By framework

Prove your AI meets the EU AI Act

The EU AI Act sets a high bar for how AI is documented, governed, and monitored. Yields gives financial institutions one platform to inventory their AI, assess risk, and stay audit-ready, turning compliance into a natural outcome of how you already manage model and AI risk.

Category Leader in the Chartis 2025 RiskTech Quadrant for AI Governance.

The context

What the EU AI Act asks of you

The EU AI Act takes a risk-based approach, placing the strictest obligations on AI systems that can affect safety, fundamental rights, or significant societal outcomes, including machine learning used for credit scoring, risk pricing, and fraud detection. Its reach is broad: it applies to organisations established in the EU and to those outside it whose AI outputs are used in the Union.

In practice, meeting the Act means being able to demonstrate documentation, risk management, transparency, human oversight, and post-deployment monitoring across every relevant system. And regulatory labels alone do not capture real-world risk, so every AI system needs governance proportional to its actual impact. That is where Yields comes in.

Documentation and traceabilityRisk management and tiering Transparency and human oversightPost-deployment monitoring

The Yields approach

How Yields gets you EU AI Act ready

Yields turns the requirements of the EU AI Act into a structured, repeatable process on a single platform. Rather than treating compliance as a separate project, Yields embeds it into the AI lifecycle you already run, from first discovery of a use case through to ongoing monitoring in production. Here is how it works.

01

Discover and inventory every AI use case

Before you can assess risk or demonstrate compliance, you need to know exactly which AI systems are in use, what they do, and which models, components, and datasets they rely on. Yields centralises this in a single AI inventory, built through a structured, organisation-wide discovery campaign, so nothing is missed and shadow AI is brought into view. Each use case is registered with its purpose, technical detail, and associated risks.

02

Assess risk and apply tiering

With a complete inventory in place, Yields scores each use case, applies risk-based tiering, and focuses oversight where it matters most. This mirrors the risk-proportionate logic at the heart of the Act, so the systems that carry the most exposure get the most scrutiny, and lower-risk systems are not slowed down unnecessarily.

03

Generate documentation and evidence

Auditability is an operational requirement, not a good intention. Yields produces the documentation, risk assessments, and mitigation plans regulators expect, keeping traceability and transparency intact across every use case and every stage of the lifecycle. The paperwork is a by-product of the process, not a separate scramble before an audit.

04

Monitor continuously in production

Point-in-time checks are not enough for systems that drift. Yields supports ongoing monitoring of model performance and data behaviour, with thresholds that surface issues early, so problems are caught and addressed before they become incidents that reach your customers or your reputation.

05

Make accountability clear

Governance breaks down when responsibilities are unclear. Yields helps you assign an AI Owner for each use case and define who is responsible, accountable, consulted, and informed across the lifecycle, embedding accountability from day one rather than after something goes wrong.

Inventory your use cases, get the risk score, the mitigation plan, and all the necessary paperwork. Streamlined, prioritised, and regulator-ready.

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Why one platform matters

One framework for the wider regulatory landscape

The EU AI Act does not exist in isolation. It sits alongside model risk management expectations such as SR 26-2 and SS1/23, recognised standards including ISO/IEC 42001 and the NIST AI Risk Management Framework, and broader digital and data rules like DORA and GDPR.

Managing these in separate tools and spreadsheets multiplies effort and risk, especially for institutions operating across borders. Yields brings model risk management and AI governance together in one framework, so you can align risk, compliance, and data teams, map overlapping obligations once, and demonstrate reliability across every jurisdiction you operate in. Work you do for the AI Act strengthens your position under the other frameworks at the same time.

EU AI ActSR 26-2SS1/23 ISO/IEC 42001NIST AI RMFDORAGDPR

Why Yields

Governance that scales with you

Yields is built for financial institutions that need to scale AI responsibly, giving you the freedom to move quickly and the structure to prove you are in control. The principles of sound risk management that already define the strength of the sector become the foundation of your AI governance, so oversight is structured, automated, and ready to grow with your AI footprint.

Category Leader in the Chartis RiskTech Quadrant for AI Governance

Trusted by HSBC, BNP Paribas, Euroclear, and Banco do Brasil

Model risk management and AI governance in one platform

Turn EU AI Act compliance into confidence

Yields helps you bridge the gap between regulatory ambition and operational reality, giving you the means to demonstrate trust in your AI systems and to keep demonstrating it as the framework evolves. Structured, automated, and built to scale safely.