Our services
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For AI providers, AI distributors, AI deployers and startups
AI Act Readiness & AI Governance — practical implementation
We help you implement AI governance requirements and good practices in a way that truly works in the organization—rather than ending at declarations. This includes mapping AI use cases, identifying risks, defining roles and responsibilities, establishing an approval process for new use cases, and preparing the required documentation, policies, and procedures.
For clients who need fast, tangible outcomes, we deliver implementations in a packaged format, with a predefined scope and clear deliverables.
AI use case inventory and classification
AI use case register and an “AI intake & approval” process (submission, use-case description, classification)
AI oversight and performance quality control
Human oversight procedures and rules for output quality assurance (validation, testing, monitoring)
Policies and standards for the safe use of AI
AI Use Policy and documentation rules (record-keeping standards, responsibilities, decision trail)
Risk management and compliance improvement
Recommendations for remediation and enhancement (action plan, priorities, roadmap)
For AI providers, AI distributors, AI deployers and startups
ISO/IEC 42001 — an AI management system as the foundation for compliance and trust
We implement elements of an AI Management System (AIMS) based on ISO/IEC 42001, ensuring that governance is audit-ready and scalable. ISO/IEC 42001 structures how AI-related decisions are made within an organization, covering risk management, the AI solution lifecycle, competencies, and oversight mechanisms. This approach is particularly valuable for B2B organizations that build competitive advantage through trust, standards, and process maturity.
Business outcome: a coherent system that supports regulatory compliance, facilitates collaboration with clients and partners, and strengthens market credibility.
AIMS implementation (ISO/IEC 42001)
System scope and governance roles, objectives, metrics, and oversight principles
AI lifecycle management
Standards for implementation and change management, Quality control, validation, and documentation
AI risk and compliance within the AIMS
Risk assessment methodology and risk registers, including monitoring of corrective actions
Competence and audit readiness
Training and accountability assignment, internal audit, and an evidence pack
For AI providers, AI distributors and startups
EU/Poland market entry for non-EU organizations
We provide specialized support to non-EU AI technology providers looking to offer their solutions in the EU. The service includes identifying obligations arising from the extraterritorial application of EU rules, assessing distribution and deployment models, preparing the required documentation, and structuring contractual relationships with clients and partners in the EU.
The goal is to enable EU sales while reducing legal, contractual, and reputational risk.
Regulatory qualification
Regulatory qualification of the product and its use cases (including AI Act classification, among others)
Communication standards
Customer communication standards (including information requirements and terms of use)
EU contract package
A contract package for sales and deployments in the EU (including liability, data, IP, confidentiality, security, and subcontractors)
Compliance Pack
Governance recommendations and a minimum “compliance pack” for discussions with enterprise customers
For AI deployers and startups
AI contracting, vendor governance, and supplier due diligence
In organizations deploying AI, vendor relationships are a key source of risk: allocation of liability, support levels, information security, rights to data and models, rules for using generated content, subcontractors, and cross-border data transfer risks. We provide contract reviews, drafting of tailored clauses, and hands-on negotiation support.
Contracts and liability
Negotiation and contract structuring with AI vendors: liability, SLAs, warranties, limitations, and escalation mechanisms.
IP and generated content
Structuring rights to data, models, and AI outputs, including licensing terms, to reduce the risk of disputes and loss of rights.
Vendor governance in procurement
Designing an AI vendor assessment process: checklists, acceptance criteria, and role allocation across Legal, Compliance, IT, and Security.
Data and security
Implementing clauses on information security, data processing, and data transfers and controls.
For AI providers, AI distributors, AI deployers and startups
Education services
We offer training that combines legal, compliance, and governance perspectives, focused on the safe use of AI and on reducing risks within specific organizational processes.
AI Policy development
A workshop to develop an AI Use Policy and operational rules, including an implementation checklist.
AI in business processes
Workshops for HR, marketing, sales, and customer support: permitted uses, risks, and do’s & don’ts.
AI compliance and governance
Training for Legal, Compliance, Privacy, and Security teams: roles, oversight, documentation, and risks.
Executive and managers
Accountability, decision governance, reputational and contractual risks, and oversight of AI deployments.