Auditor™

The AI Governance platform

Auditor™ is the AI Governance platform built for leaders and compliance teams in banking, insurance, and fintech. It lets you automate complex processes, cut audit and supervision costs by up to 60%, and maintain alignment with key regulations like the AI Act.

Download Product Brief

Cut your AI compliance costs by 60% and stay aligned with the AI Act

Reducing costs comes directly from automating manual and time-consuming processes. Staying compliant with the AI Act is simpler when you have a tool for continuous monitoring and reporting.

Keep your organisation compliant with the AI Act and ISO:42001

Putting an automated AI supervision system in place directly cuts the time spent on coordination and control. Your organisation gains a consistent process for regulatory compliance, which minimises operational risk and costs.

Monitor all AI model behaviours in real time

A live view of how your models are performing allows for proactive management of risk, bias, and transparency. This level of control is essential for meeting AI Act and GDPR requirements, and it also optimises the costs of compliance analysis.

Automatically generate compliance reports and data for fine-tuning AI models

Automating the reporting process gets rid of manual data collection and significantly shortens the time needed to prepare documents. You also receive ready-to-use data sets that help your technical teams adjust AI models more effectively and at a lower cost.

Find gaps in documents more effectively

The platform analyses documentation for alignment with internal policies and external regulations, such as GDPR or DORA. The process of identifying and filling these gaps is supported by AI but always stays under your supervision, giving you complete control.

The cost of AI governance: what it is and how much it costs

The average annual cost for one AI model in the EU financial sector is €120,000. This amount covers key processes like supervision, testing, and creating documentation. If you manage a whole portfolio of models, these costs multiply.

Discover the detailed breakdown of AI Governance expenses. Our analysis, based on over 50 financial sector firms, examines all the elements that make up the final figure.

Download the full cost analysis

€29,000 year/model

This is the hidden cost of the time your management team (Supervisory Body, AI Governance Leader) spends on general supervision. Auditor provides them with precise data that can reduce this time commitment by up to 25%.
€ 68.000 year/model

The manual process of testing models by QA teams is one of the most expensive stages. It involves creating scenarios, running them, and analysing the results. With Auditor, you can automate these tasks, lowering personnel costs by up to 80%.
€ 8.000 year/model

Continuous assessment of risk, ethics, and model impact is a regulatory requirement. Auditor systematises these processes and supplies monitoring tools, helping to reduce related costs, which are often spread across different departments, by up to 80%.
€ 10.000 year/model

This isn’t about building a model from scratch, but constantly improving it through adjustments. The process requires time-intensive data preparation. Auditor automates this stage, cutting data management costs by up to 90%.
€ 5.000 year/model

Your internal auditors spend many hours manually searching for gaps in AI system documentation. Auditor performs this analysis automatically, which can reduce the associated personnel costs by up to 90%.

*The data above is based on an analysis of over 50 large banking and finance companies in Poland and the EU, as well as publicly available market reports from sources including CEPS, EBF, Wipro, Deloitte, McKinsey, and EY.

Full control over your AI in 5 steps

Auditor™ adapts to your infrastructure, whether in the cloud or on-premise.

Connect all data sources

You start by creating a central repository for all your AI model data. If needed, we can help you build an infrastructure that meets ISO:2700-1 and ISO:42001 standards.
Build a complete register of AI systems

Next, you register every system and AI model in Auditor. This creates a complete inventory of your organisation’s entire AI ecosystem, which is the foundation for all further actions.
Define your own compliance rules

In this step, you take full control by defining your own security, quality, and ethics policies within Auditor. The platform will use these rules to automatically verify how your models are working.
Launch automatic monitoring

You set the frequency for how often Auditor should automatically analyse data against your policies. After each cycle, you get a full compliance report and a ready-made data set with recommendations for optimisation.
Eliminate risk and strengthen compliance

Working from the platform’s recommendations, you implement the necessary fixes. Repeating this process in cycles allows you to constantly improve your level of compliance and minimise risk.

Let’s talk about your AI governance strategy

Not sure where to begin? During a short, free demo, we’ll show you how Auditor™ can support your strategy and processes. You’ll learn about best practices and see how to achieve full AI compliance and control in practice.