When Vigilance is the Mission: Sample Finch AI Use Cases

Any data analysis or report can become stale within minutes of its initial creation. Context changes. Relationships change. New events occur.  That’s why Finch AI’s solutions continually monitor the entities, topics and events of interest to our customers – no matter the domain or ontology. As a result, we’re constantly discovering new relationships and connections and then feeding those insights back into a retrieval augmented generation (RAG) pipeline. This means our customers will instantly know about changes in – for example – the risk profile of a person or company, new negative or positive corporate financial information, or regulatory or legal changes that impact their industry.

And this absolutely matters for analysts with missions centered on diligence, security or targeting.

Let’s take a closer look.

Risk Management: Due Diligence Done Differently

When it comes to corporate diligence that involves understanding foreign ownership, control and interests (FOCI) and how that influence could affect companies doing business with the United States Government, many of the traditional vendors (think: Dun & Bradstreet, Moody’s, Exiger, etc.) have created data sets that rely upon static regulatory databases and published self-reported data. From there, they invite users to derive and correlate the connections among a company, its personnel, its ownership interests, and all of their citizenships and countries of residence and operation.

We do it differently. We use AI agents, which are built for specialized analytical tasks, and recipes, which include specific instructions for how to build a report on an individual person, company or organization. Together, they automatically filter and curate data sets that we enrich up to the minute with copious amounts of metadata and context. We can do the same with a customer’s data. This delivers unique intelligence – and it can be done in minutes, rather than days or weeks, as is the norm today.

Securing Innovation and Intellectual Property from Foreign Adversaries

In a similar vein, we use this approach to understand the citizenship status and affiliations with foreign governments of U.S. academic personnel and the institutions that receive U.S. government funding for research purposes. It’s long been established that foreign actors have an interest in accessing and exploiting American intellectual property for their own gain, threatening America’s global leadership and our economic stability.

Using a domain-specific knowledgebase inside of our platform, our tools can understand and map the direct and indirect relationships between individual researchers, their universities, and their affiliated domestic and foreign governmental connections. A comprehensive database of this information allows both the universities and the U.S. government personnel who are evaluating grant proposals to understand the potential exfiltration risk.

Actor and Area of Responsibility Targeting

For customers in the Defense sector in particular, Finch AI offers an area of responsibility (AOR) report capability. These reports, generated using the same thorough and context-based approach, can be tailored for specific geographic regions, nation-states, and individual actors.

We leverage AI agents to perform discrete tasks following a precise recipe and workflow for these types of reports. This compiles the geopolitical risks relevant to the AOR entity of focus and includes topics like military movements and developments, political stability, economic indicators and policies, social and cultural trends, technological advancements, cybersecurity and information warfare, and technological advancements.

Most recently, in light of the U.S. Government’s effort to seek and implement efficiencies, these AOR reports have been enhanced to include specific outlays of foreign aid to a particular region of the world. The goal of this report type is to uncover the investments made to governments, to uncover adversarial investments, and to create a network map to be used within the Finch AI ecosystem of analysis, reasoning, and intelligence generation.

The same agentic learning approach can also summarize and categorize the activities of unknown user personas in online chat and discussion forums to surface risk, connections, topics of interest and political affiliations in order to alert users of potential nefarious or radicalized actors to monitor. And, again, with unmatched speed, accuracy and up-to-the-moment relevance.

Across these and other use cases that demand fast, always-on and accurate insights and analysis, Finch AI solutions offer a tremendous degree of utility and mission value.

To learn more, please visit www.finchai.com.

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