What are the RFP considerations for an AI-ready adverse media screening solution? 

Adverse media screening has evolved from being a cost-centre supporting compliance to become a critical part of modern crime prevention and risk management. The challenge for financial institutions and corporates, however, is that innovations have moved so quickly. For buyers, deciding on the right approach requires careful consideration. 

With the rapid adoption of AI, AI-powered processes have become a necessity, but not all solutions are created equal. The key question for procurement and compliance teams is what that AI actually delivers, how it can be governed and whether it results in measurable business and operational outcomes. 

As such, today’s RFP process is very different to the one many organisations will have been used to only a few years ago. Traditional questions around extent of media coverage, sophistication of matching and workflow remain important but they are no longer enough. Buyers should now use the RFP process to assess whether a solution can help them address new and evolving screening challenges. 

If your organisation is reviewing adverse media solutions, here are ten questions to factor into the RFP process. 

Q1: Does the vendor’s AI and workflow configurability meet your current and future operational requirements? 

The RFP is an opportunity to transform, enhance and future-proof your processes. Having the right combination of AI and workflow customisation is crucial and will allow you to design a process that will evolve with you. Used together, these powerful tools can help to manage alerts efficiently, automating where possible and removing unnecessary friction and delays. 

Q2: What lies under the AI label and what functions does it enhance and enable in practice? 

Many vendors will promote adverse media screening tools as “AI-native” or “AI-enabled” but AI should be more than a label. It should be a process that is embedded in practice across the entire workflow. It’s important to investigate any AI claims in detail. Does it improve detection, help identify relevant risk, reduce false positives, prioritise alerts and support analyst decision-making? The strongest solutions should use AI to improve outcomes beyond basic name matching and keyword search. 

Q3: Is the AI explainable? 

Explainability is important and means providing the 1^st and 2^nd lines of defence compliance teams with a clear, transparent explanation of how the models are performing and is it behaving as expected an alert was raised triage result was reached. This ensures that every automated decision or calculated risk probability is fully traceable, source-linked, and backed by an audit trail that can withstand regulatory scrutiny. 

Compliance teams, senior managers and external regulators need to understand how a model is operating and be confident the model is staying true from day 2 onwards. Internal teams will demand to know why a result has been surfaced, what evidence supports it and how the output can be reviewed, challenged and audited. This is especially important when you consider more advanced forms of automation and agentic AI. If AI is helping to triage or summarise risk, the RFP should test whether those outputs are transparent, defensible and aligned with their governance requirements. 

Q4: Can the adverse media screening solution act as a layer within a broader agentic architecture? 

Increasingly, some organisations are building their own unifying AI agents that orchestrate screening, alert management and a holistic view of risk. If this is an approach you are exploring, you need to be confident that the tool you are selecting can support a custom-built agentic layer rather than just owning the full experience. 

Q5: Does the adverse media screening solution deliver on coverage? 

Modern adverse media screening depends on the quality, breadth and usability of data. In your RFP process, you should review which media sources the tool covers. Importantly, you should also ask how deeply those sources are covered, how frequently they are updated, which languages and regions are supported and whether the platform can ingest both internal and external data at scale. This includes the ability to pull from and analyse multilingual sources to ensure true global coverage. 

Q6: Is the adverse media screening solution flexible enough to accommodate your changing data requirements? 

Data flexibility is a strategic imperative. As risks evolve, you’ll likely need to easily add, change or combine a variety of data sources, including your own internal proprietary information, within your existing adverse media screening setup. An AI-driven solution should have the flexibility to address new data requirements and apply intelligent screening practices consistently across these additional sources, helping your teams to build a more complete and defensible view of risk. 

Q7: Can the solution support a risk-based approach across multiple business lines and jurisdictions, often with distinct screening and data privacy requirements? 

Beyond basic data flexibility, you might have multiple lines of business that have different risk postures and compliance policies to follow. You might also have specific data security requirements due to the nature and location of your business, perhaps with operational teams in different locations. When conducting an RFP, you must be confident that your chosen vendor is able to accommodate these variances and ensure that your client data is visible only to those with permission to see it. 

Q8: Can the adverse media solution integrate easily within my existing technology stack? 

Adverse media is one crucial element of a broader and sometimes complex client lifecycle management process. Mature screening operations require a solution that fits into existing processes and that can support future technology roadmaps. 

Integration requirements will differ across organisations so the RFP process should test the practical interoperability and ensure it meets your individual requirement. That means assessing how adverse media screening outputs feed into creating a broader view of risk. 

Q9: Can the adverse media screening solution scale? 

Scalability is also vital. Many organisations restrict adverse media screening to high-risk customers, particularly if they rely on manual processes, and often this is through fear of the operational impact of applying it more broadly. If this has been a barrier for you, then AI, used in the right way, should help you overcome this operational burden by reducing false positives and enabling screening to be deployed across a broader scope without increasing headcount and without overwhelming your analysts. 

Q10: What long-term value will the adverse media screening solution deliver? 

Ultimately, the most important RFP questions examine tangible outcomes. You should consider how the solution helps your analysts focus time on the risk that matters, how it can improve effectiveness while reducing operational burden and whether it is explainable, defensible and supports strong governance. 

When investing in AI, you need to be confident that the relationship is a trusted partnership. Does your vendor have the in-house expertise and product strategy vision to support you today and into the future? 

Ultimately, if you are evaluating modern adverse media solutions, there is an opportunity to leverage the latest innovations. However, that innovation must be grounded in a strong purpose. The aim should be to choose a solution that combines intelligent and efficient analysis, explainable outputs, flexible data use and practical scalability. In a fast-moving risk environment, these are the capabilities that turn adverse media screening from a tactical compliance tick box into a more strategic line of defence. 

For more insights into adverse media and buyer considerations, download The State of Adverse Media Screening 2026 report.