How AI is reshaping document processing and fraud detection without compromising trust, accuracy, or compliance.
Emiliano, your journey from engineering and consulting to leading ParaScript is quite multifaceted—how have these diverse experiences influenced your approach to driving innovation in AI-powered document automation?
I have been blessed throughout my professional journey with the opportunity to learn about many industries, explore different market dynamics and ultimately meet and learn from incredible peers, colleagues and clients. My approach to innovation is built on three key ingredients:
- Setting the highest bar and striving for the best possible outcome. That’s how I bring out the best from my partners and teams.
- Encouraging failure and pushing my team to go beyond their limits and learn from mistakes. If you never fail, you never truly push yourself into new territories.
- Encouraging disagreement in the team, removing hierarchy and having people challenge each other and the status quo. Complacency kills performance and stifles innovation.
By mixing these ingredients within a well-structured environment, one that continually eliminates distractions and inefficiencies, I aim to help my teams explore the full potential of what we can accomplish together.
ParaScript is redefining document and fraud processing for financial institutions—how do you balance the need for high-speed automation with the uncompromising demand for precision?
Putting client needs and experience at the centre of everything we do is my obsession. At ParaScript, that translates into pursuing the highest accuracy and speed. As well as working closely with our clients to understand their challenges and help them solve them in the most effective manner. Financial institutions need technology solutions that can process high volumes of documents at remarkable speed, without compromising accuracy, while keeping an eye for cost effectiveness.
Our accuracy, speed and technology are the results of decades of machine learning knowledge and expertise, built over 3 trillion documents processed in almost four decades. Today, our solutions process over 100 billion documents each year and help us build deeper experience across financial services, government and insurance. Our proprietary AI continuously learns and adapts, fine-tuning itself over time to maintain high precision even as document types and fraud patterns evolve. That’s how we meet both the speed and reliability our clients need.
Fraud detection walks a fine line between security and customer experience. How does ParaScript help financial institutions catch threats without adding unnecessary friction?
We want to catch every instance of fraud as early as possible, but not at the cost of frustrating legitimate customers. Imagine a check is flagged because a customer’s signature looks slightly different, but in reality, they were just in a hurry. That false alarm would create friction that banks can now avoid.
ParaScript’s approach centers on maximizing fraud detection while minimizing false positives. Our fraud prevention tools such as signature verification, document authentication and anomaly detection are highly accurate and configurable. Each tool is powered by proprietary AI that enables real-time threat detection while also assigning confidence scores, allowing financial institutions to automate with precision.
The confidence score accompanies every result and allows institutions to fine-tune their threshold for flagging an item. A bank can decide whether to approve automatically, trigger a manual review, or escalate based on its own risk tolerance and application type. This ensures financial institutions can maintain security without adding unnecessary customer friction, supporting a better experience while protecting against loss.
Processing over 100 billion documents annually is a significant feat. What operational principles or technological enablers make this level of scalability achievable and sustainable?
ParaScript’s platform was designed from the ground up to support large-scale enterprise data transformation. Our technology does not just ‘read’ a document, we interpret, classify, validate and extract data from invoices, checks, forms and claims, processing tens of billions of documents annually while cross-checking for authenticity and compliance.
By choice, we do not manage our clients’ entire workflows, but we do provide the tools they rely on to meet their strict performance and compliance requirements. A workflow built on wrong information or data, no matter how well designed, is destined to fail. We bring trustworthiness to our clients’ data.
Our solution is platform-agnostic, meaning it easily integrates into any infrastructure, whether it’s cloud-native, on-premises, CPU- or GPU-based, or running on Linux or Windows. This flexibility ensures organizations can deploy our software at scale without costly overhauls or disruptions, and with extreme flexibility when it comes to total cost of ownership.
Self-learning systems are a standout feature of ParaScript’s platform. How do these models continuously adapt to evolving threats and document variability without compromising accuracy?
ParaScript’s AI was built with continuous optimization in mind. Our self-learning models, deployable on-prem or in the cloud, learn in real time from new document formats and fraud patterns without the need for hardcoded templates or lengthy retraining needed.
This adaptability is critical when you’re processing diverse, unstructured and multilingual content. By generalizing patterns across varied inputs, the system improves not just on the data it’s trained on, but on future data as well, delivering compounding accuracy over time.
It’s a future-proof approach that gives our clients an edge in a world of evolving threats and operational complexity.
You serve major players in the financial services, postal and government industries. What’s the common thread in what large enterprises seek when choosing a partner for document recognition and fraud prevention?
The short answer is trust. Our clients aren’t just looking for good software; they want a partner that will commit, deliver and optimize for their specific use case. We don’t take a “one-size-fits-all” approach or hand off generic tools. Every implementation is fine-tuned to the client’s unique needs.
In fact, this is a common point of failure for many vendors: they offer solutions that seem effective at first but can’t adapt when demands change. At ParaScript, we work closely with clients to make sure the technology performs at the highest possible level and adapts to all circumstances, at all times.
Building trust takes time and translates into lifetime relationships. Our largest client has been with us for close to three decades, and our top ten have been with us for close than two decades on average. In the highly competitive market we play in, success doesn’t come without becoming the performance standard or being able to build relationships that outlast generations.
Many systems struggle with complex handwritten content. How does ParaScript’s AI overcome the usual challenges associated with unstructured and multilingual data sets?
Handwritten and unstructured data are among the most difficult data sets in document automation. We’ve spent decades training our AI on real-world handwriting across trillions of samples. This gives our platform the ability to not only recognize characters but also analyse handwriting holistically, understanding spatial context, field types and writing styles.
Our models also support a wide range of languages such as English, Spanish, French, German, Portuguese, Italian and Russian, with a half dozen more being trained as we speak, making it one of the most flexible tools in the market for handling diverse document inputs.
With regulatory compliance being so critical, especially in financial services, how does your platform ensure legal and operational standards are maintained throughout automated processes?
Regulatory compliance is a major challenge for financial institutions and fintechs requiring strict adherence to verification standards to maintain operational integrity and avoid penalties. They are increasingly seeking modern technologies to help navigate these complexities.
ParaScript streamlines this process with robust document authentication and verification tools that align with regulatory requirements. By providing Know Your Customer (KYC), Anti-Money Laundering (AML) and Sarbanes-Oxley Act (SOX) compliance, ParaScript protects clients from costly liabilities while enabling them to operate more securely. Financial institutions and fintechs can focus on their core operations with confidence and trust that their document processing meets current and evolving legal standards.
On an ending note, where do you see the next leap forward in AI-powered document processing, and how is ParaScript positioning itself to lead that transformation?
The next leap in AI-powered document processing will focus on intelligence and adaptability, not just speed. As fraud becomes more complex and personalized, with tactics like synthetic identities and AI-generated documents, financial institutions need systems that can detect threats in real time across all channels—whether mobile, teller, ATM, or online. Prevention must happen early, before losses occur.
At ParaScript, we’re focused on building AI that not only detects but anticipates. Our self-learning models continuously adapt to new patterns and document types, enabling accurate authentication and anomaly detection at scale. With trillions of documents processed across financial services, government and insurance, we have the experience and data to keep our models sharp, so our clients can stay ahead of emerging threats with confidence.
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