{"id":2722,"date":"2026-06-01T10:28:52","date_gmt":"2026-06-01T10:28:52","guid":{"rendered":"https:\/\/sawaryn.com\/uslugi\/ai-compliance\/"},"modified":"2026-07-14T16:21:42","modified_gmt":"2026-07-14T16:21:42","slug":"ai-compliance","status":"publish","type":"service","link":"https:\/\/sawaryn.com\/en\/uslugi\/ai-compliance\/","title":{"rendered":"AI Compliance"},"excerpt":{"rendered":"<p>AI is already at work in your organization-in employee tools, supplier systems, and processes across HR, marketing, sales, customer service, and product development. The question is: Do you have control over it? <\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"specialization":[1207],"practice_area":[],"class_list":["post-2722","service","type-service","status-publish","hentry","specialization-compliance"],"acf":{"short_description":"AI is already being used in your organisation-in employees\u2019 tools, suppliers\u2019 systems, HR, marketing, sales and customer-service processes, and in products. The question is: do you have it under control?","full_description":"<strong>Safe AI in Your Business. Move Faster, While Staying in Control.<\/strong>\n\nAI is already being used in your organisation-in employees\u2019 tools, suppliers\u2019 systems, HR, marketing, sales and customer-service processes, and in products. The question is: do you have it under control?\n\nWe help companies bring their use of AI under control: we map out use cases, classify risks, translate the AI Act, GDPR, cybersecurity, and IP into practical guidelines, and implement a process for approving new tools.\n\nA structured view of the AI roadmap within the organisation: departments, tools, risk levels, decision-makers, and approval status. From a visual perspective: control, transparency, process and no disorder. \n<h2>CLIENT\u2019S PROBLEM<\/h2>\n<strong>AI is developing faster than the rules intended to govern it<\/strong>\n\nIn many companies, AI is no longer just a plan for the future. It is part of everyday practice. Employees use ChatGPT, Copilot, content generators, HR tools, sales automation, scoring, analytics, and supplier systems.  \n\nThe problem arises when no one has the full picture: where the AI operates, what data it processes, whether it influences decisions, who is responsible for the risks, and which applications may trigger regulatory obligations.\n\n\"The greatest AI risk in a company does not always stem from a large-scale implementation. It often starts with a tool that no one has formally approved, but which is already affecting data, customers, employees, or business decisions.\" \n\nAI Compliance is not meant to stifle innovation. It is designed to provide organisations with clear guidelines that enable executives, managers, IT, HR, legal, compliance, and operations teams to make decisions faster-without the chaos that often accompanies such decisions and without shifting blame. \n<h2>MOST COMMON PROBLEMS \/ CHALLENGES<\/h2>\n<strong>You do not know where AI is actually being used in the company<\/strong>\n\nEmployees are testing tools, departments are purchasing solutions from vendors, and some AI features are appearing in systems the organisation is already using. Management sees the trend but does not see the full extent of the risk. \n\nWe create a map of AI usage within the organisation: tools, processes, departments, vendors, data, decisions, and responsible parties.\n\n<strong>Business benefit:<\/strong> You gain visibility into what is already happening-and can prioritise actions where there\u2019s a real risk.\n\n<strong>Risk of inaction:<\/strong> AI will develop in a bottom-up manner, without any control over data, confidentiality, intellectual property, accountability, or the impact on customers or employees.\n\n<strong>You do not know which applications are subject to the AI Act<\/strong>\n\nNot every use of AI entails the same level of responsibility. A content generator in marketing is different from an HR tool, a scoring system, an AI-based SaaS product, or a solution that influences decisions regarding customers. \n\nWe classify AI applications based on the AI Act, the organisation's role, the level of risk, and the obligations that may apply to the company.\n\n<strong>Business benefit:<\/strong> You get a decision-making framework: \u201cyes,\u201d \u201cyes, provided that\u2026,\u201d \u201crequires approval,\u201d \u201chigh risk,\u201d \u201cnot recommended.\u201d\n\n<strong>Risk of inaction:<\/strong> A company may implement solutions whose risks have not been assessed-or block safe projects simply because there are no clear criteria.\n\n<strong>Each department uses AI in its own way<\/strong>\n\nMarketing generates content. HR tests recruitment tools. Sales automates customer interactions. IT implements integrations. Compliance and Legal find out about everything after the fact.    \n\nWe design AI policies, guidelines for using tools, a model for approving new implementations, checklists, and rules for documenting decisions.\n\n<strong>Business benefit:<\/strong> The organisation operates according to a single model. Teams know what they can do on their own, when they need approval, and who to involve. \n\n<strong>Risk of inaction:<\/strong> Operational chaos ensues: duplicate inquiries, unclear decisions, delays, conflicts between departments, and risks with no one taking ownership.\n\n<strong>Employees want to use AI, but they do not know what they're not allowed to do<\/strong>\n\nThe greatest risks often arise in simple situations: pasting customer data into an AI tool, using confidential information, generating content that poses an IP risk, or basing a decision on a result that no one has verified.\n\nWe develop practical rules for employees and managers, as well as an AI literacy programme tailored to specific roles within the company.\n\n<strong>Business benefit:<\/strong> People can use AI with greater confidence because they understand its limitations: data, confidentiality, intellectual property, verification of results, accountability, and escalation.\n\n<strong>Risk of inaction:<\/strong> The organisation leaves AI security up to employees\u2019 day-to-day decisions-without a common standard and without predictability.\n\n<strong>Customers, investors, or auditors are asking about AI governance<\/strong>\n\nEnterprise customers increasingly ask suppliers, partners, and portfolio companies about their AI usage policies. The lack of a policy, a registry, an approval process, and documentation can undermine credibility during sales, due diligence, or audits. \n\nWe help prepare documents, processes, and responses that demonstrate that the company uses AI in a thoughtful, responsible, and structured manner.\n\n<strong>Business benefit:<\/strong> AI governance becomes a talking point in discussions with clients, investors, and partners-not a problem to explain at the last minute.\n\n<strong>Risk of inaction:<\/strong> A company may lose momentum in its sales, investment, or audit processes because it is unable to demonstrate how it manages AI.\n\n<strong>Management is responsible for risks it cannot see<\/strong>\n\nWithout an AI roadmap, clear guidelines, and a decision-making model, management has no control over how AI affects the company\u2019s data, processes, customers, employees, and reputation.\n\nWe establish a governance framework: roles, responsibilities, approval thresholds, a registry of AI applications, rules for documenting decisions, and monitoring mechanisms.\n\n<strong>Business benefit:<\/strong> Management gains control without having to manually approve each case. Decisions are transparent, documented, and embedded in the process. \n\n<strong>Risk of inaction:<\/strong> The organisation makes technology-related decisions without proper oversight-and responsibility only falls back to the management level once an incident occurs.\n<h2>HOW OUR SOLUTION WORKS<\/h2>\n<strong>AI Compliance Operating System for Your Organisation<\/strong>\n\nWe do not create documents that just sit on a shelf. We build a practical system for using AI: from a use case map, through risk assessment, to guidelines for people and a process for approving new tools. \n\n<strong>Map of AI Use in the Organisation<\/strong>\n\n<ul><li>identification of current and planned uses of AI,<\/li><li>a review of internal tools, supplier systems, and automation,<\/li><li>analysis of HR, sales, marketing, customer service, IT, product, and analytics processes,<\/li><li>Identifying process owners and decision-makers.<\/li><\/ul>\nAI Usage Map: Tools, Processes, Departments, Data, Owners, and Priorities for Further Assessment.\n\n<strong>AI Act Classification and Organisational Roles<\/strong>\n\n<ul><li>an assessment of whether the solutions in question fall within the scope of the AI Act,<\/li><li>defining the organisation's role: provider, deployer, user, importer, distributor, or another role depending on the operating model,<\/li><li>preliminary risk classification,<\/li><li>Identification of responsibilities and areas requiring special oversight.<\/li><\/ul>\nClassification of AI applications and a list of responsibilities assigned to specific processes or products.\n\n<strong>Mapping Legal and Business Risks<\/strong>\n\n<ul><li>the intersection of the AI Act with the GDPR, cybersecurity, intellectual property, confidentiality, and trade secrets,<\/li><li>assessing the impact of AI on decisions regarding customers, employees, or job candidates,<\/li><li>analysis of contractual, reputational, and management risks,<\/li><li>Identification of critical risks, acceptable risks, and risks that can be mitigated through simple guidelines.<\/li><\/ul>\nRisk matrix with recommendations: what can be continued, what requires certain conditions, what requires approval, and what we do not recommend.\n\n<strong>AI Policy and Guidelines for Using the Tools<\/strong>\n\n<ul><li>developing a practical AI policy,<\/li><li>policies for handling personal data, confidential information, content, and know-how,<\/li><li>rules for verifying AI results,<\/li><li>rules for using public and company tools,<\/li><li>communications for employees and managers.<\/li><\/ul>\nAn AI policy and a set of guidelines that are understandable to the business, not just formally correct.\n\n<strong>Approval Model for New AI Implementations<\/strong>\n\n<ul><li>the process of submitting new AI tools and applications,<\/li><li>risk assessment criteria,<\/li><li>decision thresholds and approval processes,<\/li><li>legal, DPO, IT, security, HR, compliance, and business roles,<\/li><li>Checklists for managers and project teams.<\/li><\/ul>\nAn AI approval process that speeds up decision-making and reduces the number of ad hoc consultations.\n\n<strong>Documentation of Decisions and Oversight<\/strong>\n\n<ul><li>a registry of AI applications,<\/li><li>tool evaluation forms,<\/li><li>decision documentation templates,<\/li><li>monitoring and review procedures,<\/li><li>mechanisms for updating policies in response to technological or regulatory changes.<\/li><\/ul>\nA set of documents and tools for ongoing AI monitoring within an organisation.\n\n<strong>AI Literacy and Implementing Guidelines Within a Team<\/strong>\n\n<ul><li>training for employees and managers,<\/li><li>practical scenarios for using AI,<\/li><li>rules for escalation and asking questions,<\/li><li>implementation materials for teams,<\/li><li>support in communicating policies within the organisation.<\/li><\/ul>\nThe team knows how to use AI safely, when to seek approval, and how to avoid the most common mistakes.\n<h2>WHO IS THIS SERVICE FOR?<\/h2>\n<strong>For companies that want to develop AI without decision-making chaos<\/strong>\n\nThis service is intended for organisations that are already using AI or are planning to implement it on a larger scale and need clear guidelines, accountability, and a practical process.\n\nHead of Legal \/ Compliance Officer - when you need to translate the AI Act, GDPR, cybersecurity, IP, and corporate liability into practical guidelines that the organisation can actually use.\n\nCTO \/ Head of Product \/ IT Director - when a company is implementing AI tools, building an AI-based product, or needs a process that will not hinder technological development.\n\nCEO \/ Board Member \/ COO - when control is needed over how AI is integrated into the company, who makes decisions, and which risks require oversight.\n<h2>STAGES OF WORK<\/h2>\n<strong>A straightforward process from diagnosis to policy implementation<\/strong>\n\nWe take on the task of organizing this matter. On the client\u2019s side, we need access to information about tools, processes, and planned implementations, as well as interviews with selected individuals. We then structure the rest into processes, documents, and decisions.  \n\n<strong>Stage 1: Diagnosis and AI Usage Map<\/strong>\n\nWe identify where AI is already being used in the company, who is using it, what data or decisions are involved in the process, and which areas require priority.\n\n<strong>What the client gains:<\/strong> An overview of AI within the organisation and a list of topics that need to be assessed first.\n\n<strong>Stage 2: Classification of Responsibilities and Risks<\/strong>\n\nWe evaluate AI applications through the lens of the AI Act, the GDPR, cybersecurity, intellectual property, confidentiality, contractual liability, and reputational risk.\n\n<strong>What the client gains:<\/strong> A practical answer: what is safe, what requires guidelines, what requires approval, and what should be discontinued or redesigned.\n\n<strong>Stage 3: Design of Policies and Operational Model<\/strong>\n\nWe develop an AI policy, procedures, checklists, a model for approving new implementations, rules for documenting decisions, and basic oversight mechanisms.\n\n<strong>What the client gains:<\/strong> A ready-to-use system that can be implemented within the organisation without having to build the process from scratch.\n\n<strong>Stage 4: Implementation, Training, and Ongoing Support<\/strong>\n\nWe help communicate the policies, train employees and managers, answer questions, and establish a framework for ongoing monitoring.\n\n<strong>What the client gains:<\/strong> The team knows how to use AI, management has control, and the organisation has a process that continues to function even after the project is completed.","icon":null,"order_within_specialization":0,"flexible_content":[{"acf_fc_layout":"hero","section_header":{"section_header":{"eyebrow":"","heading":"Safe AI in your business. Move faster, while staying in control.","heading_highlight_mode":"none","heading_split":{"small_part_text":"","strong_part_text":"","":null,"small_part_size":"","strong_part_size":"","tag":"h2","style":"inherit","alignment":"inherit"},"description":"AI is already being used in your organisation-in employees\u2019 tools, suppliers\u2019 systems, HR, marketing, sales and customer-service processes, and in products. 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It is part of day-to-day operations. Employees use ChatGPT, Copilot, content generators, HR tools, sales automation, scoring, analytics and suppliers\u2019 systems.\n\nThe problem begins when no one has a complete picture: where AI is being used, what data it processes, whether it affects decisions, who is responsible for the risk, and which uses may trigger regulatory obligations.\n\n\u201cThe greatest AI risk in a company does not always arise from a major implementation. It often starts with a tool that no one has formally approved but that is already affecting data, customers, employees or business decisions.\u201d\n\nAI Compliance is not intended to halt innovation. It gives the organisation clear rules so that the management board, managers, IT, HR, legal, compliance and operations teams can make decisions faster-without recurring confusion or shifting responsibility.","":null,"heading_tag":"h2","heading_style":"section","alignment":"left"}},"carousel_settings":{"carousel_settings":{"autoplay_mode":"default","autoplay_delay":6.5}},"actions":{"button_cluster":{"intro":"","buttons":null,"alignment":"left"}}},{"acf_fc_layout":"expandable_box","section_header":{"section_header":{"eyebrow":"Common challenges","heading":"The most common problems we solve","heading_highlight_mode":"none","heading_split":{"small_part_text":"","strong_part_text":"","":null,"small_part_size":"","strong_part_size":"","tag":"h2","style":"inherit","alignment":"inherit"},"description":"","":null,"heading_tag":"h2","heading_style":"section","alignment":"center"}},"items":[{"problem_title":"You do not know where AI is actually being used in your business","teaser_description":"Employees test tools, departments buy solutions from suppliers, and some AI features appear in systems the organisation already uses. The management board sees the trend but not the organisation\u2019s full risk exposure.","solution_title":"","solution_description":"<p>We create a map of AI use across the organisation: tools, processes, departments, suppliers, data, decisions and accountable owners.<\/p>\n\n<p>You gain visibility of what is already happening and can prioritise action where the risk is real.<\/p>\n\n<p>AI will otherwise develop from the bottom up, without control over data, confidentiality, IP, accountability or its impact on customers and employees.<\/p>","icon":"","accent":"pink","open":false},{"problem_title":"You do not know which uses are subject to the AI Act","teaser_description":"Not every use of AI entails the same level of obligations. 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Teams know what they may do independently, when approval is required and whom to involve.<\/p>\n\n<p>Otherwise, operational disorder follows: duplicated questions, unclear decisions, delays, conflicts between departments and risks with no owner.<\/p>","icon":"","accent":"blue","open":false},{"problem_title":"Employees want to use AI but do not know what is prohibited","teaser_description":"The greatest risks often arise in simple situations: entering customer data into an AI tool, using confidential information, generating content that creates IP risk, or basing a decision on an output that no one has verified.","solution_title":"","solution_description":"<p>We prepare practical rules for employees and managers, together with an AI literacy programme tailored to roles within the company.<\/p>\n\n<p>People can use AI with greater confidence because they understand the boundaries: data, confidentiality, IP, verification of outputs, accountability and escalation.<\/p>\n\n<p>Otherwise, the organisation leaves AI security to employees\u2019 day-to-day decisions-without a common standard or predictability.<\/p>","icon":"","accent":"orange","open":false},{"problem_title":"Customers, investors or auditors are asking about AI governance","teaser_description":"Enterprise customers increasingly ask suppliers, partners and portfolio companies about their rules for using AI. The absence of a policy, register, approval process and documentation can undermine credibility in sales, due diligence or an audit.","solution_title":"","solution_description":"<p>We help prepare documents, processes and responses demonstrating that the company uses AI consciously, responsibly and systematically.<\/p>\n\n<p>AI governance becomes a strength in discussions with customers, investors and partners-not a problem to explain at the last minute.<\/p>\n\n<p>The company may lose momentum in a sales, investment or audit process because it cannot demonstrate how it manages AI.<\/p>","icon":"","accent":"pink","open":false},{"problem_title":"The management board is responsible for risks it cannot see","teaser_description":"Without an AI map, clear rules and a decision-making model, the management board has no control over where AI affects the company\u2019s data, processes, customers, employees and reputation.","solution_title":"","solution_description":"<p>We establish a governance framework: roles, responsibilities, approval thresholds, a register of AI uses, rules for documenting decisions and monitoring mechanisms.<\/p>\n\n<p>The management board gains control without having to approve every case manually. Decisions are visible, documented and embedded in the process.<\/p>\n\n<p>Otherwise, the organisation makes technology decisions without proper oversight-and responsibility returns to management only when an incident occurs.<\/p>","icon":"","accent":"violet","open":false}],"section_meta":{"anchor_id":"","is_enabled":true}},{"acf_fc_layout":"box_variants","variant":"process-detail","section_header":{"section_header":{"eyebrow":"Our solution","heading":"An AI Compliance Operating System for your organisation","heading_highlight_mode":"none","heading_split":{"small_part_text":"","strong_part_text":"","":null,"small_part_size":"","strong_part_size":"","tag":"h2","style":"inherit","alignment":"inherit"},"description":"We do not create documents that sit on a shelf. 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distributor or another role depending on its operating model,<\/li>\n \t<li>preliminary risk-level classification,<\/li>\n \t<li>identification of obligations and areas requiring particular oversight.<\/li>\n<\/ul>\n&nbsp;","tags":"classification of AI uses\nlist of obligations assigned to specific processes","count":"","accent":"blue","icon":""},{"title":"Mapping legal and business risks","description":"","body":"<ul>\n \t<li>the interaction between the AI Act and GDPR, cybersecurity, IP, confidentiality and trade secrets,<\/li>\n \t<li>assessment of the impact of AI on decisions concerning customers, employees or candidates,<\/li>\n \t<li>analysis of contractual, reputational and management risks,<\/li>\n \t<li>identification of critical and acceptable risks, and risks that can be mitigated through straightforward rules.<\/li>\n<\/ul>\n&nbsp;","tags":"risk matrix","count":"","accent":"orange","icon":""},{"title":"AI policy and rules for using tools","description":"","body":"<ul>\n \t<li>preparation of a practical AI policy,<\/li>\n \t<li>rules for working with personal data, confidential information, content and know-how,<\/li>\n \t<li>rules for verifying AI outputs,<\/li>\n \t<li>rules for using public and company tools,<\/li>\n \t<li>communications for employees and managers.<\/li>\n<\/ul>\n&nbsp;","tags":"an AI policy and a set of rules that the business can understand","count":"","accent":"orange","icon":""},{"title":"Approval model for new AI implementations","description":"","body":"<ul>\n \t<li>a process for submitting new AI tools and uses,<\/li>\n \t<li>risk-assessment criteria,<\/li>\n \t<li>decision thresholds and approval paths,<\/li>\n \t<li>the roles of Legal, the DPO, IT, Security, HR, Compliance and the business,<\/li>\n \t<li>checklists for managers and project teams.<\/li>\n<\/ul>\nAn AI approval procedure that speeds up decisions and reduces ad hoc consultations.","tags":"","count":"","accent":"pink","icon":""},{"title":"Documenting decisions and oversight","description":"","body":"<ul>\n \t<li>a register of AI uses,<\/li>\n \t<li>tool-assessment forms,<\/li>\n \t<li>decision-documentation templates,<\/li>\n \t<li>monitoring and review rules,<\/li>\n \t<li>mechanisms for updating rules following technological or regulatory changes.<\/li>\n<\/ul>\nA package of documents and tools for the organisation\u2019s ongoing oversight of AI.","tags":"","count":"","accent":"violet","icon":""},{"title":"AI literacy and implementing the rules across the team","description":"","body":"<ul>\n \t<li>training for employees and managers,<\/li>\n \t<li>practical AI-use scenarios,<\/li>\n \t<li>rules for escalation and raising questions,<\/li>\n \t<li>implementation materials for teams,<\/li>\n \t<li>support in communicating the rules across the organisation.<\/li>\n<\/ul>\nThe team knows how to use AI safely, when to seek approval and how to avoid the most common mistakes.","tags":"","count":"","accent":"blue","icon":""}],"footer_heading":"","footer_tags":"","actions":{"button_cluster":{"intro":"","buttons":null,"alignment":"left"}},"section_meta":{"anchor_id":"","is_enabled":true}},{"acf_fc_layout":"box_variants","variant":"box-point","section_header":{"section_header":{"eyebrow":"Who this service is for","heading":"For companies that want to develop AI without decision-making disorder","heading_highlight_mode":"none","heading_split":{"small_part_text":"","strong_part_text":"","":null,"small_part_size":"","strong_part_size":"","tag":"h2","style":"inherit","alignment":"inherit"},"description":"This service is for organisations that already use AI or are planning a broader implementation and need clear rules, accountability and a practical operating process.","":null,"heading_tag":"h2","heading_style":"section","alignment":"center"}},"items":[{"title":"Head of Legal \/ Compliance Officer","description":"","body":"when the AI Act, GDPR, 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together","heading_highlight_mode":"none","heading_split":{"small_part_text":"","strong_part_text":"","":null,"small_part_size":"","strong_part_size":"","tag":"h2","style":"inherit","alignment":"inherit"},"description":"","":null,"heading_tag":"h2","heading_style":"section","alignment":"center"}},"steps":[{"title":"Map AI use","description":"We identify where AI is already used, who uses it, which data or decisions are involved and which areas need priority.","accent":"pink"},{"title":"Classify obligations and risks","description":"We assess AI use under the AI Act, GDPR, cybersecurity, IP, confidentiality, contractual liability and reputational risk.","accent":"pink"},{"title":"Design policies and operating rules","description":"We prepare an AI policy, procedures, checklists, an approval model for new deployments, decision-recording rules and core oversight mechanisms.","accent":"pink"},{"title":"Implement, train and support","description":"We help communicate the rules, train staff and managers, answer questions and establish ongoing monitoring.","accent":"pink"}],"cta_text":"Schedule a call about AI compliance.","actions":{"button_cluster":{"intro":"","buttons":[{"button":{"link":null,"variant":"primary","icon":"arrow","icon_size":"inherit","size":"default","aria_label":""}}],"alignment":"left"}},"section_meta":{"anchor_id":"","is_enabled":true}},{"acf_fc_layout":"contact","section_header":{"section_header":{"eyebrow":"Contact us","heading":"Bring AI under control before an incident, audit or enterprise customer does it for you","heading_highlight_mode":"none","heading_split":{"small_part_text":"","strong_part_text":"","":null,"small_part_size":"","strong_part_size":"","tag":"h2","style":"inherit","alignment":"inherit"},"description":"AI can accelerate business growth, but only if the organisation knows where it uses AI, what obligations apply, who makes decisions and how risks are documented.\n\nComplete the short form. 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