About this service
Safe AI use review
Safe AI use review
We map how AI is actually used in your organisation and establish rules that reduce risk without slowing operations.
We map how AI is actually used in your organisation and establish rules that reduce risk without slowing operations.
What the review delivers
An AI safety review reveals how the firm truly uses AI, mitigates the risk of data leakage, and facilitates the justification of AI adoption to management and clients alike.
Overview and Control: a map of all AI tools actually used within the firm, identification of unapproved (“shadow”) AI usage, and a clear overview of where and how AI interacts with sensitive data
Risk Mitigation: reduced risk of corporate or client data leakage, lower probability of erroneous decisions based on uncontrolled AI output, and a more consistent approach to AI across departments
Trustworthiness: verifiable AI usage policies, easier justification of AI implementation to management, clients, and partners, and readiness for future regulatory requirements
These benefits are not automatic—they are achieved by first determining the actual state of affairs and only then establishing rules that function effectively in practice.
Deliverables
Our collaboration yields more than just recommendations; we provide concrete documentation and tools that your firm can implement into operations immediately.
Map of actual AI usage within the firm (inventory of tools and use cases)
Risk assessment based on data sensitivity and use case type
Internal AI usage policy (allowable and restricted activities, defined accountability)
Guidelines for handling sensitive and personal data within AI tools
Approval process for new AI tools and use cases
Employee checklist for secure AI usage
AI incident response procedure
Team training recommendations
The scope and combination of deliverables depend on the client’s specific situation—we will finalize the list following an initial consultation.
Where AI boundaries lie
Employees may use AI for drafting texts, analyses, or summaries. However, they cannot delegate responsibility for content leaving the firm to AI, nor make decisions on sensitive corporate or client matters without human oversight.
Data handling: what AI is permitted to process and what is not—specifically regarding personal data, trade secrets, and sensitive contracts
External outputs: who is accountable for content that AI helped create before it leaves the firm
Decision-making: where AI can only provide suggestions and where a designated responsible person must make the final decision
That is why we structure controls to ensure that AI remains a tool in the hands of employees, not an independent source of risk.
Before we set the rules, we map the reality
Before recommending any governance policies to a firm, we identify how AI is actually being used—often in ways that differ from the firm’s perceptions or official policies.
which AI tools employees are truly using
what data these tools can access
where risks of data leakage or erroneous decision-making originate
where clear accountability for AI-generated outputs is lacking
which processes are already in place versus those needing new implementation
how to enforce rules in practice, rather than merely on paper
Our product is not just a written policy; it is a functional system of rules that the company can genuinely uphold in daily operations.
Why AMLytix
We understand both AI governance and corporate operations—we can establish rules that function in practice, not just in a document that no one reads.
16+ years of experience in risk management and compliance
cross-sector experience—from regulated finance to technology firms
practical knowledge of where AI realistically creates risk, rather than just theoretical risks from checklists
a combination of banking, consulting (Big 4), and crypto-native practice
experience from across the entire CEE region
The result is a framework that the company can realistically adhere to—and one that will withstand internal audits or client inquiries.
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