Kognitos is attending ITC Vegas, October 14-16 in Las Vegas. See us at booth #454 or join us for dinner at Momofuku.
Kognitos is attending ITC Vegas, October 14-16 in Las Vegas. See us at booth #454 or join us for dinner at Momofuku.
The current manual KYC (Know Your Customer) process employed by banking institutions is labor intensive, time consuming and prone to errors. The process involves collecting and verifying various documents from customers, such as identification cards, proof of address, and financial statements. Bank staff manually review these documents, extract relevant information, and enter it into the system for verification and compliance purposes. This leads to inefficiencies, delays in customer onboarding, increased operational costs, and a higher risk of regulatory non-compliance.
Automating the KYC process using Kognitos presents a transformative solution to the challenges faced in manual KYC processes. By leveraging OCR technology, the system can accurately extract text and data from scanned documents. Al algorithms can then analyze and verify the extracted information against predefined criteria, flagging any discrepancies or inconsistencies for review by human operators.
Additionally, API-based automation can streamline the integration of third-party verification services and databases, enabling real-time checks against government databases, sanctions lists, and adverse media sources.
This automated approach significantly reduces processing time, minimizes errors, enhances compliance with regulatory requirements and improves the overall customer experience by expediting the onboarding process.
Here’s the process in action:
Here’s a detailed demonstration of how you can automate the Statement Reconciliation Process on the Kognitos Platform, and handle any exceptions that the platform might face.
Here’s a detailed demonstration of how you can automate Bank Statement Reconciliation (part of the Record to Report Process) on the Kognitos Platform, and handle any exceptions.
With Kognitos, tedious and complicated Insurance processes can be streamlined with automated exceptions handling – an intuitive feature that adds “local logic” to each individual claim. No longer will time-consuming forms from vendors impede progress; now you have the power of automation at your fingertips!
With a digital resume pool to sort through, companies are able to quickly and effectively process applicants’ credentials in search of the perfect hire. Thanks to powerful filtering software that identifies keywords relevant for each job listing, even hundreds of resumes can be filtered down into just a few qualified candidates.
No longer is the use of OCR limited to pre-defined templates or painstakingly trained models – Kognitos provides a revolutionary solution that allows for natural language queries and data extraction with little more than an English command. In other words, you can ask your computer what kind of information you need in plain terms and get precise responses!
Kognitos uses LLMs + Automation in a safe, auditable format to query unstructured legal documents and take actions with only a few lines of natural language.
Kognitos shows how even complex, end to end processes involving lots of documentation and multiple processes can be easily automated all in natural language. No extensive training necessary, no complex drag and drop workflows. Just type in English the process steps and let Kognitos do the rest.
Kognitos has built an OS for rapid automation and innovation fueled by AI and a Natural Language interpreter allowing humans to build automations and manage exceptions all in intuitive English.
In this video we showcase how to automate a process that compares order confirmations, packing slips, and Salesforce data to reconcile account information and close out a deal!
In this video we show you how you can build an automation that uploads a Purchase Order to Salesforce in order to close out an opportunity. We build the entire automation using Koncierge showing how quickly we can build end to to end automations.
