Financial services face a continuous and increasing demand to clean and structure their data records – everything from emails, receipts, and customer registrations, to loan applications and contract documents. Kili Technology can play a vital role in transforming all this unstructured data into high-quality data training sets, with less risk and more speed.Book a demo
Main banking AI use cases
Customer email processing
Kili Technology has enabled many banking institutions to save costs and speed up the processing of customer emails. This includes accurately classifying email attachments, understanding customer sentiment, and delivering responses that are effective and relevant.
Customer service chatbot
Kili Technology has empowered financial service clients to increase customer service engagement at scale thanks to our advanced chatbot development. Identifying and analyzing customer questions, complaints, and even transaction requests through text and voice data have been proven to increase banking customer satisfaction and loyalty.
Banking contract processing
Kili can streamline contract management processes, making them much faster and cheaper. Entity recognition and linking are performed to quickly and accurately extract important clauses and contract terms.
We solve banking AI challenges
Kili Technology makes text and image annotation fast and simple to improve your banking operations. Import your banking records in bulk: emails, contracts, customer registration documents, loan applications, due diligence records, and more. With our AI-based contract management tools, you can classify all your documents, identify sentences, clauses, and statements within contracts, and extract information from your scanned compliance records. Build your training datasets with highly customizable interfaces that allow you to combine tasks to improve productivity.
Manual data annotation can be expensive, laborious, and time-consuming. In addition, banks need to pay extra attention to the quality of the annotated data, because missing details on customer records when assessing loan applications or issues of AML or KYC compliance, can have huge regulatory consequences.
Kili Technology can help by offering your teams the tools to create unbiased, trustworthy AI in one very cost-effective platform. We provide you with one central solution to data labeling that addresses all use cases and works all data types, including text, PDF, image, video, audio, chatbot annotation and entity recognition.
Create datasets from data annotation
Departments in banking institutions around the world are looking to use AI models to automate tedious tasks such as contract management, customer emailing and communication, Know-Your-Customer (KYC) processes, and so on. However, creating and training these models requires access to large amounts of annotated data of relevant texts, images, and audio.
It is not a major problem to find certain datasets. For instance, to train a customer service chatbot you can search for "chatbot datasets" in your favorite search engine.
However, in order for a model to be able to make accurate predictions, it must be trained on a large amount of high-quality data that relates to the problem you want to address.
More specifically, as banking institutions deal with highly sensitive data, to perform on a real use case, you will have no choice but to collect data from your database and label it. But labeling can be both expensive and prone to error.That's where Kili Technology comes in.
What makes Kili Technology different?
Kili Technology delivers a best-in-class performance to annotate text, PDF, image, and OCR. We offer specialized interfaces for all annotation tasks related to document classification, entity recognition to identify specific phrases in contracts and loan application files, relations extraction, image transcription for your banking records, and more.
Data annotation can be expensive. By allowing the use of online learning, active learning, weakly supervised learning or data augmentation, Kili Technology allows you to drastically reduce the cost of data annotation.
Kili Technology's state-of-the-art quality assurance management allows for intensive collaboration and rigorous review throughout the life of the project to ensure clean, high-quality banking training datasets.
At Kili Technology, you can annotate data wherever you want, with whoever you like. Kili can source and qualify the manpower you need to annotate on premises or offshore. We help you set clear guidelines and instructions so annotators know exactly what to do.
Kili Technology has access to a unique network of professionals around the world who are able to accurately translate, transcribe, and annotate financial data, so we can quickly create large, custom training datasets at scale for use cases in banking institutions.
Training data interfaces for banking
Document classification for banking files
Add structure to all your banking records to identify emails, receipts, contracts, or other financial records. Leverage our nested classification feature to define granularity. We support the image, text, PDF, and audio format for AI in financial institutions.
Entity Extraction for legal contracts
Add structure and semantic information to unstructured text at the document and word level. Take advantage of our weakly supervised learning service to use business rules such as regular expressions and dictionaries to annotate massively before human intervention.
OCR for compliance due diligence records
Crop parts of the text while saving the text to construct training data. Correct even the most subtle input errors, since even the smallest errors cannot be tolerated when handling sensitive financial data.
Our platform is as powerful as it is customisable–streamline processes, simplify collaboration and ensure quality.
Last but not least, because our platform is as powerful as it is customizable, you can create your own interfaces to streamline processes, simplify collaboration, and ensure quality.