The past few years have seen GenAI advance at a skyrocketing pace. On one hand, the technology has been getting progressively more sophisticated and more resource-efficient.
On the other, 2024 saw organizations take active steps to redesign workloads and senior leadership responsibilities to support widespread AI deployment.
However, whether you’re an experienced GenAI adopter or an occasional experimenter, any user of the tool will be aware that the technology isn’t proactive. For example, a marketing researcher will need to spend time experimenting with prompts and adjusting these over time to get the desired outputs from the tool. Once they have the desired content, the individual will also need to put this in action in some way, deciding how to use the research to build the next stages of the campaign.
Agentic AI is generating a great deal of buzz in the market due to its promise of delivering a more proactive AI tool that can support users across industries. In the scenario above, an AI Agent built for marketing would be able to refine its suggestions independently and take appropriate actions autonomously based on ongoing training and set parameters.
The latest evolution of AI means that the technology is one step closer to being truly useful as a digital assistant. Agentic AI builds on the progress made to date to offer a leap forward in capabilities.
With sophisticated reasoning and iterative planning, it can work autonomously to solve complex, multi-step problems, meaning it’s extremely well suited to act as a virtual employee within departments such as customer service and cybersecurity, to name just a few.
With on-going economic turbulence across the globe, mitigating risk is key for nearly ever sector. Yet fintechs and financial institutions in particular are under undue pressure stemming from non-performing loans, which negatively impact their balance sheets and raise the cost of capital.
One fast-growing startup, AestroAI, is on a mission to help financial institutions recoup some of these losses with an Agentic AI solution for litigation-based debt recovery.
Debt recovery innovation
Aestro AI has recently launched in both the US and Latin America to bring the potential of agentic AI to the litigation-based debt recovery without delay.
Agentic AI systems ingest vast amounts of data from multiple data sources and third-party applications to independently analyze challenges, develop strategies and execute tasks.
While other sectors work to bring forward the benefits of this emerging tech, Aestro is helping the finance industry get ahead of the pack.
Traditional debt collection methods are slow, inefficient, and often fail to recover critical funds. Aestro disrupts this paradigm by integrating AI-powered legal strategies that optimize litigation-based recovery, ensuring higher success rates while reducing operational costs.
CEO of Aestro AI, Hernando Barreto, explained this further in a company statement.
“We are redefining the future of debt recovery by bringing cutting-edge AI to the legal process. Our platform enhances efficiency, accelerates collections, and provides fintechs with a strategic advantage in mitigating financial risk,” said Barreto.
The Agentic Service as a Software company detailed how its AI-driven platform empowers fintechs and community banks with an intelligent, automated, and cost-efficient solution for last-mile debt recovery during Emerge Americas, a technology conference that took place March 27-28 in Miami.
Recouping massive losses
When it comes to debt collection, slow and costly litigation can force debt-holders to sell accounts at 75-90% losses. These significant losses drain profits and raise overall borrowing costs that ultimately impact the customer.
Community and regional banks serve an essential function in the banking industry, connecting local and interstate organizations with financial institutions tailored to their specific needs. In fact, there are around 4,001 community banks with 27,511 branches and 134 regional banks with 13,109 branches across the US.
Yet hard-to-recover debt can make it difficult for small and community banks to stay in business.
Using a more efficient debt collection process with Agentic AI means that banks can recoup their losses and continue to offer competitive rates to more customers and business owners during a time when financial aid is needed the most.
Aestro AI’s platform seamlessly integrates with fintechs and community banks, leveraging advanced AI models to assess debt recovery likelihood, automate legal workflows, and manage end-to-end litigation processes.
Unlike traditional collection agencies, Aestro harnesses AI to prioritize cases with the highest potential for recovery, ensuring an efficient and scalable solution for financial entities.
The future of litagation based debt recovery
Aestro’s launch at Emerge Americas featured live demonstrations, industry panels, and exclusive insights into how AI is reshaping legal debt collection. The company is actively engaging with key financial stakeholders, investors, and media to highlight its approach.
