citizen service-faster, simpler and inclusive

    Workshop • 3 × 80 minutes

    Who it is for

    Citizen-service offices, information desks and helplines, communications, heads of departments with a large number of repetitive enquiries - especially counties and cities. For regional and central authorities: an internal-assistant variant

    Citizen chat is the concept officials want most (about two thirds of positive ratings), but on conditions: an information provider, not an adviser; clear disclosure of AI; a “switch to a person” option; no new barrier for people with weaker digital skills (NASK, 2026). The course guides participants through designing such a service: informative, leading to the right form or department, aware of its own limitations and always allowing contact with a person

    What participants gain

  • Distinguishes three roles - informing, advising and deciding - and knows in which of them AI can be used
  • Designs an AI assistant’s knowledge and answer scope
  • Ensures plain language and transparency in interactions with the AI assistant
  • Knows when the AI assistant should enable contact with a member of staff or the use of an alternative contact channel
  • Outcome for the organisation: The institution gains a safe information-service scenario that relieves staff of simple questions but does not close residents’ path to contact with a person. The scenario meets the boundary conditions that officials set for chatbots in the NASK report

    Next step: The scenario can be launched as an information assistant in SAIE - on the office’s local knowledge base and a Polish model (PLLuM or Bielik), with full logging of conversations. For small municipalities: a shared assistant for several institutions

    Training programme

    A. AI’s role in citizen contact

  • Repeated questions and first-line needs
  • Information provider or guide, not adviser or decision-maker - a key recommendation of the NASK report
  • Clear disclosure that the user is talking to AI (transparency obligation, AI Act)
  • Outcome: Assistant scope and a list of matters outside its remit

    B. Service path and content design

  • User intents and clarifying questions
  • Plain-language answer with source, date and legal version
  • Link to the correct form, department or instruction
  • Outcome: Conversation scenario and citizen-service stages

    C. Accessibility, currency and trust testing

  • Tests involving people with different levels of digital skills
  • Hallucinations, unusual cases and missing grounds
  • Knowledge-base owner and update cycle after legal changes
  • Outcome: Service test plan covering quality, accessibility, hand-off and currency

    Training dates

    Term 1: 07.10 • Wed • 10:00-11:20 | 08.10 • Thu • 10:00-11:20 | 09.10 • Fri • 10:00-11:20

    Term 2: 09.11 • Mon • 10:00-11:20 | 10.11 • Tue • 10:00-11:20 | 12.11 • Thu • 10:00-11:20

    Term 3: 03.12 • Thu • 10:00-11:20 | 04.12 • Fri • 10:00-11:20 | 07.12 • Mon • 10:00-11:20

    Term 4: 17.12 • Thu • 10:00-11:20 | 18.12 • Fri • 10:00-11:20 | 21.12 • Mon • 10:00-11:20

    07 Change - AI without fear or duplicate work-managing change in a public institution

    Workshop • 3 × 80 minutes

    Who it is for

    Management, secretaries, HR, department managers and future AI ambassadors-the team leading implementation

    Many of officials’ concerns relate not to specific tools but to the nature of AI itself: fear of error, responsibility, duplicate work and loss of competence (NASK, 2026). Neither the report nor the Ministry guide says how to work with this. The course helps the team prepare for implementing AI: participants learn about staff concerns, involve staff in testing solutions and check whether AI makes work easier without weakening competences

    What participants gain

  • Understands staff concerns about implementing AI and the real costs of such a change
  • Knows when the implementation of AI tools needs to be explained better and when the way they are implemented needs to change
  • Can involve staff in testing and evaluating AI
  • Outcome for the organisation: The institution gains a change plan that takes account of staff concerns and knowledge, shows the balance of work and supports safe adoption of AI instead of forced use of a tool. The module covers an area addressed by neither the NASK report nor the Ministry guide

    Next step: The change plan accompanies the Course 04 pilot and forms part of CDF, where roles, concerns and team capabilities are defined before technology selection

    Training programme

    A. Diagnosing concerns and stakeholders

  • Fear of role loss, control, error and lost expertise
  • Fear of duplicate work: overseeing AI costing more than it saves
  • Differences between user, manager, IT and control functions
  • Outcome: List of people involved, their concerns and information needs

    B. Co-designing the new way of working

  • What disappears, remains and is created-and who verifies
  • Staff role in selecting and testing the use case
  • Human control at key stages instead of rubber-stamp approval
  • Outcome: Before-and-after comparison of time and competence

    C. Communication, learning and sustained change

  • On-the-job support when a tool fails
  • Short training, practice, consultations and AI ambassadors
  • Safe reporting of errors and problems
  • Outcome: Communication and skills-development plan for the test

    Training dates

    Term 1: 02.10 • Fri • 10:00-11:20 | 05.10 • Mon • 10:00-11:20 | 06.10 • Tue • 10:00-11:20

    Term 2: 12.11 • Thu • 10:00-11:20 | 13.11 • Fri • 10:00-11:20 | 16.11 • Mon • 10:00-11:20

    Term 3: 01.12 • Tue • 10:00-11:20 | 02.12 • Wed • 10:00-11:20 | 03.12 • Thu • 10:00-11:20

    Term 4: 21.12 • Mon • 10:00-11:20 | 22.12 • Tue • 10:00-11:20 | 23.12 • Wed • 10:00-11:20

    08 Collaboration - AI together-sharing experience and collaborating across institutions

    Workshop • 3 × 80 minutes

    Who it is for

    Secretaries and digital coordinators from several institutions, municipal associations, agreements, territorial partnerships, counties and municipalities; delivered as a joint workshop

    Small municipalities in the NASK study say it plainly: “the cost of implementation is insurmountable” - and propose shared solutions for several institutions themselves. The course shows how public institutions can exchange experience with AI without copying solutions blindly and without disclosing protected information. Participants learn to document pilots in a comparable way, conduct peer review and plan a joint cooperation mechanism - including joint procurement or shared infrastructure

    What participants gain

  • Documents an AI test so other institutions understand its process and results
  • Separates institution-specific findings from reusable ones
  • Structures and discusses conclusions from a test
  • Knows what to conceal or anonymise and what must not be shared
  • Outcome for the organisation: Institutions gain a common format for documenting and comparing experience and a concrete cooperation plan that limits duplicated tests and makes it possible to use the results of other organisations. For small municipalities this means access to AI at a scale that a single institution cannot afford

    Next step: A group can launch a shared SAIE pilot: one environment, separate knowledge bases and permissions, with costs shared among participants

    Training programme

    A. Describing experience so others can use it

  • Problem, user, scope, data and environment
  • Metrics, result, errors, cost and decision
  • Facts, interpretations and recommendations
  • Outcome: Pilot summary card comparable across institutions

    B. Peer review and transferring a solution

  • Critical questions without personal judgement
  • Conditions for success and causes of failure
  • Differences in process, data, local law and infrastructure
  • Outcome: Assessment of whether other institutions can reuse the solution

    C. A lasting collaboration mechanism

  • Card repository, webinar, forum or working group linked to AI HUB (ai.gov.pl)
  • Owner, moderator and expert roles
  • Cycle of updating, reviewing and closing outdated materials
  • Outcome: 90-day experience-sharing and joint-action plan, including a shared pilot option

    Training dates

    Term 1: 15.10 • Thu • 10:00-11:20 | 16.10 • Fri • 10:00-11:20 | 19.10 • Mon • 10:00-11:20

    Term 2: 17.11 • Tue • 10:00-11:20 | 18.11 • Wed • 10:00-11:20 | 19.11 • Thu • 10:00-11:20

    Term 3: 07.12 • Mon • 10:00-11:20 | 08.12 • Tue • 10:00-11:20 | 09.12 • Wed • 10:00-11:20

    Training calendar

    All 2026 dates in one place

    01 Foundations: 16.09 • Wed • 10:00-11:20 | 17.09 • Thu • 10:00-11:20 | 18.09 • Fri • 10:00-11:20 || 20.10 • Tue • 10:00-11:20 | 21.10 • Wed • 10:00-11:20 | 22.10 • Thu • 10:00-11:20 || 16.11 • Mon • 10:00-11:20 | 17.11 • Tue • 10:00-11:20 | 18.11 • Wed • 10:00-11:20 || 14.12 • Mon • 10:00-11:20 | 15.12 • Tue • 10:00-11:20 | 16.12 • Wed • 10:00-11:20

    02 Knowledge: 24.09 • Thu • 10:00-11:20 | 25.09 • Fri • 10:00-11:20 | 28.09 • Mon • 10:00-11:20 || 28.10 • Wed • 10:00-11:20 | 29.10 • Thu • 10:00-11:20 | 30.10 • Fri • 10:00-11:20 || 23.11 • Mon • 10:00-11:20 | 24.11 • Tue • 10:00-11:20 | 25.11 • Wed • 10:00-11:20

    03 Security: 21.09 • Mon • 10:00-11:20 | 22.09 • Tue • 10:00-11:20 | 23.09 • Wed • 10:00-11:20 || 23.10 • Fri • 10:00-11:20 | 26.10 • Mon • 10:00-11:20 | 27.10 • Tue • 10:00-11:20 || 19.11 • Thu • 10:00-11:20 | 20.11 • Fri • 10:00-11:20 | 23.11 • Mon • 10:00-11:20 || 17.12 • Thu • 10:00-11:20 | 18.12 • Fri • 10:00-11:20 | 21.12 • Mon • 10:00-11:20

    04 Pilot: 29.09 • Tue • 10:00-11:20 | 30.09 • Wed • 10:00-11:20 | 01.10 • Thu • 10:00-11:20 || 02.11 • Mon • 10:00-11:20 | 03.11 • Tue • 10:00-11:20 | 04.11 • Wed • 10:00-11:20 || 30.11 • Mon • 10:00-11:20 | 01.12 • Tue • 10:00-11:20 | 02.12 • Wed • 10:00-11:20 || 21.12 • Mon • 10:00-11:20 | 22.12 • Tue • 10:00-11:20 | 23.12 • Wed • 10:00-11:20

    05 Automation: 12.10 • Mon • 10:00-11:20 | 13.10 • Tue • 10:00-11:20 | 14.10 • Wed • 10:00-11:20 || 05.11 • Thu • 10:00-11:20 | 06.11 • Fri • 10:00-11:20 | 09.11 • Mon • 10:00-11:20 || 26.11 • Thu • 10:00-11:20 | 27.11 • Fri • 10:00-11:20 | 30.11 • Mon • 10:00-11:20 || 14.12 • Mon • 10:00-11:20 | 15.12 • Tue • 10:00-11:20 | 16.12 • Wed • 10:00-11:20

    06 Citizen service: 07.10 • Wed • 10:00-11:20 | 08.10 • Thu • 10:00-11:20 | 09.10 • Fri • 10:00-11:20 || 09.11 • Mon • 10:00-11:20 | 10.11 • Tue • 10:00-11:20 | 12.11 • Thu • 10:00-11:20 || 03.12 • Thu • 10:00-11:20 | 04.12 • Fri • 10:00-11:20 | 07.12 • Mon • 10:00-11:20 || 17.12 • Thu • 10:00-11:20 | 18.12 • Fri • 10:00-11:20 | 21.12 • Mon • 10:00-11:20

    07 Change: 02.10 • Fri • 10:00-11:20 | 05.10 • Mon • 10:00-11:20 | 06.10 • Tue • 10:00-11:20 || 12.11 • Thu • 10:00-11:20 | 13.11 • Fri • 10:00-11:20 | 16.11 • Mon • 10:00-11:20 || 01.12 • Tue • 10:00-11:20 | 02.12 • Wed • 10:00-11:20 | 03.12 • Thu • 10:00-11:20 || 21.12 • Mon • 10:00-11:20 | 22.12 • Tue • 10:00-11:20 | 23.12 • Wed • 10:00-11:20

    08 Collaboration: 15.10 • Thu • 10:00-11:20 | 16.10 • Fri • 10:00-11:20 | 19.10 • Mon • 10:00-11:20 || 17.11 • Tue • 10:00-11:20 | 18.11 • Wed • 10:00-11:20 | 19.11 • Thu • 10:00-11:20 || 07.12 • Mon • 10:00-11:20 | 08.12 • Tue • 10:00-11:20 | 09.12 • Wed • 10:00-11:20

    ALLCLOUDS.PL IS THE FIRST COMPANY IN POLAND CERTIFIED TO ISO/IEC 42001 BY BUREAU VERITAS

    We teach AI management the way we manage it according to the standard

    Our AI management system covers every AI system, the CDF methodology, SAIE ecosystem products, personnel and supply chain from concept to retirement. Training and consulting are covered by the same Integrated Management System alongside ISO 9001, 27001, 27017, 27018, 22301, 14001 and 42001

    42001 audit: 0 nonconformities

    Instructors

    People who build AI systems for the public sector-not just talk about them

    Three instructors, each with more than five years of experience in projects for public institutions. Designers of TWIN:DESK and PROXY:AI, co-authors of the CDF methodology and of the AI management system certified to ISO/IEC 42001

    Anna Pawelec - AI systems designer

    Specialisms: TWIN:DESK, Systems for central institutions, External-user processes

    For more than 5 years she has been building IT solutions for the public sector. One of the lead designers of TWIN:DESK; she designed and implemented systems supporting processes involving external users for central institutions. She is now responsible for building and developing the TWIN:DESK roadmap

    In the courses: turning institutional documents into a working knowledge base and designing an assistant that always leaves citizens a path to a person

    Teaches: 01 FOUNDATIONS, 02 KNOWLEDGE, 03 SECURITY, 04 PILOT, 05 AUTOMATION, 06 CITIZEN SERVICE, 07 CHANGE, 08 COLLABORATION

    Robert Duda - AI security consultant

    Specialisms: PROXY:AI, IT security, Critical infrastructure

    For more than 10 years he has been building IT solutions for the public sector. One of the lead designers of PROXY:AI. He has taken part in dozens of projects implementing critical network infrastructure and security solutions for central institutions and large companies. He now specialises in implementations and training on the secure use of AI

    In the courses: what happens to data entered into AI tools and how to build rules that can be enforced technically

    Teaches: 01 FOUNDATIONS, 02 KNOWLEDGE, 03 SECURITY, 04 PILOT, 05 AUTOMATION, 06 CITIZEN SERVICE, 07 CHANGE, 08 COLLABORATION

    Rafał Grzegorzewski - IT consultant and systems engineer, CDF methodology

    Specialisms: CDF methodology, ISO/IEC 42001, AI Act, System implementation

    For more than 10 years he has been building IT solutions for the public sector, including reporting systems for supervisory institutions. He designs and implements IT systems: he turns the needs of public offices into concrete solutions, configures, tests and documents them. He runs courses and workshops on the CDF methodology, ISO/IEC 42001 and the AI Act

    In the courses: how to move from a problem to a controlled pilot, how to plan an AI rollout in a public office and how to prepare documents that will stand up to an audit

    Teaches: 01 FOUNDATIONS, 02 KNOWLEDGE, 03 SECURITY, 04 PILOT, 05 AUTOMATION, 06 CITIZEN SERVICE, 07 CHANGE, 08 COLLABORATION

    How to order

    From order to training in 4 steps

    1. You complete the order form on the website

    YOU • 5 MINUTES. Choose courses, dates and participant numbers, then enter requester and institution details

    2. You receive the order confirmation

    US • E-MAIL. To the e-mail address provided. If the training is paid, the same message includes a proforma invoice for payment

    3. You pay the proforma before the training

    YOU • PAID TRAINING ONLY. By bank transfer, on the basis of the proforma. In the free edition this step is skipped

    4. You receive the link to the training

    US • 3 DAYS BEFORE THE TRAINING. To the e-mail address provided, 3 days before the date. A browser is enough - no software to install

    Order process: The client chooses the training, the number of people and the date from the calendar → The client completes the registration on the website → The client receives an order confirmation and a proforma invoice for payment at the e-mail address provided → After paying the proforma, the client receives the link to the training at the e-mail address provided

    Training order form

  • Requester details: first name, surname, business e-mail address, telephone and position or role
  • Institution: name, street, building number, postal code, city and NIP
  • Each course: name, dates, participant count and each participant’s name and e-mail
  • Confirmation that you have read the information on the processing of personal data for the purpose of handling the order
  • Optional newsletter consent determining eligibility for the September-October 2026 free edition
  • Fields marked with an asterisk are required. Form fields: Full name, Role, Business e-mail, Telephone, Institution name, Street, Building no., Postal code, City and Tax ID (NIP).

    Selected courses include the full course name, the course dates, the number of people, the net and gross price, the discount and the details of each participant: first name, surname and email address.

    I want to receive the allclouds.pl newsletter and I consent to receiving commercial information by electronic means. I have read the terms of service and the privacy policy. I can withdraw my consent at any time.

    I have read the information on the processing of my personal data for the purpose of handling the training order. Confirmation is required.

    The data controller is allclouds.pl sp. z o.o., based in Warsaw (ul. Jutrzenki 139, 02-231). We process the form data to handle the order and for business contact. You have the right of access, rectification, erasure and objection. Full information: privacy policy.

    Training financed entirely from public funds (Article 43(1)(29)(c) of the VAT Act) or at least 70% from public funds (§ 3(1)(14) of the Minister of Finance Regulation of 20 December 2013) is exempt from VAT - in that case the gross price equals the net price. In practice, an office financing training from its own budget selects the 100% option. The declaration template you will receive together with the order confirmation has both fields. If these circumstances apply to you, please complete and sign the declaration template you received and send it to office@allclouds.pl

    What happens after submission

  • 1. Order form: Courses, dates, participant numbers and institution details
  • 2. E-mail confirmation: For paid training, together with the proforma
  • 3. Proforma payment: Before training; skipped in the free edition
  • 4. Training link: Sent by e-mail three days before the course
  • Training FAQ

    Registration and free edition

    1. How do we register for a course and how long does the whole process take?

    You complete the form on the page: requester details, institution name and the selected courses with dates and number of participants. After submitting, you receive a copy of the registration and a proforma invoice (for paid training) at the e-mail address provided. Three days before the first day of training we send participants the link to the course

    2. Who may register participants - must it be a person authorised to represent the institution?

    Any person from the institution may submit a registration from a business e-mail address. For paid orders, please pay the proforma invoice you receive before the training date - this is a condition of participation

    3. How does the free September-October edition work and who must subscribe to the newsletter?

    For September and October dates, the first 5 people from one institution attend each course free of charge. The only condition: the requester subscribes to the allclouds.pl newsletter (one consent per registration, not every participant). Consent can be withdrawn at any time, including after the training. The newsletter contains information about upcoming dates, new materials and changes in regulations on AI in public administration - with no advertising of third-party products

    4. What if we want to register more than 5 people for one course in the free edition?

    Places from the sixth onwards are charged according to the November and December 2026 price list. For a group of 6-10 people the rate is PLN 170 net per paid place. Example: 8 people on one course in September cost 5 × PLN 0 + 3 × PLN 170 = PLN 510 net. The total number of people from one institution in a group may not exceed 18

    5. Can one institution use free places on each of the eight courses?

    Yes. The limit of 5 free participants applies to each course separately, so one institution can train up to 40 person-courses free of charge, including the same person on several courses. The only limit is the number of places in a group - registrations are accepted in order of submission

    Confirmation and changes

    6. What happens after we submit the form - when and in what form do we receive confirmation?

    After submitting the form you receive a confirmation of your registration at the e-mail address provided. For paid orders, the same e-mail includes a proforma invoice to be paid before the training. Three days before the first day of training we send participants the link to the course

    7. Can we change the date or a participant after the registration is confirmed?

    Yes, free of charge. A participant can be replaced by another person from the same institution up to the start of the training. Moving to another date from the calendar is possible up to 5 business days before the training, provided there are free places on the new date. Just send an e-mail to office@allclouds.pl

    8. Until when can we cancel without charge?

    Cancellation is possible up to 5 business days before the first day of training; after that we offer a change to another date or another participant instead of charging a fee

    9. Can we order several courses in one registration, with different dates and numbers of participants?

    Yes - the form lets you add any number of items, each with its own date and number of participants (e.g. 01 Foundations for 5 people in September and 03 Security for 3 people in October). The price is calculated automatically, and everything goes onto one confirmation and, for paid orders, one invoice

    10. How do we order the complete path or a path for a selected role?

    It is best to prepare such an order by selecting the courses one by one in the registration form. This lets you choose convenient dates for each course

    Payment and documents

    11. When do you issue an invoice and when is payment due?

    We issue a proforma invoice after receiving the registration. After receiving payment we issue a VAT invoice. On request, we split the VAT invoice by organisational unit

    12. Are prices net or gross, and can training be VAT exempt?

    We show net and gross prices on the page. Training financed entirely from public funds (Article 43(1)(29)(c) of the VAT Act) or at least 70% from public funds (§ 3(1)(14) of the Minister of Finance Regulation of 20 December 2013) is VAT exempt - in that case the gross price equals the net price. In practice, an institution financing training from its own budget selects the 100% option. The declaration template you receive with the order confirmation includes both options. If this applies to you, please complete, sign and return the declaration to office@allclouds.pl

    13. Do participant-number discounts combine with the complete-path discount?

    Yes. A team of 6-10 people on the complete path pays PLN 1,280 − 15% = PLN 1,088 net per person; a team of 11-18 people pays PLN 1,280 − 25% = PLN 960 net. Discounts are calculated from the number of people from one institution on a given course, not from the total number of people in the order

    14. Which documents can we receive for the procurement request?

    Whatever you need to carry out the procurement in line with your institution's procedures, for example: an offer, the training programme with a schedule, an order template, a template declaration of public funding, a GDPR information notice and - on request - company information (KRS, NIP, ISO 9001, ISO 14001, ISO 22301, ISO/IEC 27001, 27017, 27018 and 42001 certificates)

    15. Do you sign contracts based on the institution's template and handle orders below the PLN 170,000 threshold?

    Yes. We usually deliver training under an order or contract from the institution below the threshold of the Polish Public Procurement Act (PLN 170,000 net from 1 January 2026) - in line with your procurement rules. We accept the institution's contract templates after review; we also have our own one-page template

    Course delivery

    16. Which platform is used and do participants need to install anything?

    Sessions take place online in MS Teams. A browser and the link we send before the training are enough; no accounts or software installation are needed. For exercises we use AI tools available in the browser. If your institution's security policy blocks certain services, please let us know when registering - we will choose an option that works on your network

    17. Why is the course split into three days of 80 minutes, and can someone attend only one day?

    Three 80-minute blocks on consecutive business days (always 10:00-11:20) are a deliberate choice: employees are not away from work for a whole day, and between blocks they have time to apply the material to their own tasks and come back with questions. The blocks form one whole and end with a shared document, so we do not sell individual days. If a participant misses a block, they can make it up on the next date of the same course at no extra cost. Role-based courses 09-11 have a different format: one 3-hour block with a break, because instead of individual work between blocks they rely on a live demo

    18. What are the minimum and maximum group sizes, and what happens if a group does not fill up?

    A group has 8 to 18 people - small enough for the instructor to work with every participant, large enough to share experience between institutions. In role-based courses 09-11 a group has 8 to 30 people, because the trainer shows the AI environment and the exercises take place in the chat and in polls. If fewer than 8 people are registered 3 business days before the date, we offer the nearest other date or - for registrations from one institution - a closed session. We never cancel a course without offering an alternative

    19. Are sessions recorded and is the recording shared with participants?

    We do not record sessions. Participants discuss examples from their own institutions freely, which requires certainty that the conversation stays within the group. Instead of a recording, participants receive materials, templates and a summary of each block

    20. Are participants from different institutions in one group?

    Yes, groups on open dates are mixed - deliberately, because sharing experience between institutions is one of the most highly rated parts of the training. The instructor makes sure protected information is not discussed; exercises use anonymised examples or examples we prepare. If you prefer a group made up only of your own institution, please order a closed course

    Materials, tools and outcomes

    21. What does a participant receive after the training?

    Each participant receives: course materials in PDF, templates of the documents developed during the workshop (e.g. task map, checklist, tool register, pilot charter) and a named, numbered certificate of attendance listing the programme; the number entitles the holder to register for the LIDER:AI Academy

    22. Which AI tools are used in the exercises, and does the institution need its own licences?

    Exercises use browser-based tools, our products and various large language models, including the Polish models PLLuM and Bielik. The institution does not need to buy any licences - we provide access to the exercise environment for the duration of the training. In role-based courses 09-11 the trainer shows the SAIE environment and participants do not create accounts

    23. Is the institution's data entered during exercises, and how do you keep it secure?

    No. Exercises use examples we prepare or anonymised materials, and one of the first things we teach is what must not be entered into AI tools. The allclouds exercise environment runs on infrastructure in Poland, and the company holds ISO/IEC 27001, 27017, 27018 and ISO/IEC 42001 (AI management system) certificates. Registration data is processed solely to deliver the training

    24. What is “the document that is produced”, and can the institution use it formally?

    Each course ends with a concrete working document that participants complete during the workshop for their own institution - e.g. a task map and checklist (01), a source catalogue (02), draft rules for using AI (03), a pilot charter (04). The documents follow the structure of the Ministry of Digital Affairs' guide and are prepared so that they can become an annex to an internal order, procedure or pilot request. The institution receives them in an editable format and may modify them freely; they require no licence or reference to allclouds

    25. Does the training help show measures under Article 4 of the AI Act, and how can they be documented?

    Article 4 of the AI Act, as amended by Regulation (EU) 2026/1744, requires deployers of AI systems to take measures to support a sufficient level of AI literacy among their staff, taking into account the context of their work. Our course is one of these measures. The training programme covers the three competences indicated in the Ministry of Digital Affairs' guide: understanding the limitations of AI, critical evaluation of results and formulating instructions. Documentation consists of a named, numbered certificate listing the programme, the training programme and the document developed during the workshop. We are not a law firm - the final assessment of whether the scope is sufficient for a specific role is made by the institution, but we prepare the materials to make that assessment easier

    Instructors, tailoring and support

    26. Who delivers the training and what experience do they have with public administration?

    The training is delivered by people who have designed and implemented AI solutions in institutions from regulated sectors and co-created the CDF methodology and the ISO/IEC 42001-certified AI management system

    27. Can we order a closed course for one institution, on its own date or on-site?

    Yes. We deliver closed courses online on a date agreed with the institution (group of 8-18 people). In the closed version, exercises are based on your institution's processes and documents (after anonymisation), and the resulting document refers directly to your structure. Pricing is individual - please write to us through the form, marking “closed course”

    28. Can the programme be tailored to the institution?

    On open dates the programme is fixed, but we choose examples to match the group (municipalities, districts, regional offices, central administration) and ask about the type of institution in the form. Course 06 has a separate variant for regional and central offices (internal assistant), and course 08 is designed for groups from several institutions. Full tailoring (your own processes, your own documents) is available in closed courses

    29. Is consultation or support available after the training for implementing the documents developed?

    Yes, at three levels: 30 days of e-mail consultation included in the price, paid implementation consultations (e.g. a review of a draft internal order or pilot charter with the instructor) and a pilot following the CDF methodology in the SAIE environment for institutions that want to test the solution on their own documents. Attending the training does not oblige you to take any of these options - the documents you develop belong entirely to you

    Article 4 of the AI Act has applied since 2 February 2025 and, as amended by Regulation (EU) 2026/1744, requires an institution that uses AI systems to take measures to support a sufficient level of AI literacy among its staff. The provision does not prescribe the form of training, but during an inspection it is worth showing who was trained, when and on what. After each of our courses, the institution has a programme with the topics covered, a list of participants with dates, numbered certificates and the course's final document - together they document the institution's measures under Article 4

    Role-based training for three roles

    Three 3-hour courses for the roles an AI rollout depends on: the manager, IT and the DPO, and the official. A live SAIE demo and a document for the office. In November and December up to 5 people per institution free of charge

    Role-based training

    A numbered certificate opens the Academy

    Participants of our courses can join the free LIDER:AI Academy: five workshops for AI adoption leaders and 5 SAIE trial licences for the office for the whole of 2027

    LIDER:AI Academy

    FAQ